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Sonochemistry and Advanced Oxidation Processes

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Page 1: Sonochemistry and Advanced Oxidation Processes

Synthesis of Nanoparticles andDegradation of Organic Pollutants

Page 2: Sonochemistry and Advanced Oxidation Processes

320*345 pt

Thesis for the Degree of Doctor of Philosophy

Sonochemistry and Advanced Oxidation Processes:

Synthesis of Nanoparticles and Degradation of Organic Pollutants

Yuanhua HEParticulate Fluids Processing Centre

School of chemiStry UniverSity of melboUrneAUStrAliAApril 2009

••

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Copyright ©Yuanhua HE 2005-2009

This work is licensed under the Creative Commons Attribution-NoDerives 2.0 License(Australia)http://creativecommons.org/ licenses/by-nd/2.1/au/

You are free to copy, distribute and display this work, and to make commercial use of this work, provided that you give credit to the authorYuanhua HE. You may not alter, transform, or build upon this work. For any reuse or distribution, you must make clear to others the licenseterms of this work. Any of these conditions can be waived if you get permission from the copyright holder, University of Melbourne. Yourfair use and other rights are in no way affected by the above.

PDF WEB EDITION.

National Library of Australia Cataloguing-in-Publication entry:HE, Yuanhua.Sonochemistry and Advanced Oxidation Processes: Synthesis of Nanoparticles and Degradation of Organic Pollutants.

Bibliography.Includes index.1. Sonochemistry. 2. Sonophotocatalysis. I. University of Melbourne. School of Chemistry. II. Title.

This online version of this thesis is archived at the University of Melbourne ePrints Repository and is part of the Australian Digital Thesesproject. It can be accessible athttp://adt.caul.edu.au/

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Abstract

This century has seen a phenomenal growth in energy demands and environmental pollution, which has given riseto a worldwide awareness for the need to address these issues immediately.

This thesis focuses on the fabrication of high performance electrocatalysts applied in fuel cells and developingappropriate advanced oxidation processes for environmental remediation. It has been shown that ultrasonic irra-diation is a promising method of synthesizing nanometer sized metal colloids with specific properties. Sonopho-tocatalysis has proved to be an effective process for the degradation of organic pollutants.

The synthesis of platinum monometallic and platinum-ruthenium bimetallic nanoparticles was successfullyachieved by using sonochemical irradiation. A chemical method and a hybrid method were used to reveal andunderstand the process of Ru(III) reduction by sonochemistry. TEM images of the Pt and PtRu monometal-lic/bimetallic particles indicate typical diameters of less than 10 nm. An effort was made to investigate the influ-ence of two different methods, namely simultaneous and sequential sonochemical reduction, on the structure andformation of PtRu bimetallic nanoparticles. It has been shown that the sequential reduction method produces a rel-atively higher yield of core-shell nanoparticles than the simultaneous reduction method. It has been concluded thatPt nanoparticles, which are formed first, play an important role in catalyzing the formation of Ru nanoparticles.

A number of methods including chemical, sonochemical and radiolytic synthesis were used to fabricate plat-inum and platinum-ruthenium monometallic/bimetallic nanoparticles. Furthermore, the evaluation of the electro-catalytic performance of these particles was performed by using cyclic voltammetry. Simultaneous and sequentialmethods for the synthesis of PtRu were adopted to investigate their influence on the electrocatalytic performance

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ABSTRACT

of these bimetallic nanoparticles. It has been shown that simultaneous reduction is an effective means of fabricat-ing high performance electrocatalytic PtRu catalysts. A number of experiments with different ratios of platinum toruthenium ions in precursor solution were carried out to study the effect of the ruthenium composition in platinum-ruthenium electrodes. It has been found that the methanol oxidation ability of platinum-ruthenium bimetallicnanoparticles can change with the alternation of ratio of Pt(II) to Ru(III) in the precursor solution. Simultaneousradiolytic reduction has the potential to fabricate higher performance electrocatalytic bimetallic nanoparticles.

Although both photo-oxidation and sono-oxidation techniques are fascinating solutions to the environmentalproblems at hand, the critical limit of these individual processes is their low efficiency of environmental reme-diation. In my project, sonolysis and photocatalysis (sonophotocatalysis) have been simultaneously employedto degrade selective organic pollutants in aqueous environments, such as methyl orange, p-chlorobenzoic acid,p-aminobenzoic acid and p-hydroxybenzoic acid. Experiments have been carried out in order to improve the ef-ficiency of sonophotocatalytic reactions to ensure that a substantial amount of the electrical energy is utilized indegrading the organic pollutants.

Methyl orange, an azo dye, was selected as the degradation target for sonophotocatalysis. An orthogonal arrayanalysis method was employed to clarify the correlation between the efficiencies of sonolysis, photocatalysisand sonophotocatalysis and the various operation conditions studied. Emphasis was placed on investigating theinfluence of pH and the ultrasound parameters on these three advanced oxidation processes. It was of interest tofind that the degradation of methyl orange originates from hydroxylation and demethylation processes precedingaromatic ring-opening.

Sonophotocatalysis was also applied in the degradation of three aromatic carboxylic acids, p-chlorobenzoicacid, p-hydroxybenzoic acid and p-aminobenzoic acid. Experiments were carried out in order to get a thoroughunderstanding of the synergy effects produced by combining the two oxidation techniques. A number of advancedanalytical techniques, such as HPLC and Q-TOF MS/LC, were employed to comprehensively monitor and ana-lyze the sonophotocatalytic degradation process. It has been found that synergistic effects of the combined systemhave been identified with respect to the parent organic pollutant as well as its degradation products. Additionally,products were quantitatively analyzed by a kinetic simulation method in order to understand the reaction mecha-nism. This method also allowed us to quantify the synergy effects. It was observed that the solution pH played

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ABSTRACT

a key role in determining the degradation rate and controlling the direction of the degradation reaction. Basedon the analytical data gathered, the sonophotocatalytic degradation pathway of the aromatic carboxylic acids wasestablished. The experimental results suggest that the sonophotocatalytic technique is likely to lead to a completemineralization of organic pollutants in aqueous solutions.

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This is to certify that:

the thesis comprises only my original work towards the PhD except where indicated,

due acknowledgement has been made in the text to all other material used,

the thesis is less than 100,000 words in length, exclusive of tables, maps, bibliographies and appendices.

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Acknowledgements

Frankly speaking, I do not think that English is the right language I can use to express exactly my heartfelt thanks,but I have tried my best to do.

CONFUCIUS SAID:” EVERYBODY IS WORTHY OF LEARNING FROM.” There are many people who helpedme, whom I learned much from, during my first year study, in many different ways.

”Give a man fish, he will have a meal; teach him to fish, he will have food all his life.” I cannot pick upany better sentence than this to describe how much I received great benefit from my two supervisors and how Idevelop and grow with my academic life under their supervising. My foremost thanks go to A/Prof. Muthupan-dian Ashokkumar and Prof. Franz Grieser, for their unconditional support, and for their trust in allowing me topursue many ideas. They are a tremendous, really tremendous, source of support and assistance. Their thoughtfulcontributions to my work and my life are diverse and profound.

I would like to extend my thanks to Prof. Kizhanipuram Vinodgopal, for the trouble he took in teaching andtraining me in how experiments should be done during my earlier efforts in sonochemistry, and supervising mywork at the University of Notre Dame. I gratefully acknowledge the help and support received from Prof. PrashantV. Kamat, A/Prof. Sandra Kentish and A/Prof. Weilin Guo.

It was a real privilege to work with Dr. Kenji Okitsu and Dr. Anusorn Kongkanand. Even in a short time Ibenefited from their patience to answer my questions and to provide a deep understanding of probability.

The technical assistance of Mr. Les Gamel, Mr. Alf Meilak, Ms. Sioe See Volaric, Dr. Sergey Rubanov andMr. Paul O’Donnell is greatly appreciated. Thanks also to the workshop, store and general staff of the School of

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ACKNOWLEDGEMENTS

Chemistry for always being so kind and helpful.I am fortunate that I became a member of the Sonochemistry Group. It has been a great privilege to grow up

and breathe with them. Above all, is the enormous debt of gratitude I owe all the people for the roles they playedas teachers, mentors and friends. Particular acknowledgements and thanks are due for the contributions from mycolleagues Adam Brotchie for the thorough proof reading of the whole thesis and Dr.Devi Sunartio for one ofthe chapters. Thanks and appreciation also to Dr. Judy Lee, Dr. Ritu Singla, Ms. Francoise Gelb, Dr. ShobhaMuthukumaran, Dr. Parag Kanthale, Boon Mian Teo, Envi Ciawi, Jasmina Zukan, Beena Jimmy George, JennyZuo, Leena Devendra, Thomas Leong, Tom Statham, Ivy Lee, Michelle Fatima Tchea, Dr. Hung Si Vo, Dr. MeifangZhou, Dr. Shuhui Wu, Dr. Raman Bhaskaracharya, Dr. Madhavan Jagan and Dr. Neppolian Bernaudshaw.

I would gratefully like to acknowledge extensive debts to all the members in Fuel Cell Group, The Universityof Notre Dame. Research in electrochemistry appeared as a challenging task when I first start the Fuel Cell project.I am sure that I cannot complete this project without the helps from every member.

I have drawn most heavily upon the contributions of A/Prof. Rachel Anne Caruso’s group: Dr. Dehong Chen,Lu Cao, William Mcmaster, Xingdong Wang, Dr. Fuzhi Huang, Glenna Drisko, Maryline Chee Lee Yin CheeKimling.

A particular debt is owed to all my friends: I would like to acknowledge that without their help and care, Iwould not have such wonderful time in The University of Melbourne. Therefore a particular thanks to JoannelleBacus, Dr. Lucy Clasohm, Bhargava Shashikanth Parcha, Dr. Colin Scholes, Andrew Rapson, Anna Mularski, Dr.Sabina Zahirovic for giving me a colorful life in Australia.

I particularly thank Barbara Li, Sammi Tsegay, Adrian Lam, Dr. Sean Mathai, Dr. James Andell Hutchison,Dr. Xiaotao Hao, Dr. Wanjun Zhang and Dr. Dacheng Liang for releasing me and refreshing me during soccer orbasketball sports, which has freed me out of the lab work when I was tired.

I also want to thank my previous housemates, King Hwa Ling, Karma Wangdi, Winfield Jugo, Chencho Tsher-ing, Deki Choden, Sonam Phuntsho. We have shared our own meals and happiness, also encouraged each other.

Many people in many different place during my academic career inspired me and supported me. They are toomany to mention by name. I am deeply indebted to these people.

I would like to thank all the faculty in the Particulate Fluids Processing Centre and the School of Chemistry

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ACKNOWLEDGEMENTS

for their priceless help and support, and the University of Melbourne for my international scholarship (IPRS).Last but not least, a warm and special tribute is paid to my wife Jinghua Fang, my parents, my brother and

all my relatives for their continuing support and encouragement. They were and are a constant driving source andtheir support has been more than what I could ever expect. They have never expected anything in return.

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Contents

Title I

Abstract i

Acknowledgements v

Content viii

List of Figures xiv

List of Tables xx

List of Abbreviations xxii

Preface xxiii0.1 Publications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xxiii0.2 Presentations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xxiv0.3 Other Activities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xxv

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1 Introduction 11.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21.2 Objectives . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.3 Scope of This Work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5

2 Theory and Literature Review 72.1 Sonochemistry . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9

2.1.1 Wave Structure and Ultrasound . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92.1.2 Acoustic Cavitation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102.1.3 Hot Spot . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 202.1.4 Physical Effects of Ultrasound . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 232.1.5 Chemical Effects of Ultrasound . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 262.1.6 Applications of Ultrasound . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28

2.2 Sonochemical Synthesis of Inorganic Nanoparticles . . . . . . . . . . . . . . . . . . . . . . . . . 312.2.1 Synthesis of Metal Nanoparticles . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 352.2.2 Sonochemical Synthesis of Bimetallic Nanoparticles by Ultrasound . . . . . . . . . . . . 452.2.3 Synthesis of Metal Compound Nanoparticles by Ultrasound . . . . . . . . . . . . . . . . 46

2.3 Synthesis of Metal Nanoparticles by γ-Ray Irradiation . . . . . . . . . . . . . . . . . . . . . . . 472.4 Application of Sonophotocatalysis in Environmental Remediation . . . . . . . . . . . . . . . . . 53

2.4.1 Sonolysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 542.4.2 Photocatalysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 572.4.3 Sonophotocatalysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63

3 Experimental Details 673.1 Synthesis of Metallic/Bimetallic Nanoparticles . . . . . . . . . . . . . . . . . . . . . . . . . . . 68

3.1.1 Materials . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 683.1.2 Synthesis of Metallic/Bimetallic Nanoparticles . . . . . . . . . . . . . . . . . . . . . . . 68

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CONTENTS

3.1.3 Methods . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 713.2 Evaluation of Electrocatalytic Performance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72

3.2.1 Material . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 723.2.2 Electrode Preparation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 723.2.3 Cyclic Voltammetry . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73

3.3 Advanced Oxidation Process of Organic Pollutants . . . . . . . . . . . . . . . . . . . . . . . . . 753.3.1 Materials . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 753.3.2 Degradation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 763.3.3 Analytical Determinations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78

4 Sonochemical Synthesis of Precious Metal Nanoparticles 824.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 824.2 Synthesis of Platinum Nanoparticles . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 844.3 Synthesis of Ruthenium Nanoparticles . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87

4.3.1 Sonochemical Method . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 884.3.2 Chemical Method . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 934.3.3 Hybrid Method . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96

4.4 Sonochemical Synthesis of Platinum-Ruthenium Bimetallic Nanoparticles . . . . . . . . . . . . . 994.4.1 Simultaneous Method . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 994.4.2 Sequential Method . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1034.4.3 Stabilizer Dependence . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108

4.5 Supplemental Measurements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109

5 Application of PtRu Bimetallic Nanoparticles For A Fuel Cell 1125.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113

5.1.1 Platinum Electrocatalyst . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1145.1.2 Role of Ruthenium Particles . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116

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5.2 Fuel Cell Performance of Platinum Nanoparticles . . . . . . . . . . . . . . . . . . . . . . . . . . 1175.3 Chemical Synthesis Methods . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121

5.3.1 Sequential Reduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1225.3.2 Simultaneous Reduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122

5.4 Sonochemical Synthesis Methods . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1285.4.1 Simultaneous Reduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1285.4.2 Sequential Reduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129

5.5 Hybrid Synthesis Method . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1315.6 Radiolytic Synthesis Method . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 133

5.6.1 Sequential Reduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1345.6.2 Simultaneous Reduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 136

5.7 Comparison of Onset Potentials . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140

6 Sonophotocatalytic Degradation of Methyl Orange 1426.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1436.2 Orthogonal Array Experimental Design . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144

6.2.1 Experimental Design . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1446.2.2 Photocatalysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1456.2.3 Sonolysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1496.2.4 Sonophotocatalysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1536.2.5 Synergistic Effects . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 160

6.3 Products Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1626.3.1 UV-vis Spectral Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1626.3.2 Total Organic Carbon Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1646.3.3 High Performance Liquid Chromatographic Analysis . . . . . . . . . . . . . . . . . . . . 1666.3.4 Proposed Sonophotocatalytic Degradation Pathway . . . . . . . . . . . . . . . . . . . . . 1686.3.5 Degradation of Products . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 171

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7 Sonophotocatalytic Degradation of Aromatic Carboxylic Acids 1747.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1757.2 p-Chlorobenzoic Acid . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 176

7.2.1 UV-vis Spectra Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1777.2.2 High Performance Liquid Chromatographic Analysis . . . . . . . . . . . . . . . . . . . . 1797.2.3 Mass Spectrometry Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1817.2.4 Proposed Sonophotocatalytic Degradation Pathway . . . . . . . . . . . . . . . . . . . . . 1847.2.5 Degradation Kinetics and Synergistic Effects . . . . . . . . . . . . . . . . . . . . . . . . 1877.2.6 Changes of Synergistic Effect with Irradiation Time . . . . . . . . . . . . . . . . . . . . 194

7.3 p-Aminobenzoic Acid . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1967.3.1 The Influence of pH on Degradation Rate . . . . . . . . . . . . . . . . . . . . . . . . . . 1967.3.2 The Influence of pH on Product Selection . . . . . . . . . . . . . . . . . . . . . . . . . . 1977.3.3 Synergistic Effect . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 201

7.4 p-Hydroxybenzoic Acid . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2047.4.1 Effect of pH on Degradation Kinetics . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2047.4.2 High Performance Liquid Chromatographic Analysis . . . . . . . . . . . . . . . . . . . . 2067.4.3 Degradation of Products . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 209

8 Concluding Remarks 2118.1 PtRu Bimetallic Nanoparticles Synthesis and their Electrocatalytic Ability . . . . . . . . . . . . . 2128.2 Degradation of Organic Pollutants Using Combined Oxidation Techniques . . . . . . . . . . . . . 213

A Numerical Simulation of Bubble Motion 217A.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 217A.2 Referred Constants . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 218A.3 MatLab Code . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 218

Appendices 217

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B TiO2 Photocatalyst 222B.1 Crystal Types of TiO2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 222B.2 The Influence of TiO2 Particle Size on Its Bandgap . . . . . . . . . . . . . . . . . . . . . . . . . 224B.3 MatLab Code for Solving the Brus Equation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 226

C Application of Orthogonal Array Design in Methyl Orange Degradation 229C.1 Results of Orthogonal Array Experimental Design . . . . . . . . . . . . . . . . . . . . . . . . . . 230

C.1.1 Results of Sonolysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 231C.1.2 Results of Photocatalysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 232C.1.3 Results of Sonophotocatalysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 232

C.2 Orthogonal Array Analysis with MINITAB Statistical Software . . . . . . . . . . . . . . . . . . . 232C.2.1 Creating An Orthogonal Array Design . . . . . . . . . . . . . . . . . . . . . . . . . . . . 232C.2.2 Analyzing the Orthogonal Array Design . . . . . . . . . . . . . . . . . . . . . . . . . . . 233

Bibliography 242

Index 270

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List of Figures

1.1 Formation, growth and collapse of cavitation bubbles. . . . . . . . . . . . . . . . . . . . . . . . . 3

2.1 The Science of Acoustics: the cross and derivative branches of acoustics. . . . . . . . . . . . . . 82.2 Bubble Fate: possible processes that individual bubbles undergo in an ultrasonic field. . . . . . . . 112.3 The dynamic activity of an typical air bubble during cavitation. . . . . . . . . . . . . . . . . . . . 142.4 Rectified Diffusion: the radius of an typical air bubble in water as a function of time for rectified

diffusion cycles. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 152.5 Cavitation Bubble: the behavior of a single bubble in aqueous solution under influence of an

ultrasound irradiation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 162.6 Stable Cavitation: radius-time curves of an typical air bubble during stable cavitation. . . . . . . . 182.7 Transient Cavitation: radius-time curves of an typical air bubble during transient cavitation. . . . . 192.8 Effects of Bubble Collapse: pressure-time curves of a typical air collapse bubble. . . . . . . . . . 222.9 Effects of Bubble Collapse: temperature-time curves of a typical air collapse bubble. . . . . . . . 232.10 Microjet and Microstreaming: schematic diagrams showing the physical influence of cavitation

bubble on a solid surface through the formation of microjet and microstreaming. . . . . . . . . . . 252.11 The mechanism of surfactant stabilizing function. . . . . . . . . . . . . . . . . . . . . . . . . . . 332.12 Influence of gas atmosphere inside a collapse bubble. . . . . . . . . . . . . . . . . . . . . . . . . 34

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LIST OF FIGURES

2.13 Metal Nanoparticle Synthesis Procedure: the sonochemical formation of metal nanoparticles inthe presence of surfactant/alcohol. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36

2.14 UV-vis spectrum observed during the sonochemical synthesis of Au nanoparticles. . . . . . . . . 382.15 TEM images and crystal lattice of Au nanoparticles prepared by sonochemical reduction. . . . . . 402.16 TEM images and crystal lattice of Pd nanoparticles prepared by sonochemical reduction. . . . . . 422.17 TEM images and crystal lattice of Ag nanoparticles prepared by sonochemical reduction. . . . . . 442.18 The mechanism of metal ion reduction in aqueous solution by γ-ray irradiation. . . . . . . . . . . 482.19 The influence of a number of factors on sonolysis of organic pollutants. . . . . . . . . . . . . . . 552.20 Schematic photocatalytic processes of photon activated TiO2 semiconductor in environmental re-

mediation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 592.21 Factors influencing photocatalytic activities of semiconductor photocatalyst in the application of

environmental remediation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61

3.1 Equipment for the preparation of metallic nanoparticles. . . . . . . . . . . . . . . . . . . . . . . 693.2 Three-electrode cell test device. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 743.3 The equipment for sonophotocatalysis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 773.4 The procedure of H2O2 yield determination by absorption spectroscopy. . . . . . . . . . . . . . . 80

4.1 UV-vis spectra of Pt colloid observed during the sonochemical reduction. . . . . . . . . . . . . . 854.2 TEM image of Pt colloids prepared by sonochemical reduction. . . . . . . . . . . . . . . . . . . . 864.3 TEM image and crystal lattice of Pt nanoparticles prepared by sonochemical reduction. . . . . . . 874.4 UV-vis spectra and Ru(III) reduction rates observed during the sonochemical reduction. . . . . . . 894.5 TEM image and the corresponding size distribution histogram of Ru nanoparticles synthesized by

sonochemical reduction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 914.6 XPS survey scan of the ruthenium compound nanoparticles synthesized by sonochemical reduction. 924.7 TEM image of Ru colloid deoxidized by chemical methods. . . . . . . . . . . . . . . . . . . . . 944.8 XPS survey scan of the ruthenium compound nanoparticles synthesized by chemical reduction. . . 954.9 TEM image of Ru colloid prepared by hybrid method. . . . . . . . . . . . . . . . . . . . . . . . . 97

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LIST OF FIGURES

4.10 XPS survey scan of the ruthenium compound nanoparticles synthesized by hybrid method. . . . . 984.11 UV-vis spectra of PtRu bimetallic nanoparticles prepared by simultaneous sonochemical reduction. 1004.12 TEM image of PtRu bimetallic nanoparticles prepared by simultaneous sonochemical reduction. . 1024.13 UV-vis spectra of PtRu colloids prepared by sequential sonochemical reduction. . . . . . . . . . . 1044.14 XPS survey scan of PtRu colloids prepared by sequential sonochemical reduction. . . . . . . . . . 1054.15 TEM image and the size distribution of PtRu nanoparticles prepared by sequential sonochemical

reduction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1074.16 TEM images and formation mechanism of PtRu core-shell structure nanoparticles prepared by

sequential sonochemical reduction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1084.17 Influence of stabilizer on the sonochemical synthesis of PtRu bimetallic nanoparticles. . . . . . . 110

5.1 Schematic structure of a typical direct methanol fuel cell. . . . . . . . . . . . . . . . . . . . . . . 1145.2 A schematic diagram of the methanol oxidation process at the platinum anode of a direct methanol

fuel cell. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1155.3 CV of Pt nanoparticles synthesized by the sonochemical reduction. . . . . . . . . . . . . . . . . . 1185.4 The electrocatalytic performance of Pt nanoparticles synthesized by the sonochemical reduction. . 1205.5 CVs of PtRu nanoparticles synthesized by chemical sequential reduction. . . . . . . . . . . . . . 1235.6 CVs of PtRu nanoparticles synthesized by chemical simultaneous reduction. . . . . . . . . . . . . 1255.7 CVs of PtRu nanoparticles synthesized by the sequential sonochemical method. . . . . . . . . . . 1305.8 CVs of PtRu nanoparticles synthesized by the hybrid method. . . . . . . . . . . . . . . . . . . . . 1325.9 CVs of PtRu nanoparticles synthesized by the sequential radiolytic reduction. . . . . . . . . . . . 1355.10 CVs of PtRu nanoparticles synthesized by the simultaneous radiolytic reduction (centrifugation

extraction). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1375.11 CVs of PtRu nanoparticles synthesized by the simultaneous radiolytic reduction (oven drying

extraction). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 139

6.1 pH Indicator: the mechanism of pH indicating ability of methyl orange and changes of UV-visspectra with pH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143

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LIST OF FIGURES

6.2 Photocatalytic degradation process optimization during oxidation of 100 µM methyl orange inaqueous solution. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147

6.3 Sonochemical degradation process optimization during oxidation of 100 µM methyl orange inaqueous solution. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 150

6.4 Influence of ultrasonic power on bubble radius ratio and temperature. . . . . . . . . . . . . . . . . 1526.5 The influence of pH on the sonochemical degradation of methyl orange. . . . . . . . . . . . . . . 1546.6 The influence of the presence of TiO2 on the sonochemical degradation of methyl orange. . . . . . 1556.7 Sonophotocatalytic degradation process optimization during oxidation of 100 µM methyl orange. . 1566.8 Influence of ultrasonic frequency on the relative sonoluminescence intensity. . . . . . . . . . . . . 1596.9 UV-vis spectra observed during the photolytic, sonochemical, photocatalytic and sonophotocat-

alytic degradation of 96 µM methyl orange at pH 7. . . . . . . . . . . . . . . . . . . . . . . . . . 1636.10 Changes of TOC observed as a function of irradiation time during the sonochemical, photocat-

alytic and sonophotocatalytic degradation of methyl orange at pH 2. . . . . . . . . . . . . . . . . 1656.11 HPLC observed during sonolytic, photocatalytic and sonophotocatalytic degradation of methyl

orange at pH 2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1676.12 UV-vis spectra of the products generated during the sonolytic, photocatalytic and sonophotocat-

alytic degradation of methyl orange at pH 2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1696.13 Proposed Degradation Pathway: schematic illustration of the sonophotocatalytic events may take

place during the degradation of methyl orange. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1706.14 The concentration changes of Product D and Product G during sonophotocatalytic degradation of

methyl orange at pH 2 and pH 10. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 172

7.1 Influence of pH on UV-vis spectra of p-chlorobenzoic acid. . . . . . . . . . . . . . . . . . . . . . 1767.2 Influence of pH on UV-vis spectra of p-aminobenzoic acid. . . . . . . . . . . . . . . . . . . . . . 1777.3 Influence of pH on UV-vis spectra of p-hydroxybenzoic acid. . . . . . . . . . . . . . . . . . . . . 1787.4 UV-vis spectra changes observed during sonophotocatalytic degradation of p-chlorobenzoic acid

at pH 2 and pH 10. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179

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LIST OF FIGURES

7.5 HPLC observed during the sonophotocatalytic degradation of an aqueous solution of p-chlorobenzoicacid at pH 2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 181

7.6 HPLC observed during the sonophotocatalytic degradation of an aqueous solution of p-chlorobenzoicacid at pH 10. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182

7.7 Mass spectrometry changes observed during sonophotocatalytic degradation of p-chlorobenzoicacid at pH 2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183

7.8 Proposed degradation pathway: schematic illustration of the sonophotocatalytic events that maytake place during the degradation of p-chlorobenzoic acid. . . . . . . . . . . . . . . . . . . . . . 186

7.9 The pseudo-first order kinetics curves observed during the sonophotocatalytic degradation of p-chlorobenzoic acid at pH 2 and pH 10. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 188

7.10 Kinetics analysis of products degradation during the degradation of p-chlorobenzoic acid at pH 2and pH 10. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 192

7.11 Synergistic effect index as a function of degradation time during the sonophotocatalytic degrada-tion of p-chlorobenzoic acid at pH 2 and pH 10. . . . . . . . . . . . . . . . . . . . . . . . . . . . 195

7.12 The pseudo-first order kinetics curves observed during the sonolytic, photocatalytic and sonopho-tocatalytic degradation of p-aminobenzoic acid at pH 2 and pH 12. . . . . . . . . . . . . . . . . . 197

7.13 Mass spectra changes observed during the sonophotocatalytic degradation of p-aminobenzoic acid. 1987.14 HPLC observed during the sonophotocatalytic degradation of p-aminobenzoic acid at pH 2 and

pH 12. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2007.15 Kinetics analysis of products degradation during sonolytic, photocatalytic and sonophotocatalytic

degradation of p-aminobenzoic acid at pH 2 and pH 12. . . . . . . . . . . . . . . . . . . . . . . . 2037.16 The pseudo-first order kinetics curves observed during the sonolytic, photocatalytic and sonopho-

tocatalytic degradation of p-hydroxybenzoic acid at pH 2, pH 6, pH 9 and pH 12. . . . . . . . . . 2057.17 HPLC observed during the sonophotocatalytic degradation of an aqueous solution of p-hydroxybenzoic

acid at pH 2, pH 6, pH 9 and pH 12. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2087.18 Product degradation analysis during the sonolysis, photocatalysis and sonophotocatalysis of p-

hydroxybenzoic acid at pH 2, pH 6, pH 9 and pH 12. . . . . . . . . . . . . . . . . . . . . . . . . 210

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LIST OF FIGURES

B.1 Structure of anatase crystal. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 223B.2 Structure of rutile crystal. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 224B.3 The quantum size effect of nanometer sized titanium dioxide. . . . . . . . . . . . . . . . . . . . . 226

C.1 Create a L16(44) orthogonal array. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 233C.2 Input four factors and their corresponding four levels. . . . . . . . . . . . . . . . . . . . . . . . . 234C.3 Run 16 experiments and input first-order rate constants for each sonophotocatalysis experiment. . 235C.4 Analyze the results of L16(44) orthogonal array experiment design. . . . . . . . . . . . . . . . . . 239C.5 Set the first-order rate constants of sonophotocatalysis as response data. . . . . . . . . . . . . . . 240C.6 Automatically calculate the results. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 241

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List of Tables

2.1 Recent reports on the sonochemical synthesis of metal nanoparticles in aqueous solution. . . . . . 372.2 Recent reports on sonochemical synthesis of metal nanoparticles in organic media. . . . . . . . . 45

3.1 Four organic pollutants using in advanced oxidation processes and their physical and chemicalproperties. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75

3.2 The parameters of high performance liquid chromatography used during analysis of organic pol-lutant degradation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79

5.1 The influence of synthesis methods, the initial concentration ratios of platinum to ruthenium ionsand the extraction methods on the methanol oxidation onset potentials of PtRu bimetallic nanopar-ticles. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140

6.1 The factors and levels of the L16(44) orthogonal array during sonolysis, photocatalysis and sonopho-tocatalysis of methyl orange. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145

6.2 Experimental matrix: the L16(44) orthogonal array design. . . . . . . . . . . . . . . . . . . . . . 1466.3 Synergism on orthogonal array design during the sonophotocatalytic degradation of 100 µM

methyl orange. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161

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LIST OF TABLES

7.1 Identification of high performance liquid chromatographic products during sonophotocatalyticdegradation of p-chlorobenzoic acid. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185

7.2 The pseudo first-order rate constants of sonolysis, photocatalysis and sonophotocatalysis of 100µM p-chlorobenzoic acid in aqueous solution at pH 2 and pH 10. . . . . . . . . . . . . . . . . . . 189

7.3 The calculated rate constants and synergistic effect indices during sonolytic, photocatalytic andsonophotocatalytic degradation of p-chlorobenzoic acid at pH 2 and pH 10. . . . . . . . . . . . . 194

7.4 Influence of pH and advanced oxidation process on product selection during sonolytic, photocat-alytic and sonophotocatalytic degradation of p-aminobenzoic acid in aqueous solution. . . . . . . 199

7.5 Identification of high performance liquid chromatographic products during sonophotocatalyticdegradation of p-aminobenzoic acid. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 201

7.6 The pseudo first-order rate constants of sonolysis, photocatalysis and sonophotocatalysis of p-aminobenzoic acid at pH 2 and pH 12. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 204

7.7 The calculated rate constants and synergistic effect index during sonolytic, photocatalytic andsonophotocatalytic degradation of p-hydroxybenzoic acid at pH 2, pH 6, pH 9 and pH 12. . . . . . 207

A.1 The reference constants (25°C) used in the numerical simulation. . . . . . . . . . . . . . . . . . . 218

B.1 Crystal structure data of the three crystal modifications of TiO2. . . . . . . . . . . . . . . . . . . 225

C.1 The first-order rate constants and synergism of 60 min sonolysis, photocatalysis and sonophoto-catalysis of 100 µM methyl orange in 16 orthogonal array experimental runs. . . . . . . . . . . . 230

C.2 The results of orthogonal array design analysis for 60 min sonolysis of 100 µM methyl orange. . . 236C.3 The results of orthogonal array design analysis for 60 min photocatalysis of 100 µM methyl orange.237C.4 The results of orthogonal array design analysis for 60 min sonophotocatalysis of 100 µM methyl

orange. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 238

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List of Abbreviations

CV Cyclic Voltammetry Q-TOF Quadrupole Time-of-FlightDMFC Direct Methanol Fuel Cell rpm revolution per minuteECSA Electrochemical Active Surface Area S SonolysisEDX Energy Dispersive X-ray SCE Standard Saturated Calomel ElectrodeMS Mass Spectrometry SDS Sodium Dodecyl Sulphatemin minutes SEM Scanning Electron MicroscopyPABA para-Amonobenzoic acid SHE Standard Hydrogen ElectrodePC Photocatalysis SPC SonophotocatalysisPCBA para-Chlorobenzoic acid STEM Scanning Transmission Electron MicroscopyPHBA para-Hydroxybenzoic acid TEM Transmission Electron MicroscopyPMT Photomultiplier Tube TOC Total Organic CarbonPSS Poly(Sodium 4-Styrenesulfonate) XPS X-ray Photoelectron SpectroscopyPVP polyvinyl-2-pyrrolidone XRD X-ray Diffraction

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Preface

Section 0.1Publications

Yuanhua HE, Muthupandian Ashokkumar and Franz Grieser, Preparation, Sonophotocatalytic Degradationof Methyl Orange in Aqueous Solution;

Yuanhua HE, Muthupandian Ashokkumar and Franz Grieser, Preparation, Kinetics and Mechanism for theSonophotocatalytic Degradation of p-Chlorobenzoic Acid;

Yuanhua HE, Kizhanipuram Vinodgopal, Muthupandian Ashokkumar and Franz Grieser, Research on Chem-ical Intermediates, 32(8), 709-715, 2006, Sonochemical Synthesis of Ruthenium Nanoparticles;

Kizhanipuram Vinodgopal, Yuanhua HE, Muthupandian Ashokkumar and Franz Grieser, Journal of Phys-ical Chemistry B, 110(9), 3849-3852, 2006, Sonochemically Prepared Platinum-Ruthenium BimetallicNanoparticles;

Weilin Guo, Yuanhua HE, Muthupandian Ashokkumar and Franz Grieser, Materials Research Innovations,12(1), 52-54, 2008, Sonochemical Synthesis of Single Crystal Pd Nanoparticles in Aqueous Solution;

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0.2. PRESENTATIONS

Section 0.2Presentations

Yuanhua HE, Muthupandian Ashokkumar and Franz Grieser, International Workshop on Sonochemistryand Photocatalysis for Environmental Remediation, Oral Presentation, November 26-28, 2008, Universityof Melbourne, Parkville , Melbourne, Australian, Sonophotocatalytic Degradation of p-chlorobenzoic acidin Aqueous Solution;

Yuanhua HE, Muthupandian Ashokkumar and Franz Grieser, 26th Australian Colloid & Surface ScienceStudent Conference, Oral Presentation, February 4-8, 2008, Warrnambool, Victoria, Australian, Sonophoto-catalytic Degradation of Methyl Orange in Aqueous Solution;

Yuanhua HE, Muthupandian Ashokkumar and Franz Grieser, Victorian Chinese PhD Students and ScholarsResearch Seminar 2007, Poster Presentation, November 23, 2007, RMIT University, Melbourne, Australian,Sonophotocatalytic Degradation of Methyl Orange in Aqueous Solution;

Yuanhua HE, Muthupandian Ashokkumar and Franz Grieser, International Workshop on Applied Sono-chemistry, Oral Presentation, September 17-19, 2007, Melbourne Zoo, Parkville , Melbourne, Australian,Sonophotocatalytic Degradation of Methyl Orange in Aqueous Solution;

Yuanhua HE, Muthupandian Ashokkumar and Franz Grieser, XIII International Symposium on Relationsbetween Homogeneous and Heterogeneous Catalysis∗, Poster Presentation, July 16-20, 2007, The Uni-versity of California, Berkeley , California, USA, Sonophotocatalytic Degradation of Methyl Orange inAqueous Solution;

Yuanhua HE, Kizhanipuram Vinodgopal, Muthupandian Ashokkumar and Franz Grieser, PFPC Advisory

∗Supported by University of Melbourne Postgraduate Overseas Research Experience Scholarship (PORES).

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0.3. OTHER ACTIVITIES

Board Meeting–Poster Presentations, Poster Presentation, August 16, 2006, University of Melbourne, Vic-toria, Australian, Sonochemical Synthesis of Platinum-Ruthenium Composite Nanoparticles;

Yuanhua HE, Kizhanipuram Vinodgopal, Muthupandian Ashokkumar and Franz Grieser, RADIATION2006 of Australian Institute of Nuclear Science & Engineering, Oral Presentation, April 20-21, 2006, theUniversity of Sydney, NSW, Australian, Sonochemical Synthesis of Pt-Ru Composite Nanoparticles;

Yuanhua HE, Kizhanipuram Vinodgopal, Muthupandian Ashokkumar and Franz Grieser, 25th AustralianColloid & Surface Science Student Conference, Poster Presentation, February 6-10, 2006, Beechworth,Victoria, Australian, Sonochemical Synthesis of Platinum-Ruthenium Composite Nanoparticles;

Yuanhua HE, Kizhanipuram Vinodgopal, Muthupandian Ashokkumar and Franz Grieser, 8th Japan-Australia Colloid and Interface Science Gakkai, November 27-30, 2005, Crowne Plaza Hotel, Terrigal,NSW, Australia, Sonochemical Synthesis of Metal Nano-colloids for Fuel Cell Catalysts;

Section 0.3Other Activities

Overseas Research in Radiation Laboratory∗, the University of Notre Dame, April 28-July 28, 2007.

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Life was like a box of chocolates you never know what you’regonna get.

Forrest Gump

Life was like a tiny bubble you never know what you’re gonnaget. Is stable or transient cavitation when you switch on thesonicator?

XH

1Introduction

Ultrasound is simply defined as sound pitched above the upper threshold of human hearing and the fieldof sonochemistry embodies the diverse and ever growing range of ultrasonic applications in variousindustries and research disciplines. Much of the usefulness of ultrasound stems from its chemicaleffects, such as formation of free radicals to accelerate or alter chemical reactions. Cavitation is the

origin of the sonochemical effect and therefore acts as an essential bridge between ultrasound and chemistry ora bridge between the physical pressure variation of the sound wave and the chemical effects. However, asidefrom the chemical effects, cavitation can also induce physical effects, such as micro-streaming, micro-jetting,turbulence, etc.

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1.1. INTRODUCTION

Section 1.1Introduction

Acoustic cavitation occurs when sound waves pass through a liquid medium containing micrometer or submi-crometer sized gas nuclei. This energy propagation introduces a vibrational motion to the molecular structure ofthe medium and consequently to the existing gas nuclei. These gas bubbles will alternately expand and compressunder the mechanical influence of the sound wave. As the amount of material entering the bubble during theexpansion half cycle is more than that expelled during the compression cycle, these microbubbles grow over manyacoustic cycles and finally reach a critical size at which a resonance condition is met. These critical sized bubblesbecome extremely unstable and grow to a maximum size, where they finally violently collapse. A summary ofthese stages is depicted in Figure 1.1.

When the bubble collapse occurs, extremely high pressures and temperatures are generated inside the bubbleleading to the formation of highly active H• and OH• radicals, which play critical roles in the chemical effects ofultrasound. At the same time, the physical effects of cavitation (e.g., micro-streaming, micro-jetting shockwave,and turbulence) may also contribute to the enhancement of the chemical efficiency.

Due to its unique chemical and physical effects, acoustic cavitation has been applied to a number of areas,including: therapeutic applications, contrast imaging, electrochemistry, the production of nanoemulsions, foodtechnology, nanomaterials synthesis, materials extraction, phase separation, surface cleaning and waste-watertreatment. Mason summarized three strands in ultrasonics research [1]:

Sonochemistry with its origins in chemistry and physics: this includes synthesis, catalysis and fundamentalstudies of cavitation involving mainly academia;

Power ultrasound with its origins in engineering and processing: this includes cleaning, welding and mate-rials processing involving mainly industry;

Diagnostic ultrasound involving non-destructive testing and medical scanning: this attracts major interest inboth academia and industry.

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1.1. INTRODUCTION

Sound Pressure

Compression Waves

Cavitation

Compression Compression Compression

Formation Growth

0

Collapse

+

-

Figure 1.1: Formation, growth and collapse of cavitation bubbles.

There is little doubt that the future for sonochemistry is promising, either from the point of view of greaterinterest in the fundamental principles of its action, or in the potential industrial and technological applications.

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1.2. OBJECTIVES

Section 1.2Objectives

Striding into this new era of science and technology, we have to confront the difficulties of the growing energycrisis and environmental pollution. The objectives of this thesis are: to fabricate high performance electrocat-alysts for applications in fuel cells and to develop appropriate advanced oxidation processes for environmentalremediation.

Direct methanol fuel cells (DMFCs) can be potentially used as a power source in cameras, notebook com-puters, and other portable electronic devices. The efficiency of the DMFC is significantly affected by the metalcatalytic particles used in the electrodes. The use of platinum/ruthenium bimetallic alloy particles has been foundto produce maximum cell efficiencies. The use of conventional preparation techniques for Pt/Ru alloys often doesnot provide adequate and effective control of particle size and usually involves the use undesirable chemicals. Ul-trasonic irradiation of aqueous solutions containing precious metal ions is an effective method for the preparationof nanometer sized metal colloids.

The first aim of this work is to systematically study the sonochemical synthesis of bimetallic nanoparticles.These particles are expected to possess a higher electrocatalytic activity in the application of fuel cells. In addition,the fundamental mechanism of acoustic cavitation and its associated physical and chemical effects are explained.

Because of the low efficiency of photo-oxidation or sono-oxidation techniques when used individually, manyresearchers have shown interest in exploring the synergistic effects of combining the photo- and sono-processes.However, the combined use of photocatalysis and ultrasonics for the treatment of pollutants is rather limited,mostly due to the lack of a detailed mechanism for this process. Most publications in this field deal with thekinetics of the degradation of a limited range of pollutants as a function of operating conditions. In addition,relatively little is known about the reaction by-products and pathways associated sonophotocatalytic treatments.

The second aim of this work is to develop an appropriate method for combining heterogeneous photocatalysisusing different frequencies ultrasound in order to oxidize various organic pollutants in aqueous solutions. This newmethodology (sonophotocatalysis) is expected to produce a better oxidation process and improve the efficiencyof environmental remediation processes when compared to the component methods. In addition, heterogeneous

YUANHUA HE - 4- PHD THESIS

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1.3. SCOPE OF THIS WORK

sonophotocatalysis at the nano-scale is a novel and multi-disciplinary research field involving physical chemistry,photochemistry, sonochemistry, catalytic chemistry, biochemistry, material science and other associated subjectsand techniques. Emphasis given to sonophotocatalytic reactions will contribute to the progress of this techniqueto these other disciplines. At the same time, the results will allow us to establish a research framework to evaluatethe specific system of advanced oxidation process.

Above all, sonophotocatalysis might have potential in large-scale practical applications, resulting in improvingliving conditions through the minimization of environmental impact from waste which poses a serious risk tohuman health.

Section 1.3Scope of This Work

Like the water molecule itself under the influence of ultrasonic irradiation, this research can be divided into twomajor parts involving the two types of highly reactive radicals, i.e., reducing H• and oxidizing OH•.

H2O ))))

Synthesis of Nanoparticles(Chapter 4)

Environmental Remediation(Chapters 6 and 7)

H•

OH•

Application in Fuel Cell(Chapter 5)

This work is intended to introduce two new and important applications of ultrasound. The first is the sonochem-ical synthesis of nanoparticles and the second is environmental remediation using advanced oxidation processes.

This thesis continues, in Chapter 2, with an overview of the fundamentals of sonochemistry and its various ap-plications. A mathematical model based on the Rayleigh-Plesset Equation was used to describe the behavior of asingle bubble in an acoustic field and explain the fundamentals of the chemical and physical effects of sonochem-istry. The second half of this chapter concentrates on the two most important practical applications of ultrasound:(i)fabrication of nanoparticles and (ii)sonophotocatalysis for environmental remediation.

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1.3. SCOPE OF THIS WORK

In Chapter 3, the experimental procedure followed have been summarized. A number of advanced analyticaltechniques, such as: transmission electron microscopy, X-ray photoelectron spectroscopy and high performanceliquid chromatography, were employed to monitor the sonochemical reaction processes and to characterize theproducts generated from these processes.

Chapter 4 describes the sonochemical synthesis of monometallic and bimetallic nanoparticles. The formationof bimetallic nanoparticles with different structures was achieved by using various methods. The formation ofcore-shell structured platinum-ruthenium nanoparticles demonstrates that Pt(0) nanoparticles act as a catalyst toaccelerate the reduction of Ru(III) to Ru(0) particles.

Chapter 5 describes the promising ability of platinum-ruthenium bimetallic nanoparticles and their electrocat-alytic properties, when synthesized by chemical, radiolytic and sonochemical methods. Despite a considerableamount of research, the nature of the active surface sites for the methanol electro-oxidation reaction is still anoutstanding issue that needs to be addressed. Electro-oxidation of methanol on the surface of PtRu electrodes withvarious degrees of Ru coverage, and different preparation methods have been carried out in an attempt to establishhow the synthetic method influences the electro-oxidation current.

Chapter 6 introduces ultrasound to assist in the photocatalytic degradation of methyl orange. The orthogo-nal array method was adopted to establish the correlation between operation parameters and the performance ofsonolysis, photocatalysis and sonophotocatalysis, focusing on the synergistic effects in the combined system. Theresults of the products analysis demonstrate that sonophotocatalysis is a superior oxidation process for environ-mental remediation compared to either of the component.

Chapter 7 describes the sonophotocatalytic degradation processes of three aromatic carboxylic acids. A math-ematical model was set up to evaluate the synergistic effects during the sonophotocatalytic degradation. A keyobservation has been the discovery of synergistic effects of the combined oxidation system on the reduction ofthe degradation products. The analysis of oxidation products produced during the sonophotocatalysis of parentorganic pollutants demonstrates that the control of pH and the selection of oxidation process are able to controlthe direction of the whole degradation process.

The thesis finishes in Chapter 8 with conclusions in fulfilment of the objectives.

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I have been but as a child playing on the seashore, now findingsome prettier pebble or more beautiful shell than my companions,while the unbounded ocean of truth lay undiscovered before me.

Sir Isaac Newton

2Theory and Literature Review

Sound, a form of energy propagation in elastic media, has been employed as a tool for decades with variedsuccess. This surprising simple mechanical disturbance in a state of equilibrium is able to bring severaldisciplines to the science world: acoustics for sound generation, propagation and detection; mechanicsfor vibration and wave motion; phonetics for mechanisms of sound production and reception; music for

musical sounds . . . . . .Bruce Lindsay presented a chart in his benchmark book [2] which summarized the diversified character of

acoustic science. Acoustics is not simply a vibrating motion, but a wide-ranging discipline sharing frontiers withother subjects from science, technology and arts. Based on the center of fundamental physical acoustics, thisdiscipline covers almost all branches of science and technology, and even arts (shown in Figure 2.1).

- 7-

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Oceanography Electrical and Mechanical Architectural Visual M

usic Speech Psychology Physiology

M

edic

ine

P

hysi

cs o

f Ear

th an

d

Chemical Arts

At

mos

pher

e

Engineering Arts Life Science

s

E

arth

Sciences

Fundamental Physical Acoustics

Mechanical Radiation in all Ma-

terial Media Phonons

Comm

unication

Underw

ater

Sound

Musical Scales

and Instruments

Room and Theatre

Acoustics

Shock and

Vibration

Noise

Elec

troa

cous

tics

Soni

c an

d U

ltras

onic

En

gine

erin

g

Hea

ring

Bioacoustics

Seismic Waves Sound in the

Atmosphere

PsychoacousticsFigure 2.1: The Science of Acoustics: the cross and derivative branches of acoustics. (Adapted from refer-

ence [2].)

The contents provided here are concerned with a fundamental understanding of acoustic cavitation and itsassociated physical and chemical effects. Among the significant and useful applications of ultrasound, the ma-jority of the discussion is focused on two prominent research areas: synthesis of nanoparticles and environmentalremediation.

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2.1. SONOCHEMISTRY

Section 2.1Sonochemistry

2.1.1. Wave Structure and Ultrasound

The term ultrasound is generally used to refer to the sound waves above the frequency that can be detected by thehuman ear, which in reality terms is above a frequency of about 18 kHz.

There are two basic types of waves, transverse and longitudinal, differentiated by the way in which the waveis propagated. Sound propagates through air or other mediums as a longitudinal wave, in which the mechanicalvibration constituting the wave occurs along the direction of propagation of the wave. Sound moving through themedium also compresses and rarefies the medium in the direction of travel of the sound wave as it vibrates backand forth. Normally, the wave structure is characterized by its wavelength, period, amplitude and wave velocity.The following equations (Equation 2.1 and 2.2 ) demonstrate the relationships between them.

c = λν (2.1)

ν =1

T(2.2)

Here, c is the speed of a wave in m/s; λ represents the wavelength of the sound and it is usually measured inmetres; Period, a certain time which one full wavelength takes to pass a specific point in space, is represented byT , measured in fractions of a second. The frequency (ν) of the sound wave is the number of wavelengthes passingper second which is traditionally measured in hertz and it has an inverse relationship with the period.

A standing wave is the combination of two waves moving in opposite directions, each having the same ampli-tude and frequency. When waves are superimposed, their energies are either added together or canceled out. Thepoints having the greatest amplitude are signified as antinodes and the points at zero energy are called nodes. Thestanding wave is the critical condition of the phenomenon of acoustic levitation [3], which is the popular observa-tion platform of a single bubble. Under appropriate conditions, the buoyancy force of a bubble can be canceled bythe acoustic force. This permits examination of the dynamic characteristics of the bubble in considerable detail.

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2.1. SONOCHEMISTRY

2.1.2. Acoustic Cavitation

The origin of sonochemical effects in liquids is the phenomenon of acoustic cavitation. The term cavitation(Figure 1.1) refers to the growth and violent collapse of pre-existing microbubbles in a liquid medium and theconsequences of these physical perturbations. The first report on cavitation was published in 1895 by Thornycroftand Barnaby when they found that this was the reason why the propeller blades of a submarine were easily pittedand eroded. In 1917, Lord Rayleigh described a mathematical model of cavitation in an incompressible fluid in hisgreat book The Theory of Sound. After the discovery of the chemical and biological effects of ultrasound [4–6],the key activity, cavitation, draws a number of considerable scientific interest [7–9].

Ultrasound passes through a liquid medium by inducing vibrational motion of the molecular structure of themedium due to the varying pressure. If the intensity of ultrasound is sufficient to overcome the tensile strengthof the medium, a point is reached at which the intramolecular forces are not able to hold the molecular structureintact. This breaking point at weak spots leads to the formation of a cavity. The energy required to create a cavityor void is enormous. However, due to the fact that gas bubbles, solid impurities are inherently present in liquidsand become the adventitious nuclei for cavitation, practical acoustic cavitation occurs at far lower sound pressuresthan that is required for void creation [3, 10].

Due to the different origins of cavitation bubbles, several types may be present at the same time in the soundfield: empty cavities, gas-filled cavities, vapor-filled cavities or mixtures of gas and vapor. The relative proportionsdepend on the applied sound pressure, static pressure, temperature, the property of the liquid medium and so on.Figure 2.2∗ is a summary of the possible fates of bubbles in an aqueous solution under ultrasound irradiation. Theprocesses can be distinguished into four main basic types: stable cavitation, rectified diffusion/coalescence, bubbledissolving and transient cavitation. Normally, the bubbles whose sizes are under a certain pressure threshold radiusdissolve in the medium and disappear. In the absence of the acoustic field, a bubble in water will gradually dissolvedue to the surface tension pressure. On exposure to the applied ultrasonic driving sound, the existing bubbles willundergo different fates. The very small bubbles will still dissolve, but some larger bubbles, whose size is beyond a

∗Note: The spatial distribution of bubbles here is not a representation of that in an ultrasonic field but just a simply illustration of thefate of bubbles.

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2.1. SONOCHEMISTRY

Dissolution Dissolution

Collapse

Microjet

Sonoluminescence

Resonance Size

Bubble Nuclei

Fragmentation

Coalescence

Buoyancy

Rect

ied

Di

usio

n

Buoyancy

Figure 2.2: Bubble fate: possible processes that individual bubbles undergo in an ultrasonic field (modified fromreference [11, 12]).

certain threshold radius will exist stably in the sound field. Apfel [13] adopted the threshold formulations to plot adiagrammatic representations of cavitation regimes. For each independent frequency, the thresholds are coherentlyrelated to the equilibrium bubble radius and the acoustic pressure amplitudes. In 1988, Church [14] examined thethresholds for these various processes by time-average numerical calculations. All their results indicate that thefate of a bubble in liquid is different depending on its radius and the driven time-varying pressure. It is the activebubbles which take part in collapse that will be the focus of the following paragraphs.

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2.1. SONOCHEMISTRY

2.1.2.1. Bubble Dynamics

The oscillations of a gas bubble driven in an acoustic field are generally described by the Rayleigh-Plesset Equa-tion [15–17], which is expressed by a second-order nonlinear differential equation:

RR +3

2R2 =

1

ρ[(P0 +

R0

− Pv)(R0

R)3κ + Pv −

R− 4ηR

R− P0 − P (t)] (2.3)

where R is the velocity of the cavity wall; R is the acceleration of the cavity wall; ρ is the mass density of theliquid which is assumed to be incompressible; P0 is the static pressure in the liquid outside the bubble; R0 is theradius of the bubble at its equilibrium position; σ is the surface tension of the liquid; η is the viscosity of the liquid;Pv is the vapor pressure; P (t) is the applied acoustic pressure and κ is the so-called polytropic index of the gas.This term is not a fundamental quantity, but takes an intermediate value between γ (the ratio of the specific heatof the gas at constant pressure to that at constant volume) and unity. The Rayleigh-Plesset Equation describes theresponse of a spherical bubble to a time-varying pressure field in an incompressible liquid. It also indicates thatthe motion of the bubble under an acoustic field is nonlinear. Obviously, the damping of the bubble dynamics bythe sound field is not considered in this famous equation.

A simple damping model of uniform van der Waals gas without heat and mass exchange gives Rayleigh-PlessetEquation another form [18–22]:

RR +3

2R2 =

1

ρ[(Pg − P0 − P (t)− 2σ

R− 4ηR

R+

R

c0

(Pg + Pa)] (2.4)

where, Pg = (P0 +2σ

R0

)(R3

0 − a3)κ

(R3 − a3)κ(2.5)

the corresponding temperature T =T0(R

30 − a3)κ−1

(R3 − a3)κ−1(2.6)

The left side of the Equation 2.4 indicates the inertia of the accelerating bubble in response to the different pres-sures inside and outside the bubble. The right side represents this net force on the bubble. Here, Pg is the pressure

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2.1. SONOCHEMISTRY

of the gas inside the bubble. The collapse is stopped when the gas inside the bubble is compressed to its vander Waals hard-core radius a. Although this special form of Rayleigh-Plesset Equation (Equation 2.4) has beenpractically validated by a number of light scattering experiments [18, 19, 23–25], one obvious problem is that anadiabatic bubble motion is assumed with no heat exchanged between the bubble and exterior.

The characteristic form of the forcing pressure, bubble radius and bubble wall velocity is clearly shown inFigure 2.3∗. A 5 µm air bubble gradually grows under the periodic driving pressure of 20 kHz and 1.3 atm toapproach its maximum size about 45 µm. Sequentially, the bubble rapidly collapses to its van der Waals hard-corein very short time. The velocity of the interface of the bubble during the collapse is about 2880 m/s, which isbeyond the speed of sound in water (1497.4 m/s [26]).

Appendix A contains a numerical simulation to the Rayleigh-Plesset Equation with consideration of the damp-ing effect (i.e., Equation 2.4). This programme has the capacity to plot bubble radius-time curves for various valuesof the driving pressure and initial bubble size under different ultrasound frequencies.

2.1.2.2. Rectified Diffusion

When ultrasound passes through a liquid medium, the existing gas nuclei will alternately expand and compressunder the mechanical influence of sound wave. The dominant and important pathway for the adventitious bubblesgrowth is a process called rectified diffusion. This process was first discovered in 1944 [27]. Rectified diffusionprovides bubbles in gassy liquids a bridge to achieve the critical collapse condition which plays a key role incavitation.

Figure 2.4 shows a theoretical model solution to Equation 2.4, indicating the radius of a typical air bubble as afunction of time during the rectified diffusion process. Although the adventitious bubble goes through alternativeexpansion and compression, it generally increases after each cycle of the ultrasonic pressure force or sound wave.

The reason for the bubble growth during the rectified diffusion process is a result of unequal mass transfer

∗See the gas pressure, gas temperature and radiation spectrum for the same values of the parameters in Figure 2.8, Figure 2.9 andFigure 2.12.

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2.1. SONOCHEMISTRY

20 30 40 50 60 70 80

−1

−0.5

0

0.5

1

Time (µs)

Pre

ssur

e (a

tm)

20 30 40 50 60 70 80

10

20

30

40

Time (µs)

(a) The time-varying pressure.

20 30 40 50 60 70 800

10

20

30

40

Time (µs)

Rad

ius

(µm

)

20 30 40 50 60 70 80−3000

−2000

−1000

0

Time (µs)

Vel

ocity

(m

/s)

(b) The changing radius of an air bubble during cavitation.20 30 40 50 60 70 800

10

20

30

40

Time (µs)

Rad

ius

(µm

)

20 30 40 50 60 70 80−3000

−2000

−1000

0

Time (µs)

Vel

ocity

(m

/s)

(c) The velocity of the bubble wall during cavitation as afunction of time.

Figure 2.3: Bubble in Cavitation: radius-time curves of an typical air bubble whose initial radius is 5µm under 20kHz and 1.3 atm ultrasonic field during stable cavitation. The radius-time curve is a solution to theRayleigh-Plesset Equation with damping effect.

YUANHUA HE - 14- PHD THESIS

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2.1. SONOCHEMISTRY

5 10 15 20 25 30 35 400

1

2

3

4

Rad

ius

Rat

io

Time (µs)5 10 15 20 25 30 35 40

−2

−1

0

1

2

Pre

ssur

e (a

tm)

Figure 2.4: Rectified Diffusion: the radius of an typical air bubble in water as a function of time for rectifieddiffusion cycles. The dotted line is the driving sound amplitude. The solid line is a solution to theRayleigh-Plesset Equation for Pa=1.4 atm, f=213 kHz, R0=8.43 µm. In responds to the rectifieddiffusion process, the bubble grows gradually under each cycle of driving pressure.

during the bubble oscillation. During the negative pressure half cycle as the bubble expands, the net force of thepressure inside and outside the bubble creates a relative vacuum which allows the dissolved gas, solvent moleculesand other volatile solutes existing in the liquid medium to enter into the bubble (see Figure 2.5a). During thefollowing positive pressure half cycle of the sound wave, the bubble is compressed and its contents forced toexpel into the surrounding liquid media (see Figure 2.5b). The diffusion of the gas out of the bubble is restrictedby the smaller exchange surface. The amount of material that enters the bubble during the expansion half cycle

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2.1. SONOCHEMISTRY

is greater than that expelled during the compression cycle. At the same time, due to the changing thickness ofthe liquid shell, concentration gradients during the rarefaction phase are higher than that during the compressionphase. This shell-effect can enhance the area effect to accelerate the uneven mass transfer during the rarefactionand compression cycles [28, 29]. Over a few or hundreds or thousands of acoustic cycles [30, 31], a bubble willgradually grow to approach a critical size at the threshold of collapse or escape by buoyancy. Due to its abilityto grow bubbles to resonance size, rectified diffusion is responsible for the liquid degassing off in an ultrasoundfield. The bubbles grow during the rectified diffusion process, trapping the dissolved gas, and finally collapse orrise to the surface of the liquid.

Ar

Ar

M

(a) Expansion phase.

H2

MOH

H

M

(b) Contraction phase.

Figure 2.5: Cavitation Bubble: the behavior of a single bubble in aqueous solution under influence of an ultra-sound irradiation.

Based on the mechanism of rectified diffusion, besides the initial bubble size and the driving pressure, the

YUANHUA HE - 16- PHD THESIS

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2.1. SONOCHEMISTRY

effect of the bubble surface condition also contributes to this fundamental activity during cavitation. A numberof information [28, 31–34] have focused on the influence of surfactants on rectified diffusion during the growthof a single bubble. The results suggested that the adsorption of the surfactants at the interface of the bubble canenhance the growth rate of the bubble by rectified diffusion.

2.1.2.3. Stable Cavitation

In stable cavitation, usually under moderate acoustic intensities, bubbles will oscillate around their equilibriumsize and exist for many acoustic cycles. In this type of cavitation, the expansion rate during the rarefaction phase isequal to the rate of contraction during the compression phase. This requires that rectified diffusion, or the unevenmass transfer into the bubble during the acoustic wave cycle, does not occur.

Figure 2.6 shows the radius-time curve of two typical stable cavitations. Both of them display an importantfeature of stable cavitation: repetitive nature of the oscillation. The radii at the end of the acoustic cycle areequal to that of the initial cycle and the whole process then repeats itself in the next acoustic cycle. The stablecavitation of Figure 2.6b also exhibits these features, the amplitude of the bounces dies away completely beforethe beginning of the next cycle.

Figure 2.4 and Figure 2.6 show the single air bubbles behavior under the same ultrasonic field, namely, thesame frequency∗ and same acoustic power. The different features they displays depend on their inherent con-ditions, such as the sizes of the initial bubble nuclei. Due to the relationship between the size and resonancefrequency, the characteristic features of the bubble depends on its natural resonance frequency.

2.1.2.4. Transient Cavitation

In comparison to the stable cavitation, a transient cavity exists for only a few acoustic cycles in high intensityacoustic fields and undergoes explosive growth. The high energy collapse at the last cycle fragments the bubbleinto a few small ones which have potential to act as nuclei for further cavitation.

∗213 kHz is the main ultrasonic frequency used in this research work and it will be discussed in the following chapters.

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2.1. SONOCHEMISTRY

5 10 15 20 25 30 35 400.8

1

1.2

1.4

1.6

Rad

ius

Rat

io

Time (µs)5 10 15 20 25 30 35 40

−2

−1

0

1

2

Pre

ssur

e (a

tm)

(a) Pa=1.4 atm, f=213 kHz, R0=1.0 µm.

5 10 15 20 25 30 35 400

2

4

Rad

ius

Rat

io

Time (µs)5 10 15 20 25 30 35 40

−2

0

2

Pre

ssur

e (a

tm)

(b) Pa=1.4 atm, f=213 kHz, R0=1.6 µm.

Figure 2.6: Stable Cavitation: radius-time curves of an typical air bubble under 213 kHz and 1.4 atm ultrasonicfield during stable cavitation. The dotted line represents the driving sound amplitude. The solid linesare solutions to the Rayleigh-Plesset Equation for different initial bubble radii.

When the resonance condition arises, these critical sized bubbles grows to a maximum size range, becomeextremely unstable and violently collapse during the following compression cycle. Usually before implosion, thebubbles grow several times larger than its initial size and then drastically collapses to create extreme temperaturesand pressures within the cavity. The high pressure is responsible for some of erosion, dispersion and mechanicalrupture, while the high temperature results in sonoluminescence and sonochemical effects.

It is not an easy task to practically distinguish these two different types of cavitation. For example, Figure 2.6bshows the so-called repetitive transient cavitation. With respect to its general effects, this kind of cavitation actsas stable cavitation. However, based on a selected period (Figure 2.7), it displays the transient characteristic

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2.1. SONOCHEMISTRY

properties. Strictly, it is important to know the threshold for transient cavitation. Apfel [13], Church [14] andMatula [24] tried to set up a theoretical threshold to differentiate these two types of cavitation.

0 1 2 3 4 5 60

2

4

Rad

ius

Rat

io

Time ( s)0 1 2 3 4 5 6

−2

0

2

Pres

sure

(atm

)

0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2

1.4

1.45

1.5

1.55

1.6

Figure 2.7: Transient Cavitation: bubble radius as a function of time. The blue solid line is a simulation of theRayleigh-Plesset Equation for Pa=1.4 atm, f=213 kHz, R0=1.6 µm.

Figure 2.7 shows the radius as a function of time plot for a bubble of R0 = 1.6 µm. For the first 2 µs,rapid oscillations occur and have a period of 0.26 µs, associating with frequency of 3.8 MHz, which is twice theresonance frequency of the bubble. After that, the bubble enters into the expansion stage. The negative half-cycleof driving pressure P (t) causes the bubble to expand. This is sufficient to increase the bubble radius by as muchas a factor of 2.2. When the applied pressure changes to positive, the expanded bubble collapses inertially over avery short time and generates an extremely high pressure and temperature. The collapse is followed by a series

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of afterbounces with decreasing amplitude. The bubble oscillates at roughly its resonant frequency during theremaining half cycle, leading to the characteristic afterbounces.

2.1.3. Hot Spot

There were two competing theories existing to explain chemical cavitation: the hot-spot theory and the electricaltheory [35–37]. The electrical theory has been completely discounted, due to experimented observation madefrom sonoluminescence and sonochemistry [38]. The hot-spot theory is now the generally accepted explanationfor the origin of sonochemistry and sonoluminescence.

One of the core contents of the hot-spot theory is concerned with the extreme conditions (high temperature andhigh pressure) inside the bubble during the collapse procedure due to its importance of controlling the efficiencyof sonochemical reactions. There are a number of research studies on direct and indirect methods of temperaturemeasurement on bubble collapse [39–44]. A very simple way provided here is based on the famous Planck’s lawof radiation. The temperature corresponding to the maximum radiation wavelength is given by:

T =2.896× 106

λmax(2.7)

Here, the unit of T is absolute temperature K and the unit of λmax is nm. In the sonoluminescence experiment,purple light was observed from the emission of collapsing bubbles, corresponding to a wavelength range from400 nm to 450 nm. From Equation 2.7, the temperature of acoustic cavitation is approximately calculated around6500-7000 K, which is consist with the results from other experiments [45]. However, the black body radiationwas a preliminary model during the earlier stage of investigation of sonoluminescence. Recent work [46, 47] hasshown the light emission from cavitation is likely a mixture of plasma, molecule, electron-atom bremsstrahlung,radiative recombination and blackbody radiation.

Figure 2.8 and 2.9 are the time-varying pressure and temperature during the bubble collapse. It corresponds tothe example (see Figure 2.3) mentioned earlier in this subsection. Here the pressure and temperature are expressedby Equation 2.5 and Equation 2.6, respectively. Both of these two equations originate from the Rayleigh-Plesset

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2.1. SONOCHEMISTRY

Equation, considering damping effects (Equation 2.4).

Pg = (P0 +2σ

R0

)(R3

0 − a3)κ

(R3 − a3)κ(2.5)

T =T0(R

30 − a3)κ−1

(R3 − a3)κ−1(2.6)

The collapse or the implosion of bubbles leads to generation of extremely high pressure (more than 41,000atm) and temperature (more than 6000 K) within the bubble. The lower curve in Figure 2.9a shows the detailedchanges of temperature at the collapse point. It shows that the implosion of an air bubble happens in a very shorttime (approximately 2 ns). These studies have shown that extraordinary conditions, such as high temperature,high pressure and rapid heating and cooling rates, occur within a liquid at ambient temperature. All these extremeconditions definitely bring special effects to the liquid surround a bubble or the solute existing in the liquid media.The following subsections focus on these effects.

Experimentally, the determination of the temperature within a cavitation bubble can be achieved by a numberof techniques. Roughly, these techniques can be divided into two categories: kinetic measurement and spectro-scopic measurement. Due to the different products or different rate constants under different temperature duringthe sonochemical reactions, the temperature of these reactions can be deduced according to the already knownconventional reactions. Because of the spatial distribution of bubbles and acoustic pressures, the kinetics mea-surement is unable to correctly reflect the conditions in each bubble in the cloud. Spectroscopic methods havebecome a relative reliable measurement. Based on the observation of emission lines from electronically excitedatoms and molecules, the effective emission temperature can be determined by comparing their relative intensities.This method requires accurate measurement of discrete emission lines in the sonoluminescence spectra.

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20 30 40 50 60 70 80

−1

−0.5

0

0.5

1

Time (µs)

Pre

ssur

e (a

tm)

20 30 40 50 60 70 80

10

20

30

40

Time (µs)

(a) The time-varying pressure (same as the curve in Figure 2.3a).

20 30 40 50 60 70 80

105

1010

Time (µs)

Pre

ssu

re (

Pa)

20 30 40 50 60 70 800

2000

4000

6000

Time (µs)

Tem

per

atu

re (

K)

(b) The gas pressure inside the bubble with logarithmic vertical axis.

Figure 2.8: Effects of Bubble Collapse: pressure-time curves of a typical air bubble whose initial radius is 5 µmunder 20 kHz and 1.3 atm ultrasonic field during stable cavitation. The solid lines are solutions to theRayleigh-Plesset Equation for different initial bubble radii.

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20 30 40 50 60 70 800

2000

4000

6000

Time (µs)

Tem

per

atu

re (K

)

51.481 51.4815 51.482 51.4825 51.483 51.4835 51.484 51.4845 51.485 51.4855

1000

2000

3000

4000

5000

6000

Time (µs)

Tem

per

atu

re (K

)

(a) The gas temperature inside the bubble.

Figure 2.9: Effects of Bubble Collapse: temperature-time curves of a typical air bubble whose initial radius is 5µm under 20 kHz and 1.3 atm ultrasonic field during stable cavitation. The solid lines are solutions tothe Rayleigh-Plesset Equation for different initial bubble radii.

2.1.4. Physical Effects of Ultrasound

2.1.4.1. Sonoluminescence

As a result of the extremely high temperatures and pressures generated, a light is emitted from the collapsingbubble, a phenomenon known as sonoluminescence. There are two classes of sonoluminescence: multiple-bubble

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sonoluminescence and single-bubble sonoluminescence. Multiple-bubble sonoluminescence was first discoveredby Frenzel and Schultes in the 1930s [48]. Single-bubble sonoluminescence, however, was first reported byGaitan [23] in 1992. Whether multi- or single bubble sonoluminescence, since its discovery day, many researchershave investigated this special phenomenon both experimentally and theoretically [21, 25, 47, 49–53].

The typical emission spectrum during single-bubble sonoluminescence from water is characterized by a fea-tureless continuum devoid of any lines or bands [25, 47, 54]. The presence of gas, the components of gas and thevapor inside the cavitation bubble is able to change the spectrum as chemiluminescence and atomic emission lineswill contribute to the whole spectrum. At the same time, more energy will be spent on endothermic bond breakingand atom excitement in the presence of water vapor or other volatile solutes. Furthermore, quite a number ofresearchers believe that the light emission from the single bubble collapse is probably due to the combination ofplasma processes, blackbody radiation and pressure-broadened discrete electronic transitions [55–60]. There area number of experimental results [53, 61–67] demonstrating that in addition to the components inside the bubble,surfactant, molecular and ionic solutes around the bubble/solution interface also can take part in the overall sono-luminescence process. Understanding the exact mechanism of sonoluminescence is still a challenge that remainsto be overcome.

2.1.4.2. Other Physical Effects

In addition to sonoluminescence, the mechanical effects of ultrasound have also attracted a considerable amountof interest in the field of science and engineering. These mechanical effects of ultrasonic irradiation are primarilyresponsible for the following effects [68]:

Improvement of mass transport from turbulent mixing and acoustic streaming [9];

The generation of surface damage at liquid-solid interfaces by shock waves and microjets [69];

The generation of high-velocity interparticle collisions in slurries [70];

The fragmentation of friable solids to increase their surface area [71].

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Clearly, the physical effects of ultrasonic irradiation are mostly applied in heterogeneous systems. If solids arepresent in the liquid irradiated by ultrasound, due to the close position of cavitation bubbles to the solid surface,the resulting nonspherical cavity collapse leads to the formation of high speed (refer to Figure 2.3c) jets of liquidinto the surface (see Figure 2.10a). These jets and associated shockwaves can cause substantial damage andexpose highly heated surfaces [3, 7, 72]. Acoustic streaming (see Figure 2.10b) is another important nonlineareffect in which steady fluid flows are formed by acoustic waves. Acoustic streaming seems to be the result ofradiation forces, diffraction and nonlinearities of acoustic field within the oscillatory boundary layer surroundingthe bubble. The impingement of microjets, microsteaming and shockwaves on the solid surface creates the erosionresponsible for many physical effects and applications of ultrasound in heterogeneous reactions.

Microjet

Solid Surface

(a) Microjet.

Cavitation Bubble

Microstreaming

(b) Microstreaming.

Figure 2.10: Microjet and Microstreaming: schematic diagrams showing the physical influence of cavitation bub-ble on a solid surface through the formation of microjet and microstreaming.

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2.1.5. Chemical Effects of Ultrasound

Ultrasound has proven to be a very useful tool in enhancing the reaction rates in a variety of chemical systems.Sonochemistry refers to the field of chemistry where chemical reactions are induced by sound [10]. The chemicaland biological effects of ultrasound were first reported in 1927 [4]. The ultrasonic chemical effects of ultrasoundare not attributed to a direct interaction of the sound field with molecular species. Instead, the source of thechemical effects is generation of the short lived, localized hot-spots [73].

When bubble collapse occurs in liquids, this transient activity results in an enormous concentration of energyfrom the conversion of the kinetic energy of liquid motion into heating of the content inside of bubbles. Theextremely high local temperature and pressure generated inside the bubble leads to the formation of highly reactiveradicals, which provides a unique driving force to initialize chemical reactions. It has been confirmed that duringultrasound driven cavitation, the water molecules inside the bubble can be cleaved into highly reactive H• andOH• radicals, which propel the subsequent chemical reactions (Reaction 2.8). H• and OH• radicals undergo arange of subsequent reactions including the generation of H2O2 [72].

H2O )))) H•+ OH• (2.8)

It is well-known that radicals such as H• and OH• play a key role in most of aqueous sonochemical reactions.Makino et al. used spin trapping and electron spin resonance measurement to confirm the formation of H• andOH• radicals during the sonolysis of water [74].

Free hydrogen atoms have a highly reducing power in nature. With a reduction potential of -2.3 V [75], thehydrogen atom readily reduces inorganic ions having more positive reduction potentials. If oxygen is present, H•will react with it to form HO2• radicals.

H•+ H•GGGGGAH2 (2.9)H•+ O2 GGGGGAHO2• (2.10)

Contrary to hydrogen atoms, OH• radicals have a highly oxidizing power. OH• radicals exhibit a high oxidationpotential of +2.7 V in acidic solution and +1.8 V in neutral solution [75]. OH• radicals produced from the

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sonolysis of water are able to attack all organic compounds and form a series of organic products. Another sourceof OH• is the pyrolysis of molecular oxygen during bubble cavitation.

O2 )))) O•+ O• (2.11)O•+ O2 GGGGGAO3 (2.12)

The reaction between HO2• radicals leads to the formation of hydrogen peroxide, which is utilized to quantify theamount of OH• radicals formed by the oxidation of iodide ions [10].

OH•+ OH•GGGGGAH2O2 (2.13)H•+ HO2•GGGGGAH2O2 (2.14)

HO2•+ HO2•GGGGGAH2O2 + O2 (2.15)H2O + OH•GGGGGAH2O2 + H• (2.16)

Under a nitrogen and oxygen atmosphere, other reactions can be expected to occur [10].

N2 + O2 )))) 2NO (2.17)2NO + O2 GGGGGA 2NO2 (2.18)

The formation of nitrous and nitric acid resulting from the reaction of NO2 and H2O is the reason that the pH ofwater decreases during the sonication of air-saturated water [76, 77].

Unfortunately, the recombination of highly reactive H• and OH• also occurs during cavitation. It has been the-oretically estimated that about 80% of the primary radicals generated annihilate within the bubble (Reaction 2.19)and only about 20% are responsible for secondary chemical reactions in the solution phase [78]. Obviously, these”lost” radicals do not influence the chemical reactions in aqueous solution, which means they do not have positiveeffects on sonochemistry. Increasing the amount of effective radicals is the critical pivot to enhance the efficiencyof sonochemistry.

H•+ OH•GGGGGAH2O (2.19)

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A number of measures have been adopted to inhibit the recombination of the primary radicals, such as addition ofsurfactants, polymers or alcohols to convert primary radicals to secondary radicals. Experimental evidence showsthat some surfactants and alcohols have a strong influence on the efficiency of sonochemistry [33, 79–81].

2.1.6. Applications of Ultrasound

Sonochemistry shares, with sustainable chemistry, such aims as the use of less hazardous chemicals and solvents,a reduced energy consumption and an increased product selectivity. It is a new and rapidly growing research fieldwith broad environmental applications, such as in waste water treatment, industrial waste treatment, etc.

The main task in sonochemical applications is the choice of the proper bubble behavior for the desired effect.Applications of ultrasound in processing and synthesis are ubiquitous, but two major beneficial effects contributeto its various applications: physical effects - mechanical effects for mixing and disintegration and chemical effects- high energy processes involving radical reactions .

2.1.6.1. Applications of the Physical Effects of Ultrasound

Ultrasonic cleaning and decontamination of surfaces are two of the most popular applications of ultrasound. In1954, Elder et al. found that bubble-induced micro-streaming is one of the factors leading to the well-knownultrasonic cleaning effects [82, 83]. Specifically, the high flow velocities resulting from the bubble collapse leadto important drag and shear forces at the surface, responsible for cleaning and erosion effects. This concept isusually adopted to explain the pitting of solid surfaces observed under ultrasound fields and the overall particledispersion in heterogeneous systems. The particular advantage of ultrasonic cleaning is that it can reach crevices orcorners that are not easily accessible using conventional cleaning methods and also avoid involving other chemicalcontamination.

Ultrasonic nebulization provides an effective way to produce atomizer water sprays, which have many uses,such as dust suppression in industry, humidifiers, gel particle production and extraction [84]. One of the mainadvantages in using ultrasonic nebulization is that varying the ultrasonic power or the frequency can preciselycontrol surface waves which determine the nebulized droplet sizes. In addition, alcohol and surfactant molecules

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at the gas/liquid interface also contribute to the nebulization effect of ultrasound [85–87]. This is a great advantagein comparison with distillation operation, as ultrasonic nebulization rarely leads to phase changes.

Ultrasonic extraction is a powerful tool used to obtain natural products that usually require much longer timethan conventional methods. The application of ultrasound-assisted extraction offers many advantages includingthe reduction of the quantity of solvent used, temperature and the time cost for extraction, specifically for thethermolabile and unstable compounds. Furthermore, ultrasonic extraction can be used for a broad number ofcompounds including dyes [88], elements [89], phenolic compounds [90–92], oils [93, 94], special compounds inplants [95–97], and so on.

Ultrasonic dispersion offers an attractive route for treating nanoparticles in aqueous environments with thepossibility of de-aggregating and de-agglomerating particles in parallel to their homogeneous dispersion [98].These processes are attributable to a combination of shockwaves, thermal gradients, micro-jets and other acousticcavitation effects [99].

Ultrasonic ultrafiltration provides an effective method for membrane fouling control and cleaning. It is well-known that microsteaming, acoustic streaming, microjets and shock waves generated during cavitation are capa-ble of removing portions of the foulant layers from membrane surfaces and preventing the deposition of particleswhich lead to membrane fouling. In other words, ultrasound influences effectively both the ultrafiltration produc-tion cycle and the cleaning cycle to enhance the efficiency of membrane ultrafiltration [100].

2.1.6.2. Chemical Applications of Ultrasound

Sonochemistry has been extensively used in materials synthesis, specifically for a broad range of inorganic ma-terials. One of these sonochemical synthesis processes is the preparation of very narrow size distribution metalparticles. The ultrasound-initiated formation of metal colloids in aqueous solution has been observed for a numberof metals including Ag, Au, Pt and Pd. In addition to these metal nanoparticles, the synthesis of metal oxide hasalso attracted a special interest recently. The following section (Section 2.2) will discuss the synthesis of thesemetal and metal oxide nanoparticles by ultrasound irradiation.

A significant amount of work has been reported concerning the sonochemical effect on various systems in

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organic synthesis [10, 101]. Ultrasound has the ability to initiate or accelerate the synthesis of various organiccompounds, by changing the reaction pathway. The sonochemical synthesis of organic materials is also extremelyversatile [102].

In recent years, ultrasound chemistry has proved to be a novel technique to synthesize polymer latex particleswithout involving chemical initiator [103, 104]. Polymerization was thought to be the result of the primary radi-cals from cavitation attacking the monomer molecules to form monomeric radicals which could polymerize by aconventional mechanism [84, 105].

Another important application field of ultrasound is environmental remediation. The generation of highlyreactive primary radicals during cavitation and the presence of extreme conditions inside the bubble provided theconditions to decompose almost all organic compounds around or inside the cavitation bubbles. This applicationwill be discussed in Section 2.4.

2.1.6.3. Biological Applications of Ultrasound

Ultrasonic sterilization has been promoted as an alternative to other more conventional methods. The action ofhigh intensity ultrasonics in liquid sterilization is perhaps attributable to cavitation and micro-streaming, whichenhance the separation and dispersion of clusters of bacteria.

In addition to sterilization, ultrasound has been used successfully for many years for a range of applications in-cluding most notably the diagnosis, investigation and treatment of diseases. These extensive applications includecancer therapy [106], sonodynamic therapy [107], bone regeneration [108], tissue dissection and ablation [109],medical diagnosis [110], and many more. These critical developments have stimulated more research into thebiophysical interactions of ultrasound with respect to health and safety and has further led to increasingly sophis-ticated medical and therapeutic techniques and equipment design.

Above all, ultrasound has great potential in a wide variety of processes in science, engineering, medical anda variety of industries, even replication of the prebiotic molecular evolution [111]. Timothy Mason summarizedthese potential trends of ultrasound in several reviews on ultrasound [1, 112–114], which are good referenceresources for further reading.

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Section 2.2Sonochemical Synthesis of Inorganic Nanoparticles

Over the past few years, the synthesis of inorganic and bio-materials has developed as one of the most impor-tant applications of sonochemistry [68, 78, 115, 116]. With extremely high local temperatures and pressuresaccompanying drastically rapid cooling speeds, acoustic cavitation provides an unique preparation means for un-usual materials with special properties from the precursor solution. At same time, due to its ”green” preparationconditions, without any extra chemicals, sonochemical method has won more attractions compared with conven-tional preparation methods. Ultrasound has proved to be extremely useful in the synthesis of a wide range ofnanometer-sized materials, including high-surface area metal, bimetal, alloys, carbides, oxides, sulfides, nitrides,chalcagonides, polymer composites, ceramic materials, dielectric materials and other colloids, These nanoparti-cles formed varied in size, shape, structure and crystal phase, but they were always in a narrow nanometer-sizeddistribution.

The following reactions describe the primary mechanism for the synthesis of metallic nanoparticles in aqueoussolution. Obviously, the sonolysis of water to form highly oxidizing OH• and reducing H• (Reaction 2.8) is thefundamental base for the subsequent reactions.

H2O )))) H•+ OH• (2.8)ROH )))) H•+ OH•+ R•+ RO•+ O (2.20)

ROH + OH•GGGGGARO•+ H2O (2.21)nH•+ Mn+

GGGGGAM + nH+ (2.22)nRO•+ Mn+

GGGGGAM + R′ + nH+ (2.23)n(M)GGGGGA (M)n (2.24)

Where, RO• denotes the alcohols or surfactants; Mn+ is a metal ion; (M)n is a metal colloid with n atoms. Here,in addition to the primary radicals H• and OH•, there is another kind of radical RO•, which is called a secondaryradical. If sonolysis occurs in pure water, only H• atom can be expected to be involved in synthesis of metal

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particles [78]. The appearance of RO• greatly improves the efficiency of the sonochemical preparation metalcolloids. These type of radicals play the key role in the synthesis of metal nanoparticles.

Several studies have shown that the presence of aliphatic alcohols accelerates the reduction of metal ions [78,117–119]. This enhancement is mainly attributed to the fact that the surface active solutes adsorbed at the bubble-solution interface are capable of scavenging the primary radicals to generate secondary radicals and inhibit therecombination of the primary radicals. There are two pathways for added alcohol to convert to secondary radicals.If the aliphatic alcohol is volatile, some of alcohol will evaporate into the cavitation bubbles. During the compres-sion cycle which leads to high temperature, these molecules will convert into the alcohol radicals (Reaction 2.20and Figure 2.5). The alcohol at the bubble/solution interface is likely to undergo the second pathway. Becauseof their advantageous position, they readily scavenge primary radicals (Reaction 2.8), thereby inhibiting the re-combination of the primary species (Reaction 2.19). This activity of alcohols enables the highly oxidizing OH•radicals to convert to alcohol radicals possessing a reduction potential. These secondary radicals can reduce themetal ions in the bulk solution to form metal nanoparticles. Obviously, the presence of aliphatic alcohols has thecapability of enhancing the formation of metal nanoparticles.

The addition of surfactants during the synthesis of nanoparticles by the sonochemical synthesis method hasattracted much interest recently [119–121]. The surfactants influence the reaction in two ways: stabilizing theformed nanoparticles and influencing the behavior of cavitation. The former effect is similar to that of surfactantin the conventional preparation of nanoparticles. The charged surfactants are able to prevent the aggregation ofnanoparticles by electrostatic forces. As shown in Figure 2.11, the stabilizing effects of the surfactant is due tothe adherence of their long hydrocarbon chains to the surface of colloidal particles with the anionic head groupsprotruding out into the aqueous surroundings. The presence of surfactants affects the bubble growth process duringboth rectified diffusion [31] and coalescence [122–124].

In addition to the action of solutes such as alcohol and surfactant, the atmosphere during the reduction processalso plays an important part in improving the efficiency of generating nanoparticles by ultrasonic irradiation.Based on the simple hydrodynamic model for a cavitation bubble, the theoretical temperature within the bubblecan be expressed by Equation 2.6 . According to this mathematic model, the temperature closely correlates withthe polytropic index (κ) of the gas/vapor mixture and the van der Waals hard-core radius a, which strongly depends

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VA

V

r

VR

Potential Energy of

Interaction

Primary minimum

Secondary minimum

Figure 2.11: Stabilizing Function of Surfactants: potential energy of interaction V between two colloidal particlesas a function of interparticle distance r. VA is the attractive London-van der Waals interaction, VR isthe repulsive interaction and V is the total resulting interaction curve.

on the gas molecules originally dissolved in the fluid. Figure 2.12 shows the temperature changes with time duringcavitation under an argon atmosphere.

Compared to the maximum temperature (∼6000 K) under an air (Figure 2.9a), the maximum temperatureunder argon atmosphere (Figure 2.12) reaches more than 16,000 K. This calculated result implies that monatomicgas can give rise to greater extent of heating during bubble collapse than a diatomic gas, thereby can be expectedto increase the yield of highly reactive primary radicals. Although this number is calculated by a mathematicallyestimation, a large amount of experimental evidence [10, 119, 125, 126] has also demonstrated that monatomicgas atmosphere greatly enhances the reduction of metal ions to form metal nanoparticles. Another effect is that the

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40 45 50 55 60 65 700

5000

10000

15000

20000

Tem

pera

ture

(K

)

Time (µs)40 45 50 55 60 65 70

−2

−1

0

1

2

Pre

ssur

e (a

tm)

Figure 2.12: Influence of gas atmosphere: the blue solid line is a simulation of temperature as a function oftime for a initial 5 µm radius bubble sonicated at 20 kHz and 1.3 atm ultrasound under an argonatmosphere.

gas atmosphere has the thermal conductivity inside the bubble. Having the smallest thermal conductivity, Xe isthe best candidate for the ambient gas for cavitation. At the same time, the inert atmosphere can form a protectiveambient environment for the formed nanoparticles against oxygen, preventing oxidation back to metal ions.

The acoustic power and frequency, the ambient temperature, pH , external pressure and the choice of solventcan be also expected to affect the efficiency of sonochemical reactions in different ways [10, 127]. Adjustingthese factors to obtain the maximum efficiency is always a goal of the ultrasound application. Furthermore, someof these factors rather than being independent are interrelated and influence one another in a multitude of ways.For example, the addition of surfactant will not only alter the behavior of cavitation, but will also change the

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surface tension and vapor pressure inside the bubble. It is very important to adjust and balance these factors. Inparticular, it is necessary to carefully consider every factor which affects the cavitation in designing and setting upsonochemical equipment.

2.2.1. Synthesis of Metal Nanoparticles

A special interest lies in the recent development of sonochemistry as a synthetic tool for the preparation of metalor bimetallic nanoparticles. These nanoparticles has attracted enormous interest because of their novel propertiescompared to bulk materials and unique phenomena occurring at the nanoscale regime. For example, they can serveas a model system to experimentally probe the effects of quantum confinement on electronic, magnetic, and otherrelated properties. The fascinating properties of metal nanoparticles are mainly determined by their size, shape,composition, crystallinity and structure. Due to controllable reactions, inexpensive cost equipment and the abilityto form particles with uniform shapes, narrow size distribution, ultrasonic irradiation of aqueous noble metal ionsolutions is one important synthetic means to obtain nanometer-sized particles.

There are two possible pathways to synthesize inorganic nanoparticles sonochemically (shown in Figure 2.13).The first pathway is by radical reduction, which mainly happens in aqueous media. Normally the ultrasound-initiated formation of Au, Ag, Pt and Pd take place due to the role of radicals. The cavitation bubble is responsiblefor forming the highly active primary radicals and secondary radicals and the reduction process is same as conven-tional radical reaction. This pathway is the primary focus of the following. The second pathway is the pyrolysis oforganometallic precursors in organic media, in which the extremely high temperature during collapse is playingthe key role. The synthesis of Fe, Ni, Co is usually performed using this pathway. A brief summary is provided onthis synthesis mechanism at the end of this section. During the early stage of nucleation, the metal salt is reducedto zerovalent metal atoms by either radical reduction or pyrolysis. Collision of these metal atoms or particlesresults in the formation of stable metal nuclei. The diameter of these nuclei is a few angstroms depending on thepreparation conditions during the irradiation. At the same time, pre-existing metal atoms can act as catalysts toconvert ions to atoms via absorption of radicals in the aqueous environment. This autocatalytic procedure alsocontributes to the formation of metal nuclei. Nanoparticle inter-collision [70] and autocatalytic reduction also

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Colla

pse Metal Ion

H2O

Precursor Molecular

R· R·R·

OH·

Pyrolysis Metal Atom

NanoparticleNuclei

Metal IonCollision

Autocatalytic Process

Reduction

Growth

Secondary Radical

Surfactant

Mn+

Mn+ X-

Mn+ X- Mn+ X-

MM

M

H2O

H2O

H 2O

H2 O

H2 O

H2O

Mn+Mn+

Mn+

Mn+

Mn+

Mn+

H2O

OH·

Figure 2.13: Metal Nanoparticle Synthesis Procedure: the sonochemical formation of metal nanoparticles in thepresence of surfactant/alcohol.

plays a significant role in the growth process of metal nuclei.Table 2.1 summarizes recent publications on sonochemically synthesized metal nanoparticle colloids in aque-

ous systems. There are four metallic ions which can be reduced by the active radicals of acoustic cavitation.

In some noble metals, such as gold, silver and copper, due to their nanometer size being below of an electronaverage free path (the distance between scattering collisions and the lattice centers), this gives rise to intensive

∗Standard reduction potentials obtained from reference [26] are for bulk metal.

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Table 2.1: Recent reports on the sonochemical synthesis of metal nanoparticles in aqueous solution.

Metal Reaction E/V ∗ Colloid Color Reference

Gold AuCl−4 + 3e−GGGGGAAu + 4Cl− 1.00 Reddish-violet [117, 119, 121,128–136]

Silver Ag+ + e−GGGGGAAg 0.80 Yellow [129, 137–140]Palladium Pd2+ + 2e−GGGGGAPd 0.95 Dark brown [126, 129, 141–

145]Platinum PtCl2−

4 + 2e−GGGGGAPt + 4Cl− 0.76 Dark brown [118, 120, 126,129, 134, 146,147]

absorbance of near UV-visible light. This results from the coherent oscillation of the free electrons within theparticles, and is called surface plasmon absorption. The surface plasmon maximum absorption during the re-duction is usually used to monitor the progress of the formation of the corresponding metal nanoparticles. Mostrecently, surface plasmon adsorption has received considerable attention for its potential in optical manipulationat the nanoscale.

2.2.1.1. Gold Nanoparticles

Gold nanoparticles have attracted considerable attention in the field of nanotechnology due to their unique opticalproperties, which depend on electronic properties rather than molecular structure, and the facile functionalizationof this material with a variety of other molecules. Despite being known for many years, the application of thismaterial continues to be actively studied showing the potential for major commercial use in the future.

Sonochemical synthesis of golds colloid usually starts with an aqueous solution of millimolar quantities ofAu(III) ions. Without any surfactants or other alcohols, H•which has high reduction potential is the main reductant

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to reduce the Au(III) ions to produce gold nanoparticles. The color changes of the solution reflect the progressof the reduction. Normally, the color of the AuCl−4 is yellow (220 nm) and the gold nanoparticle colloids arereddish-violet, corresponding to the plasmon absorption 530 nm (Shown in Figure 2.14).

AuCl−4 + 3H•GGGGGAAu + 3H+ + 4Cl− (2.25)

These absorption bands can be used to quantify the rate of the reduction of AuCl−4 and the formation of zero-valentgold, respectively.

200 300 400 500 600 700 8000

0.5

1

1.5

2

2.5

3

Wavelength (nm)

Abs

orba

nce

Au(0)

AuCl4-

Figure 2.14: UV-vis spectrum observed after the sonochemical reduction of an aqueous solution of 1 mM AuCl−4containing 8 mM SDS and 0.2 M 1-propanol after 10 min sonication in an Ar atmosphere. Theultrasound frequency used was 213 kHz and the total power was 35 mW/mL.

The reduction rates of metal ions can be significantly enhanced in the presence of surface active solutes. Carusoet al. investigated the influence of different concentrations of different chain length alcohols [119]. They found

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that longer chain alcohol and higher alcohol concentration can lead to the smaller size particles. Okitsu et al.concluded that the size of the Au nanoparticles produced was closely related to the rate of sonochemical reductionof the Au(III) ions [132]. Clearly, the alcohol concentration and the alcohol chain length have the potential toalter the reduction rate of the metal ions. Increasing the alcohol concentration gives rise to a greater amount ofprimary radical scavengers, which results in higher reduction rates. There are two possible reasons contributingto the influence of alcohol chain length. A longer carbon chain is associated with a greater hydrophobicity whichenables the alcohol to be more readily concentrated on the interfaces of the gold/solution and bubble/solution. Forthe case of the alcohol at the gold/solution interface, it will stabilize the particle and inhibit further growth. In thelatter case, the alcohol can collect more primary radicals during cavitation to enhance the yield of colloid gold.The TEM images of gold colloid prepared by the sonochemical method are shown in Figure 2.15.

During the sonochemical preparation of gold nanoparticles, there are a number of experimental parameterswhich can change the particle size, shape and other properties. For example, micro-gravity can affect the par-ticle size distribution [131]; the concentration of stabilizer and ultrasonic irradiation power can influence theshape of gold nanoparticles [121, 136]; the subsequent aging after gold nanoparticles can induce the growth ofnanoprisms [135].

If sonication occurs in the presence of another inorganic support or precursor, nanometer-sized cluster canbe fixed on the surface of these supports, which can lead to the formation of very active supported heterogeneouscatalysts [148]. Particular, this way provides an unique means of creating special gold nanoparticles which possessmagnetic properties [149, 150].

2.2.1.2. Platinum Nanoparticle

Platinum nanoparticles are of special interest and are the subject of intense study as they exhibit special catalyticproperties different from those of conventional platinum metal catalysts. The diameter of platinum nanoparticlessynthesized by the sonochemical method is usually below 5 nm. The deviation in particle sizes is very small andessentially the particle size is homogeneous. This advantage provides high surface area catalysts, which are usedin a range of applications.

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[111]

[111]

[111]

[111

]

[200]2.36 Å

2.36 Å

2.02 Å

2.36 Å

2.36 Å

Figure 2.15: TEM images and crystal lattice of Au nanoparticles prepared by sonochemical reduction of an aque-ous solution of 1 mM AuCl−4 containing 1 mg/mL PVP and 0.4 M 1-propanol under an Ar saturatedatmosphere. The ultrasound frequency used was 355 kHz and the total power was 55 mW/mL.

Normally the preparation of platinum nanoparticles is by sonochemical reduction of PtCl2−4 / PtCl2−

6 ions,whose aqueous solution has a pale yellow color. Similar to the reduction of gold ions, the platinum ions maybe reduced via two possible pathways, by radicals or via a thermal process, to form platinum nanoparticles.Mizukoshi et al. found that the Pt(IV) ion is reduced to zerovalent metal is via two steps: Pt(IV) to Pt(II) and thenPt(II) to Pt(0) [120]. While these two steps look simple, the mechanism involved is rather complex. Ciacchi et al.have theoretical investigated the initial nucleation of platinum nanoparticles by means of first principles moleculardynamics simulations. At equilibrium, a 1 mM K2PtCl4 solution consists of 5% PtCl2−

4 , 53% PtCl3(H2O)− and

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42% PtCl2(H2O)2 [151].

PtCl2−4 + H2O GGGGBFGGGG PtCl3(H2O)− + Cl− (2.26)

PtCl3(H2O)− + H2O GGGGBFGGGG PtCl2(H2O)2 + Cl− (2.27)

Of there three Pt(II) complexes, only the neutral complex PtCl2(H2O)2 binds an extra electron and reduction ofthis complex results in the formation of PtCl−2 , which is reduced to PtCl− in the following step. After that, aplatinum dimer is formed in aqueous solution. They emphasized that the formation of a Pt-Pt bond between thePt(I) complex and an unreduced Pt(II) is the key step in the preparation of zerovalent nanoparticles. Obviously,the process of reduction from the platinum ions to platinum metal particles is much more complex than the simplechemical reaction from a stoichiometric point of view.

Not all metal particles show plasmon resonances. Metals such as iron, palladium and platinum do not showresonances because of lifetime broadening via strong plasmon decay channels. Strong conduction electron relax-ation, radiation dumping, as well as transformation of the collective excitation into electron-hole pair excitationare other reasons for this behavior [152].

Caruso et al. found that the presence of aliphatic alcohols during the sonochemical synthesis of platinumnanoparticles had the same enhancement effect as that as gold ion reduction system [118]. Mizukoshi et al. havemade similar observations [120, 146, 147].

2.2.1.3. Palladium Nanoparticle

Palladium nanoparticles are particularly noteworthy with respect to applications due to their potential use as cat-alysts, magnetic storage materials and hydrogen storage materials. A variety of techniques have been utilized toprepare palladium nanoparticles, such as photolytic decomposition, thermal decomposition and hydrogen reduc-tion.

Similar to the process of gold and platinum, ultrasonic reduction of palladium salts in aqueous media wasdeveloped to generate palladium nanoparticles with a small size, high surface area, and narrow size distribution.The size of the particles depends on the initial concentration of surface active additives and alcohols, substantively

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hinge on the reduction rate. A typical synthesis experiment is to sonicate an aqueous solution containing palladiumsalts and stabilizer [polyvinyl-2-pyrrolidine (PVP)] in the presence of the radical scavenger, 1-propanol. The PVPis able to protect the palladium nanoparticles by adsorption to the particle surface via the coordination of thecarbon-oxygen group with the palladium surface atoms [145].

Figure 2.16: TEM images and crystal lattice of Pd nanoparticles prepared by sonochemical reduction of an aque-ous solution of 1 mM K2PdCl6 containing 1 mg/mL PVP and 0.4 M 1-propanol under an Ar saturatedatmosphere. The ultrasound frequency used was 355 kHz and the total power was 55 mW/mL.

As mentioned before, the gas atmosphere during the reduction process plays an important role in controllingthe temperature when bubbles collapse and thus affects the reduction rate. This influence of gas environment isreflected in the nanoparticle sizes [126]. As with gold nanoparticles, the palladium can be doped into the catalystsupports by addition of the precursor solutions of the support materials, such as actived carbon [142], poroussilica [143], alumina [153] and Y-zeolite [144].

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2.2.1.4. Silver Nanoparticles

Among the metals, silver nanoparticles have found interesting applications as optical polarizers, catalysts andphoton crystals as well as for biomedical and chemical sensors.

The reduction of silver ions in aqueous solution by ultrasound is attributed to the reducing H• and R• radicals,as shown in the Reaction 2.28 and 2.29.

Ag+ + H•GGGGGAAg + H+ (2.28)Ag+ + R•GGGGGAAg + R′ + H+ (2.29)

By collision or by an autocatalytic process, the Ag atoms coagulate to form the metal nanoparticles. Consideringthe redox levels (see Table 2.1) involved in the reaction something about the mechanism is clearly incorrect [78].The occurrence of these reactions requires that the redox potential of a few aggregated atoms should be lowerthan that of the bulk metal. By a thermodynamical cycle, Henglein concluded that the redox potential of silveratoms in aqueous solution was indeed E(Ag+/Ag0) = -1.8 VNHE, which is 2.6 V lower than that of the bulkmaterial [154]. The size-dependent redox potentials of silver clusters were progressively determined to increasewith cluster nuclearity.

Silver particles have the unique property that the excitation of the collective oscillation (plasmon absorptionmaximum at 380 nm) and the inter-band transitions (320 nm) occur in separate wavelength regimes. Usuallythe color of silver colloids, closely relating to these bands, depends on the metal particle size and shape. Thedifference in the particle size, shape and the properties of the surface results in different colors, and can rangefrom yellow to green. However, colloid silver is a complex system and there are a number of parameters that playa role in determining their optical properties. For example, increasing the solvent polarity results in a blue-shift ofthe absorption band and increasing temperature leads to a red-shift. Figure 2.17 shows the TEM images of silvernanoparticles prepared by sonochemical reduction. The average particle size is less than 8 nm.

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[1 1 1]

2.36

Å

2.36 Å2.05 Å

[1 1

1]

[2 0 0]

Figure 2.17: TEM images and crystal lattice of Ag nanoparticles prepared by sonochemical reduction of an aque-ous solution of 1 mM AgNO3 containing 1 mg/mL PVP and 0.4 M 1-propanol under an Ar saturatedatmosphere. The ultrasound frequency used was 355 kHz and the total power was 55 mW/mL.

2.2.1.5. Synthesis of Metal Nanoparticles in Organic Media

Suslick and co-workers were the first to prepare amorphous metals in nonaqueous solvents [155]. They cleverlytook advantage of the volatile properties of organometallic complexes and introduced them into the cavitationbubbles. The extremely high temperature of the bubble during the collapse leads to the decomposition of thesecomplexes to form metal atoms. In order to accumulate an adequate amount of organic complexes in the bubble,it is necessary to dissolve them in organic liquids. Typically, sonochemical formation of iron starts with a solutionof Fe(CO)5 in octanol, decane or another organic solvents. Under the effects of ultrasound irradiation in an argonatmosphere, the volatile iron pentacarbonyl is decomposed inside the bubble and highly porous amorphous iron

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metal particles are formed.

Fe(CO)5 )))) Fe(CO)n + nCO (2.30)Fe(CO)3 + 2Fe(CO)5 GGGGGAFe3(CO)12 + CO (2.31)

Fe(CO)n GGGGGAFe(s) + CO (2.32)

The amorphous nature of the iron prepared by ultrasound is attributed to the rapid cooling rates after the formationof iron metal. According to the Figure 2.12, it only takes less than 200 ns to cool from 16,000 K to ambienttemperature. The cooling rate is more than 1011 K/s. It is well-known that the faster cooling rate inhibits theorganization and crystallization and finally leads to forming an amorphous structure.

In addition to iron particles, a number of nanometer-sized amorphous metal nanoparticles, such as cobalt,nickel, palladium, have been synthesized from their volatile organometallic complexes (see Table 2.2).

Table 2.2: Recent reports on sonochemical synthesis of metal nanoparticles in organic media.

Metal Precursor Solvent Reference

Iron Fe(CO)5, Decane, [155–157]Cobalt Co(CO)3(NO) Decane, Decalin [157–160]Nickel Fe(CO)4, Ni(C8H12)2 Decane, Decalin, Toluene [161–164]Palladium Pd(C5O2H7)2, Pd(O2CCH3)2 Toluene, THF, Methanol [165, 166]

2.2.2. Sonochemical Synthesis of Bimetallic Nanoparticles by Ultrasound

Bimetallic nanoparticles constitute a special class of nano-composite materials. They consist of two differentparticles which results in highly functional properties quite different from individual particles. Usually they exhibitmodified and improved properties compared with their single component counterpart. By simply tuning the ratio

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of each component, the properties can be alerted. With delicate control ability, it is possible to use ultrasound tosynthesize these nano-structured bimetallic particles of desired shape, size and morphology.

The preparation method of binary nanoparticles can be divided into two categories: simultaneous and sequen-tial. The simultaneous method is comparatively simple by means of varying the reaction speed to change the ratioof component. Sequential methods require more complicated procedures to control the formation of binary metalparticles. Specifically in aqueous solution, the sequential method to form core-shell structure nanoparticles is byreduction of the core metallic ions following by the reduction of the shell metallic ions.

As with the monometallic nanoparticles, the bimetallic nanoparticles can be formed in either an aqueousenvironment or an organic medium. There are a number of literature reports concerning the synthesis of bimetal-lic nanoparticles in aqueous solution, such as AuPd [167–173], AuPt [134, 168, 170, 174], AuAg [175] andPtPd [174]. Normally by controlling the concentration of precursor ions or irradiation time via the simultaneousmethod , it is possible to form composite particles with different ratio of components.

The sonochemical preparation of bimetallic alloys from organic media has also been achieved by sonicatingnon-aqueous mixtures of organometallic complexes, such as FeCo [157, 176, 177], FeNi [178] and CoNi [179],even FeNiCo superparamagnetic nanoparticles [180]. The relative amount of each component could be controlledby changing the concentration ratio of the precursors in the solution under sonication.

2.2.3. Synthesis of Metal Compound Nanoparticles by Ultrasound

In addition to the metal and bimetallic nanoparticles, ultrasound also offers a very attractive means for the synthesisof various nanometer-sized metal oxides, sulfides and selenides. The reactions of the sonochemical preparationchalcogenide nanoparticles in aqueous solution are listed as follows [115, 181]:

H2O )))) H•+ OH• (2.8)RN + 2H•GGGGGAR•+ H2N (2.33)

Mx+ + yH2NGGGGGAMxNy + 2yH+ (2.34)nMxNy GGGGGA (MxNy)n (2.35)

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Where, N represents S or Se. In case of S, RN is CH3CSNH2, NH2CSNH2 or CH3CH(SH)COOH; for Se, RNis NH2CSeNH2. Obviously, the strongly reducing radical H• is able to break up the carbon-sulfur or carbon-selenium bonds to form H2S or H2Se. This intermediate compound H2S or H2Se plays the critical role in formingthe chalcogenide nanoparticles in aqueous solution.

These chalcogenide nanoparticles are extremely versatile as follows:

Oxides: TiO2, SiO2, ZnO, ZrO2, MnOx, Fe2O3, Fe3O4, Eu2O3, Tb2O3, WOx,Tl2O,Cr2O3, Mo2O5, PdO, CeO2, Cu4O3;

Sulfides: ZnS, Sb2S3, SnS2, CdS, CuS, PbS, Bi2S3, WS2, ZnS, MoS2, In2S3, Ag2S;Selenides: PbSe, CdSe, HgSe;Telluride: PbTe, MoTe2;

Ultrasound, a tool to create unique conditions for chemical reactions, has been used to synthesize a broadrange of macrostructure materials. Some of these processes have been known for many years and continue to tobe used and more frequently. A number of excellent reviews exist concentrating on the synthesis of inorganic[68, 115, 116, 181–185] and organic nanoparticles [68, 102, 115], for further reading.

Section 2.3Synthesis of Metal Nanoparticles by γ-Ray Irradiation

An array of exciting events in the growth of radiation chemistry was witnessed last century, due to the unique capa-bility of radiation techniques to selectively generate free radicals and ions, with precise and measurable yields. Theγ-ray irradiation technique has some special advantages: it is reproducible and can be applied at ambient temper-ature, no disturbing chemical impurities are introduced, and the reduction is initiated homogeneously. Therefore,this technique has been widely used to synthesize a broad range of nano-crystalline metals, alloys, metal oxides,metal sulfides, and nano-composites.

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Radiolytic synthesis utilizes high energy rays to activate the water molecules of the solvent to generate highlyreactive species including radicals and hydrated electrons, which play essential roles in the subsequent chemicalreactions. Due to its high energy, γ-ray irradiation is a powerful technique for the formation growth of nanoparti-cles. Figure 2.18 illustrates the mechanism of synthesis of metal nanoparticle by the γ-ray irradiation technique.

γe-

aq

+

++++

+

+

++++

+

+

++++

+

++

++

++

+

++

++

++

+

+++

+

+++

+

+

++ +

+

++ +

+

+++ +

+++

+ + +

+

+ + +

+

+ + +

+

+++

+

+++

+

+

++ +

+

++ +

+

+++ +

+++

+ + +

+

+ + +

+

+ + +

+

++++

+++

+

+

++ +

+++ +

+

+++ +

+++

+ + +

+

+ + +

+

+ + +

+

+

++++

+

ROH

Surfactant

Surfactant

Surfactant

Stable Aggregates

Excess Ions

ROH

H2OH3O

+

OH

N2O

R R'

Mn+

M'n+

M'0

M0

M2Mmx+

(MmM'n)y+ MMM'N

(MPM'q)z+

MPM'Q

MN

Alloyed Aggregates

Core-Shell Structured AggregatesM(n-1)+

M'(p-1)+

EӨ (Mn+/Mn)

H

H+

H+ Coalescence

CoalescenceCoalescence

Coales

cenc

e

Coalescence

Coalescence

Reduction

Oxidation

OxidationReduction

Reduction

Reduction

Reduction

Coalescence

Coale

scen

ce

Coalescence

Coalescence

Figure 2.18: The mechanism of metal ion reduction in aqueous solution by γ-ray irradiation (modified from refer-ence [186]).

In the case of water, the initial act of radiolysis is given by the following Equation 2.36-2.39. Importantly, inthe γ-ray irradiation process, in addition to OH• and H•, another important hydrated electrons are generated from

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water.

H2O H2O+•+ e− (2.36)H2O+•+ H2OGGGGGAOH•+ H3O+ (2.37)

e− + H2OGGGGGAOH•+ H−GGGGGAOH•+ H2 + OH− (2.38)

e− + H2OGGGGGA e−aq (2.39)

e−aq is the hydrated electron, namely an electron solvated by water. By summarizing these three reactions as one,for the action of high energy radiation on water, the variety of early products typically formed is indicated by theEquation 2.40:

H2O e−aq(2.7), H•(0.55), OH•(2.7), H2(0.45), H2O2(0.7) (2.40)

The numbers in parentheses represent the respective G values, which expresses the number of each species formedper 100 eV of energy absorbed by the water.

The hydrated electron, the most intriguing species formed during irradiation, is a strongly reducing agent witha redox potential estimated to be (E(H2O/e−aq) = -2.87 VNHE [75]). It is not surprising that it can react with mostmetal ions except the alkali and alkaline earth metal ions to obtain zerovalent metals. The hydrated electron maybe visualized as an excess electron surrounded by a small number of oriented water molecules and behaves insome ways like a single charged anion of about the same size as the iodide ion. This solvated electron has anintense absorption band around 720 nm in the visible region of the electromagnetic spectrum [75]. It is possibleto quantify this species by measuring this maximum absorption using spectrophotometry.

As with sonolysis (see Subsection 2.1.5), the γ-ray irradiation process of water also produces very stronglyreducing H• and oxidizing OH• radicals. The hydrogen atoms have a slightly less powerful reducing potential thanthe hydrated electrons but usually it dominates the reduction in acidic solution. Due to the fact that its maximumabsorption wavelength is less than 200 nm, it is difficult to directly measure the H• radicals by spectrophotometry.The e−aq can convert to H• radicals by reacting with acid (Reaction 2.41).

e−aq + H3O+GGGGGAH• (2.41)

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H• radical has the ability to readily reduce most inorganic ions that have more positive reduction potentials thanitself (See Reaction 2.22), but often at slower rates than the hydrated electrons.

The hydroxyl radical is a strong oxidizing agent and its maximum absorption wavelength is around 225 nm.Possessing such strongly oxidizing power, OH• radical is an undesirable species to have present in solution duringthe synthesis of metal nanoparticle by radiolytic reduction.

It is often desirable to modify the system to be totally oxidizing or totally reducing and this is achieved byadding solutes which convert specifically one of the primary products of the radiolytic reactions. For example, inorder to obtain a totally oxidizing system, the reactions are usually performed under a nitrous oxide atmospherethat acts as a scavenger for the hydrated electrons. The presence of nitrous oxide improves the oxidizing conditionby converting the e−aq into OH•.

N2O + e−aq + H2OGGGGGAOH− + N2 + OH• (2.42)

On the other hand, it is desirable to convert OH• to alcohol radicals in order to enhance the capacity for reductionfor metal particle synthesis. As OH• tends to oxidize the ions or the atoms into a higher oxidation state. It thereforehinders the formation of metal nanoparticles. For this reason, it is necessary to add an OH• radical scavenger,such as aliphatic alcohols and formic acids, to covert them to reducing species (Reaction 2.21 and 2.23). The RO•radicals, as oxidation product formed by OH• radical, is unable to oxidize the metal ions, but, in contrast, exhibitstrong reducing power.

ROH + OH•GGGGGARO•+ H2O (2.21)nRO•+ Mn+

GGGGGAM + R′ + nH+ (2.23)

Secondary radicals formed from the reaction of primary radicals are much less reactive than the hydrated electronbut can still lead to nanoparticle formation.

Direct absorption of radiation by the metal precursors can be neglected at concentrations less than 1 M [187].The main reactions involve hydrated electrons, hydrogen atoms and hydroxyl radicals. When the metal ions areexposed to these highly active electrons and radicals, colloids of zerovalent metal atoms are indeed formed, which

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subsequently coalesce to form nanoparticles.

e−aq + Mn+GGGGGAM(n−1)+ (2.43)

e−aq + M+GGGGGAM0 (2.44)

mM0GGGGGAM2 GGGGGA . . . Mm . . .GGGGGAMagg (2.45)

Mn+ represents multivalent metal ions, possibly complexed by a ligand. Reaction 2.43 demonstrates that multi-valent ions are reduced by multistep reactions. m is the number of aggregation of a few units and Magg is theaggregate in the final stable state. When two transition metal atoms encounter each other, a very strong energybond between these two atoms is developed to form a dimer. It is possible, however, that a dimer bond is formedbetween an atom and an excess ion:

M0 + M+GGGGGAM+

2 (2.46)

After a multi-step process, these species may coalesce into a cluster Mx+m (see Figure 2.18).

Polymer or surfactant molecules present in the system act as cluster stabilizers by providing electrostaticrepulsion and steric hindrance between nanoparticles (See Figure 2.11). Usually, these kind of molecules havea high affinity for metals which enables them to anchor to the cluster surface while the long chain prevents thecluster from coalescing with neighbors. Due to the presence of stabilizer, transfer of the electron from the solventto the metal ion may involve a transition state. The stabilizer molecules on the metal ion may act as bridges forelectron transfer.

The specificity of the radiation-induced synthesis of metal nanoparticles is due to its ability to generate radi-olytic species of strongly reducing potential, more negative than that of any ion and any charged cluster. This factrequires that the redox potential of the reducing agent is so negative that the free metal ions are generally reducedat each encounter. In addition to the reducing power of the radiolytic products, the features of the nuclearity-dependent potential play a crucial role in the progressive nucleation, coalescence and growth of nanoparticles.The mechanism of the growth process leads to the final structure and size of the metal nanoparticles. Becauseof the ability to transfer electrons more readily than the corresponding bulk metals, the redox potential of these

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micro-aggregates is lower than that of the bulk metals. In other words, the redox potential of metal atoms orclusters is determined by their size and it increases with nuclearity. The reactions of ion association with atoms orclusters (Mx+

m ) play an important role in the cluster growth by competing solvated electrons, hydrogen atoms andalcohol radicals with the free ions. This competition usually is controlled by the rate of reducing radical formation.At the same time, the growth process undergoes another competition with reverse oxidation by the solvent andradiolytic proton.

M0 + H+GGGGGAM+ + H• (2.47)

H•+ H•GGGGGAH2 (2.22)

This second competition may inhibit the overall reduction process and finally lead to failure to form stableparticles. It is preferable to scavenge the protons by adding a base to the solution and to favor the coales-cence [154, 188].

The radiolytic reduction method is perhaps most useful when enlarging colloidal metals or layering anothermetals over another to form core-shell type arrangements. The ratio of nucleation rate to growth rate determinesthe size and the number of nanoparticles. Usually, the redox potential of a free metal ion is much higher than thatof a metal ion already adsorbed on a surface. Thus, the nanoparticles formed previously may act as catalysts formetal ion reduction by interaction with radicals and stored electrons. This pathway provides a possible method toform core-shell structured bimetallic nanoparticles (Reaction 2.48 and 2.49) [186].

M′0 + M+GGGGGA (MM′)+

GGGGGAM0 + M′+ (2.48)

(MmM′n)x+ + M+

GGGGGA (Mm+1M′n)(x+1)+

GGGGGA (Mm+1M′n−1)x+ + M′+ (2.49)

In some cases, mixed coalescence and association of atoms can occur due to the control by the frequent encountersinstead of the differences of redox potentials after the individual atoms are formed. In these cases, the pathway is

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likely to build alloyed clusters [186].

M′0 + M0GGGGGA (MM′) (2.50)

(MM′) + MGGGGGA (M2M′) (2.51)

(MmM′n)x+ + M+

GGGGGA (Mm+1M′n)(x+1)+ (2.52)

(Mm+1M′n)(x+1)+ + e−aq/R•GGGGGA (Mm+1M′

n)x+/(Mm+1M′n)x+ + R+ (2.53)

Section 2.4Application of Sonophotocatalysis in Environmental Remediation

No one questions the notion that this century has seen a phenomenal growth in industrial and agricultural activitywhich has given rise to a significant increase in atmospheric and water pollution. We know with confidence whathas made disasters and health problems more serious than they had been before: the emission of waste chemicalsand green house gases from human industrial activity. World-wide awareness of the global environmental crisis isgrowing intensely on a daily basis.

A great many scientists keep the long-lasting wish of hunting for simple but efficient methods to deal withthe problems of a deteriorating human living environment, especially that of aqueous pollution. In line withthis environmental issue, over the last few decades, the novel photocatalytic properties of nanometer-sized TiO2,especially its surface and interfacial effects, quantum size effect and quantum tunneling effect, has attracted manygovernments to spend significant funds to support researchers on photocatalytic oxidation processes. This isbecause of the following properties of semiconductors: (i) inexpensive, (ii) non-toxic, (iii) high surface area, (iv)broad absorption spectra with high absorption coefficients, (v) tunable properties which can be modified by sizereduction, doping, sensitizers, etc., (vi) facility for multi-electron transfer processes and (vii) capable of extendeduse without substantial loss of photocatalytic activity [189].

Recently, the introduction of ultrasound to assist the photocatalytic degradation process has attracted con-siderable attention, as the photocatalytic oxidation was enhanced in the presence of the ultrasonic irradiation.

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Sonophotocatalytic reaction implies a sequential photocatalytic reaction and ultrasonic irradiation or the simul-taneous irradiation of ultrasound and UV light with a photocatalyst in the presence of oxygen or other chemicaloxidants. Power ultrasound induces chemical reactions and physical effects via highly active radicals which areproduced during the collapse of bubbles.

2.4.1. Sonolysis

Ultrasound, an efficient mean of activation in chemistry and elsewhere, has been employed for decades with variedsuccess. Sonochemistry shares with sustainable chemistry such aims as the use of less hazardous chemicals andsolvents, a reduced energy consumption and an increased product selectivity. It is a new and rapidly growing re-search field with broad environmental applications, such as waste water treatment, industrial waste treatment, etc.Sonochemical treatment typically operates at ambient conditions and does not require the addition of extra chem-icals. Sonochemistry has recently been classified as advanced oxidation process. The desirability of sonolysis forenvironmental remediation lies in its low maintenance requirements and the low energy efficiency of alternativemethods.

Since the sonolysis of an organic liquid was first reported [190] in 1953, it has been recognized that pow-erful ultrasound has great potential for use in a wide variety of processes in environmental science and alliedfields [72, 107, 191–193]. It is well known that the primary radicals produced during cavitation have the potentialto decompose organic molecules or act as essential intermediates for the degradation of pollutants. Thus, sonoly-sis has been looked upon as potential treatment which is capable of degrading the potentially hazardous chemicalcompounds such as chlorinated hydrocarbons, aromatic compounds, textile dyes, phenolic compounds and estersinto harmless substances, such as carbon dioxide and inorganic ions as final products.

There are a number of factors which are able to affect the sonochemical degradation in environmental reme-diation (shown in Figure 2.19). According to the mechanism of cavitation, there are a number of factors alreadymentioned that affect bubble cavitation (Section 2.1), such as ambient atmosphere, temperature, dissolved gases,pre-existing nuclei, frequency and intensity of ultrasound. All these factors can contribute to influencing theefficiency of sonochemical degradation for environmental remediation.

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Frequency

Pyrolysis

Pyrolysis

Radical AttackIntensity

Polluta

nts

H

Atmosphere

Dissolved Gases Pre-existing Nuclei

Alien Particles

Ions

H+/OH-

Vola

tile

Non-vo

latile

pH: H+/OH-

pH: H+/OH-

H

OHOH

Figure 2.19: The influence of a number of factors on sonolysis of organic pollutants.

The nature of ultrasonic irradiation plays an significant role in chemical decontamination, but the mode ofsonochemical degradation of organic compounds in aqueous solution is determined by these compounds’ physicaland chemical properties. Similar to the synthesis of metal nanoparticles, there are two ways in which the cavitationbubble can bring two conditions for the organic pollutants. If the chemical is volatile, this property enables it toenter into the bubble and be destroyed through the extreme conditions generated on collapse. In the case ofchemicals remaining in the aqueous phase, the cavitation bubble acts as a source of highly active radicals whichenter the bulk solution and attack the pollutants [10, 194]. A typical example is the research work of Singlaet al. [195, 196] on sonochemical degradation of benzoic acid. They investigated the influence of solution pHon the efficiency of sonolysis of benzoic acid in aqueous solutions and the results indicated that at two different

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pH values, the degradation of benzoic acid proceeded by different path ways. This is due to the fact that theneutral form of benzoic acid exhibits more volatile and surface active than its ionic form. The volatility propertyallows the compounds to evaporate into the cavitation bubble and decompose pyrolytically. The products underextremely high temperature are normally methane, ethane and acetylene. The surface active property enables thecompounds to contrate at the interface of bubble and water. This advantageous position enhances the encounterprobabilities with primary radicals, and consequently improves the rate of decomposition. With this pathway, theproducts are hydroxylated compounds, such as catechol and quinol.

In addition to the volatility and surface active properties, other properties of the organic pollutants can alsocontribute to the pathways of sonochemical decomposition by direct or indirect means, such as viscosity [197],molecular weight [198] and polarity, hydrophobicity [199]. These factors are capable of changing the molecularbehaviors of cavitation bubble in some extent and consequently affect the degradation processes.

The presence of some ions or molecules or solid particles also plays important role in sonolytic degradation oforganic pollutants. The addition of salt can be taken as an example. Addition of NaCl increases the ionic strengthof the aqueous phase which pushes pollutant molecules from the bulk aqueous phase toward the bubble interface.This provides an organic compound a greater chance to capture primary radicals and so be decomposed. At sametime, the presence of salt can decrease the vapor pressure and increases the surface tension [200–203]. Accordingto recent reports from Ashokkumar and coworkers [11, 81, 204], another possible reason is that the addition of salthas the effect of reducing the strength of the electrostatic repulsion between the charged surfactant-like organiccompounds and hence bring the bubbles closer, increasing the probability of coalescence which is likely to leadto enhanced degradation. In addition, the presence of Fe2+ [205–207] results in a faster reduction of organicpollutants as these ions can function as Fenton reactions.

Another group of interesting additives are chlorinated compounds which are able to drastically enhance theultrasonic degradation of organic pollutants [208–214]. This drastic enhancement is due to the formation ofadditional oxidizing species which is highly beneficial for the oxidation of non-volatile pollutant species. Apopular additive, carbon tetrachloride, can be taken as an example. The possible reactions in the cavitation bubbles

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demonstrating the role of CCl4 are shown below:

CCl4 )))) CCl3•+ Cl• (2.54)•CCl3 + O2 GGGGGA •OOCCl3 (2.55)

H2O + •OOCCl3 GGGGGACOCl2 + HOCl (2.56)Cl•+ Cl•GGGGGACl2 (2.57)Cl2 + H2OGGGGGAHOCl + HCl (2.58)

Under intensive ultrasonic irradiation, carbon tetrachloride is decomposed to release of Cl•, which is capable oftaking part in the desired reactions. In addition to being directly involved in an oxidation process, Cl• is likelyto form additional oxidizing agents, such as Cl2 and HOCl. These oxidizing intermediates are much more stablethan the free radicals and hence accelerate the oxidation of organic pollutants.

The addition of solid particles, such as TiO2 [215–221], ZnO [222], Al2O3 [223], exfoliated graphite [224,225], coal ash [226] even sand [227], have also attracted considerable interest in the environmental applicationof sonochemical degradation [228]. The mechanism for intensification is still poorly understood, but there areseveral possible contributions of the existence of particle to ultrasonic cavitation. The presence of solid particlescan supply crevices to provide additional nuclei; The rough wall of particles provides the sites for unsymmetricalcollapse, which can lead to the formation of bubble nuclei from the fragmentation of large bubbles; the frequentcollisions between the particles can enhance the mechanochemical activation of a particle surface; the existenceof particles can redistribute the ultrasonic field to increase the cavitational active volume; the oxygen vacancies onthe particle surface can also play an important role in producing cavitation bubbles, which lead to a greater OH•radicals formation and hence high decomposition efficiency.

2.4.2. Photocatalysis

Photocatalysis is mostly thought of in terms of the photodegradation of molecules initiated either by oxidative orby reductive processes. The big breakthrough, of course, came when Fujishima and Honda [229] showed how

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TiO2 would be used as photocatalyst for the decomposition of water in 1972. Soon after 1977 Frank and Bardexamined the possibilities of using TiO2 to decompose cyanide in water [230]. Since then, thousands of scientistshave made use of electron and hole transitions in semiconductor colloids and explored complicated aspects ofpollutant degradation on the surface of semiconductor particles. By recognizing how to degrade pollutants viasunlight, heterogeneous photocatalysis has proved to be of real interest as an efficient tool for degrading bothaquatic and atmospheric organic contaminants.

Heterogeneous photocatalysis, an emerging treatment technology, focuses on the acceleration of a photoreac-tion in the presence of a semiconductor photocatalyst. Titanium dioxide is close to being an ideal photocatalystdue to its advantages including the operation at ambient conditions and the possible use of solar irradiation, whilethe catalyst itself is relatively inexpensive, readily available, non-toxic and chemically stable (see Appendix B formore details). The articles by Hoffmann et al. [231], Fujishima et al. [232, 233] and Carp et al. [234] provide acomprehensive overview of photocatalysis for environmental applications.

2.4.2.1. Mechanism of Photocatalysis

Compared to the mechanism of ultrasonic irradiation, the highly reactive hydroxyl radicals are generated by thelight energy in the process of photocatalytic activity. Photocatalytic reaction is initiated when an electron excitedby the photon energy is promoted from the valence band of the semiconductor photocatalyst to the empty conduc-tion band and at same time leaves a hole in the valence band. This principle requires the energy of the photon isequal to or larger than the band gap of the semiconductor. It is well known that the minimum energy of the lightrequired to make the material electrically conductive is equal to the band gap energy of the semiconductor. Thethreshold or ideal wavelength λg corresponding to the bandgap energy Eg of most semiconductor catalysts can bedetermined by Equation 2.59:

λg(nm) =1241

Eg(eV)(2.59)

As the bandgap of the anatase TiO2 semiconductor catalyst is 3.2 eV, the threshold for the generation of electron-hole pairs can be calculated at 387 nm using the Equation 2.59. That means when TiO2 is exposed to light of

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wavelength λ ≤ 387 nm, the electrons from the valence band are promoted to the conduction band resulting inthe simultaneous generation of positive (oxidant) holes in the valence band. These holes can react with water toproduce highly reactive hydroxyl radicals (see Figure 2.20).

Photocatalyst TiO 2

CO2

H O 2

Radical

Conduction Band

Valence Band

Electron

Hole

Bandgap Eg=3.2 eV λ<387 nm

Organic Pollutants

HO2

O2 -

Figure 2.20: Schematic photocatalytic processes of photon activated TiO2 semiconductor in environmental re-mediation.

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The mechanism of photocatalysis involves the following reactions:

TiO2 + hν GGGGGA h+ + e− (2.60)h+ + OH−

GGGGGAOH• (2.61)h+ + H2OGGGGGAOH•+ H+ (2.62)

O2 + e− GGGGGAO2•− (2.63)O2•− + H+

GGGGGAHO2• (2.64)HO2•+ HO2•GGGGGAH2O2 + O2 (2.65)

Both the holes and the hydroxyl radicals are very powerful oxidants, which can be used to oxidize most organicmaterials. The redox potential for photogenerated holes is +2.53 V relative to the standard hydrogen electrode(SHE) [235]. After reaction with water, these holes can produce hydroxyl radicals, whose redox potential is onlyslightly decreased, but still more positive than that for ozone. The redox potential for conduction band electronsis -0.52 V [235], which is in principle negative enough to evolve hydrogen from water. As mentioned before, theOH• radicals are very reactive and attack the pollutant molecule to degrade it into mineral acids including carbondioxide and water.

2.4.2.2. Enhancements for Harvesting Light

Although photocatalytic degradation is one of the hot research areas in a variety of disciplines, almost all these re-searches have only one purpose: highly effective and efficient photocatalytic system [232]. Roughly all the effectscan be divided into four prominent classes: to make an improvement of the photocatalysts intrinsic properties,modification of the photocatalyst, optimization of working conditions and combine with an other advanced oxideprocesses (shown in Figure 2.21 with different background colors). Among all these enhancements, the upper halfof them in Figure 2.21 focus on the enhancement on the photocatalyst’s properties, such as maximization of lightabsorption and surface area enlargement and so on. It is worth noticing that all the enhancement in these fourcategories are not independent of each other. Once one factor changes, it is possible that another or several otherswill alter accordingly. It is therefore important to consider the relationship between these different parameters.

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Conduction Band

Valence Band

V

Fe(II)

OH•

OH2 •

H2 O

2

H2 O

2

Fe(III)

Particle Size

pH Adjustment

Presence of Other Ions

Flux Flow

LightTe

mpe

ratu

reO

xyge

n/G

as

Organic Pollutants

Ozone/HydroperoxideSonochemistryPhoto-Fenton

Biological Treatment

Electrochemical Treatment

Dye Sensitization

Template

Subs

trat

eCo

ncen

trat

ion

Metal Surface DopingCation/A

nion

Composite

Suspended/FixedCrystal Type

Particle Shape

Porous Structure

OH- H+Photocatalyst

Figure 2.21: Factors influencing photocatalytic activities of semiconductor photocatalyst in the application of envi-ronmental remediation can be classified into four categories, shown in four different background col-ors: (a) Cyan: natures of photocatalyst; (b) Red: modification of photocatalyst; (c) Green: conditionsduring photocatalytic degradation; (d) Yellow: combination with other advanced oxide processes.

The core part of photocatalytic reactions is the photocatalyst which plays an essential role in controlling the ef-ficiency of the whole procedure. Consequently, the synthesis of prominent photocatalyst was always significantlyhighlighted in the whole internal improvement. Based on the mechanism of photocatalysis, the photocatalyticactivity of the photocatalyst must be controlled by three basic factors: its light absorption property, the rates of re-

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duction and oxidation reactions and the recombination rate of holes and electrons. These factors are closely relatedto the intrinsic nature of a photocatalyst, such as particle size and shape, crystal type, the surface area [235–237].It is important to pave a road to make desirable photocatalyst with prominent properties.

Doping or implanting foreign elements in semiconductor nanoparticles are commonly used to enhance thephotocatalytic activity. These improvements include metal ion implantation, plasma irradiation, metal ion doping,cation doping, anion doping and the formation of new binary oxides, and so on [234, 238]. Dopants change thelattice thermal dynamics, electronic structures and photocatalytic properties of semiconductor photocatalyst. Thedopants might inhibit the recombination of charge carriers, mediate interfacial charge transfer, enhance the lightabsorption or extend the light absorption rang by narrowing the band-gap, and reduce the particle size or changethe phase composition. For example, the substitution of octahedrally coordinated Ti ions with a metal ion by metalion implantation or sputtering of TiO2 photocatalyst results in decreasing the energy gap for better utilization ofvisible light and solar radiation.

A broad range of research has been dedicated to investigating the influence of operation conditions (includingreactors) on the efficiency of photocatalytic processes. These effects include the reactor design, adjustment ofoperation conditions, different organic compounds, the initial concentration of pollutants, and so on [231, 239–241].

The category of external enhancement is concentrated on combining photocatalysis with another advancedoxidation process in order to attain a high performance system [242–244]. These combinations tend to improvethe photocatalytic degradation efficiency by shortening the reaction time in respect to the individual processesor cut the cost with respect of heterogeneous photocatalysis alone. These combined systems usually take oneprocesses’ potential advantages and enhance another deficiencies. Generally, these coupling systems depend onthe type of organic pollutants being decomposed. The most desired outcome is the synergistic effect which givesrise to an improvement of the efficiency of the photocatalytic process.

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2.4.3. Sonophotocatalysis

Among these oxidation techniques, the coupling system that combines photocatalysis with ultrasound irradiationis more attractive due to its effectiveness. The combination of photocatalysis with sonolysis is a recent advancedoxidation technique targeted at improving the photocatalytic process. A number of research groups have examinedthe combination of ultrasound and photocatalysis for environmental remediation [244–248]. The simultaneous useof both advanced oxide techniques for degradation of organic pollutants in aqueous solution can be more effectivethan their individual process.

According to the mechanism of sonolysis (see Reaction 2.8) and photocatalysis (see Reaction 2.60-2.62), boththese advanced oxide processes are effective in the application of environmental remediation due to the formationof the same species, OH• radicals. However, distinct mechanisms take effect in these two processes: photocat-alytic reaction may occur through direct electron transfer from the organic compounds to the semiconductor oxideand sonochemical degradation may selectively degrade less hydrophilic compounds through pyrolytic degradationand radical reactions. The evidence from products analysis have further confirmed the different pathways the twooxide process undergo. The specificity of each process, such as temperature and pH in the cavitation bubbles inultrasound irradiation and the presence of electron-hole pairs in photocatalysis, leads to the formation of differentintermediate products and different pathways.

The results of most studies show that ultrasonic oxidation is effective in the treatment of most liquid-phasepollutants but it is highly energy intensive and not economical when used alone, in particular, for decomposingcomplex pollutants or mixtures of pollutants. As mentioned in the Subsection 2.4.1, the solid-phase photocata-lyst nanoparticles may enhance the cavitation phenomenon by introducing additional nuclei and redistributing thesound field. In addition to the effect of photocatalyst particles, ultrasound also has the potential to form moreoxidizing agents, OH• radicals, from cavitation. When the two advanced oxidation processes are operated simul-taneously, more free radicals are likely to be available for the reaction with the pollutants and the synergistic effectis to increase the rates of reaction.

On the side of photocatalysis, the acceleration of reaction is determined not only by chemical effects of ultra-sound irradiation, but also by physical effects brought by the ultrasonic waves. The vibrating wave, the cleaning

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effect of ultrasound and its surface activation play important roles in the enhancement of catalytic reactions. Theeffectiveness of sonophotocatalysis can be highlighted as follows:

Ultrasound also provides an extra source of OH• from cavitation for the combined system;

The partial blockage of the active sites of the photocatalyst by the degradation intermediates can be inhibitedby the cleaning effect of ultrasound (acoustic cavitation generates a number of physical effects, such as shearforces, turbulence, micro-streaming, etc., which help regeneration the catalyst surface as the collapse of acavitation bubble near a solid surface can result in a high velocity jet of fluid directed towards the surface);

When the catalyst or the pollutant is in the form of a powder or an agglomerate, ultrasonic vibration is ableto disperse the material uniformly, thereby increasing the available surface area for reaction.

Ultrasound is able to enhance mass transfer towards the liquid-solid interface;

Ultrasound is capable of accerlerating the adsorption activity of reactant on the photocatalyst;

Sonication is likely to decompose the hydrophobic part of the pollutant compound, which is unlikely tooccur under photocatalysis.

For a given pollutant, normally it has hydrophobic and hydrophilic parts and both of them control the effectivenessof degradation. It is not easy for photocatalytic degradation to decompose the hydrophobic part of a molecule. Asthese hydrophobic parts tend to concentrate at the bubble surface, use of ultrasound is capable of degradating iteasily during cavitation. On the another hand, the hydrophilic parts can adsorbed on the surface of photocatalystand be decomposed by photocatalysis. As a result of these effects, ultrasound plays a profound role in the globalrates of the sonophotocatalytic process. In summary, sonophotocatalytic oxidation results in the elimination of themain disadvantages of photocatalytic process by ultrasonic induced physical turbulence.

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2.4.3.1. Sonophotocatalytic Degradation of Azo Dyes

The term azo dye is applied to those synthetic organic colorants which have the chromophoric azo group (−N=N−).The presence of residual color, high levels of electrolytes, toxic substances and cancer-suspect agents in azo dyewaste-water has drawn considerable attentions to mineralization of dyes which pose unacceptable environmen-tal risks. Numerous investigations have examined the mineralization of azo dye pollutants by ultrasound andphotocatalysis.

A number of different photocatalysts have been used in the sonophotocatalytic degradation of azo dyes in aque-ous solution, including TiO2 [249–251], Ag/TiO2 [252], TiO2-Na5PV2Mo10O40 [253], BiVO4 [254], ZnO [255].All of them contributed positive effects on the sonophotocatalytic degradation of organic pollutants in aqueoussolutions. A review of Reddy et al. deals with TiO2-loaded zeolites and mesoporous materials in the sonophoto-catalytic decomposition of aqueous organic pollutants and emphasize the photocatalyst support plays an importantrole in governing the whole degradation efficiency [256].

Similar to sonolysis (Figure 2.19) and photocatalysis (Figure 2.21), the factors of each processes have beensystematically investigated, such as initial concentration of organic pollutants, dosage of photocatalyst, pH , theexistence of iron ions, gas atmosphere, ultrasonic intensity and frequency, UV transmission and so on. All thefactors play the same role of individual process in the combined system. It is necessary to consider them carefullyto arrive at an overview point.

2.4.3.2. Sonophotocatalytic Degradation of Aromatic Compounds

Due to their wide use and potential hazardous risks, aromatic compounds gained interest for applying advancedoxidation processes for their elimination.

Because of the molecular structure, usually the aromatic compounds posses bipolarity: hydrophobicity andhydrophilicity. The sonophotocatalytic degradation of bisphenol A (BPA) can be taken as a good example [257].Under the ultrasonic irradiation or photocatalytic degradation, bisphenol A was decompose into hydrophobic andhydrophilic products. Thus, a combined system, consisting of sonolysis for hydrophobic and photocatalysis forhydrophilic, is a promising alternative for the complete elimination of the organic compound. Peller et al. arrived

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at the same conclusions during the degradation of chlorinated aromatic compounds [258].The concentration of photocatalyst plays an important role in the synergistic effect. The synergistic effect may

depend on the dosage of photocatalyst [257]. Because of its double function in photocatalysis and sonolysis, itis necessary to choose a certain concentration of photocatalyst in order to gain photocatalysis benefits from anultrasonic action without generating a detrimental effect on cavitation activities.

An interesting studies on the influence of Cl− anions on synergistic effects in a degradation process wascarried out by Chen et al [259]. The addition of salt can increase the ionic strength of the aqueous phase, whichdrives the organic molecules close to the bubble surface, where the primary radical are concentrated. The surfacetension is also able to affect the nucleation process and cavitational threshold. Consequently, the presence of Cl−

can enhance the overall sonochemical degradation rate. However, the existence of Cl− anions introduced majornegative effects on the photocatalytic process due to the undesirable Cl− ions which adsorbed onto the positivelycharged TiO2 particle surface at low pH and hence decrease the efficiency of photocatalytic degradation.

Although advanced oxide processes were found to be effective in mineralizing many organic compoundsreducing the potential toxicity and harm in many cases, they could also cause the formation of harmful by-productsin the effluent [250, 260]. Therefore, it is necessary to optimize the efficiency of the degradation process to insurea clean pathway during degradation of organic compounds. This requires attention not only on the economicsof the process but also on the final purpose of the whole advanced oxide procedure. The synergistic effects ofacoustics and photocatalysis have not been adequately explored and exploited, and the mechanisms involved arestill not completely resolved. In my doctoral research, the products analysis and the applications of ultrasound inenvironmental remediation focusing on the simultaneous or hybrid use of ultrasonic irradiation and photocatalysisin aqueous solutions, namely, sonophotocatalytic oxidation process, have been experimentally investigated.

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When the gong sounds ten in the morning and I walk to school by ourlane.Every day I meet the hawker crying, ”Bangles, crystal bangles!”There is nothing to hurry him on, there is no road he must take, no placehe must go to, no time when he must come home.I wish I were a hawker, spending my day in the road, crying, ”Bangles,crystal bangles!”. . . . . .

Vocation, Rabindranath Tagore

. . . . . .When I studied sonochemistry, I wish I were a hawker, spending my daysin the Victoria Market, crying, ”Bubble, bubble, single fresh bubble, onedollar each!”.. . . . . .

XH

3Experimental Details

This experimental chapter is divided into three sections, synthesis of metallic/bimetallic nanoparticles,electrocatalytic performance test and sonophotocatalytic degradation. The specific conditions for eachexperiment are described in the discussion chapters or stated in the captions of the corresponding figuresand tables.

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Section 3.1Synthesis of Metallic/Bimetallic Nanoparticles

The content of this section relate mainly to Chapter 4 and Chapter 5 that deal with the synthesis and characteriza-tion of metallic/bimetallic nanoparticles.

3.1.1. Materials

The metal precursor salts, ruthenium chloride (RuCl3) and potassium tetrachloroplatinate (K2PtCl4), were pur-chased from Sigma-Aldrich and used without further purification.

The stabilizers used in the metallic nanoparticle synthesis, polyvinyl-2-pyrrolidone (PVP, MW = 55,000) andpoly(sodium 4-styrenesulfonate) (PSS, MW = 70,000), were purchased from Sigma-Aldrich. Sodium dodecylsulfate (SDS) was purchased from BDH Laboratory Supplies (Merck Pty. Ltd.).

1-propanol (> 99.5% purity) was supplied by Lancaster. Perchloric acid (AR grade,> 70% purity) wasobtain from Sigma-Aldrich. Sodium borohydride (NaBH4) (> 96% purity) was purchased from BDH LaboratorySupplies (Merck Pty. Ltd.).

All chemicals were used as received without further purification. Ultra pure water (> 18.6 MΩ/cm at 25°C) provided by a Milli-Q system (Millipore) was used to make the respective aqueous solutions of requiredconcentrations.

3.1.2. Synthesis of Metallic/Bimetallic Nanoparticles

3.1.2.1. Sonochemical Synthesis

Sonochemical preparation experiments were conducted using an ultrasound transducer (L-3 Communications,ELAC Nautik GmbH, diameter of oscillator: 54.5 mm) at a series frequencies of 213, 355, 647 and 1056 kHz andoperated in continuous mode. Figure 3.1 displays the equipment for the preparation of nano-metallic particles. Thesonication vessel used to house the solution (250 mL) allowed the solution to be cooled to a constant temperature

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(23±3°C) by passing cold water through it continuously. Solutions were prepared to a total volume of 10 mLand placed in 15 mL vials fitted with rubber septa. Two vials were immersed together in the bulk liquid. Inorder to enhance the cavitation bubble temperature, argon gas was sparged through the solution for 15 min beforesonication and maintained above the solution throughout the experiments.

AG Series Amplifier T & C Power Conversion, Inc.

EDITOR

RF Output Edit Mode Source* ON OFF

* Freq Power

* AGC MGC

* EXT INT

AC ON

AC OFF

A B

Type USW:51-052 Werk-Nr:083

Mode No: 74051 8052 Jahr:2000

Freq. A: 213 kHz Freq. B: 647 kHz Leistung: max 200 w in 500hm DB 4h

Communications ELAC

ACHTUNGI Vor Inbetriebnahme Gebrauchsanweisung beachtenl

Amplifier for Ultrasonicator

Cooling Water

OUT

IN

Ultrasonicator

Argon Gas

Figure 3.1: Equipment for the preparation of metallic nanoparticles.

For work conducted at 20 kHz, a titanium horn with a stainless steel tip of length 5.5 cm and diameter of 2 cmwas employed. The horn was coupled to a Branson Digital Sonifer (Model 450-D). A 250 mL sonication vessel

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with water jacket was used to hold cold water. A 50 mL pyrex beaker was immersed in the bulk water.For work conducted at 630 kHz, the sonochemical synthesis experiments were carried out using an Ultrasonic

Energy Systems (Panama City, FL) setup. A specially designed glass vessel (approximately 700 mL) was attachedto the transducer with silicon rubber. The actual solution (10 mL) was placed in a 15 mL vial which was dipped ina 700 mL ice-water mixture (0 °C). All the experiments were carried out in a saturated argon atmosphere in orderto optimize the sonochemical reaction.

3.1.2.2. Chemical Synthesis

A fresh 5 mL aqueous solution of 150 mM sodium borohydride was made just before each synthetic experiment.A certain volume of this reducing agent NaBH4 was added with 10 µL on each addition with stirring. UV-visspectra were used to monitor the progress of synthesis after each addition of sodium borohydride. Slight heattreatment (80 °C) for 10 mins for each sample synthesized by the chemical method was carried out to remove anyremaining sodium borohydride.

3.1.2.3. Radiolytic Synthesis

A γ-ray source (Co-60) was used to synthesize PtRu bimetallic nanoparticles. The absorbed dosage rate appliedwas 0.0144 Gy/min and the solutions were irradiated as soon as prepared. Nitrogen was bubbled through thesolution for 30 min to remove oxygen, and the solution was irradiated under atmosphere pressure at ambienttemperature. For simultaneous radiolytic synthesis, the irradiation time was 60 min. For sequential radiolyticsynthesis, the Pt(II) precursor solution was first irradiated for 30 min and continued for another 30 min afteraddition of Ru(III) solution.

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3.1.3. Methods

3.1.3.1. Power Calibration

A calorimetric method was adopted to estimate the applied ultrasound power for each sonication experiment. A250 mL solution of Milli-Q water was sonicated for 1 min and the temperature changes recorded to calculate thepower absorbed by the solution. With the assumption that an increase in temperature originates from the ultrasoundand this is the only energy source, the ultrasound power and intensity can be approximated by considering thevolume of the solution and the area of the transducer plate, using the heat capacity of water.

3.1.3.2. UV-vis spectrophotometry

The sonication was stopped at various times and absorption spectra (190-1100 nm) obtained using a 1 mm quartzcell on a Varian spectrophotometer (Cary Bio50) in order to check the progress of the particle synthesis.

3.1.3.3. Transmission Electron Microscopy and Energy Dispersive X-ray

Transmission electron microscope (TEM) images of the sonochemically prepared metal colloids were obtained ona Philips CM-10 transmission electron microscope at a voltage of 100 kV. To obtain the TEM images, a single dropof the colloidal solution was deposited on a 3 mm carbon supported Cu grid. Higher-resolution characterization ofthe structure and morphology of the metallic/bimetallic nanoparticles was achieved using FEI Tecnai TF20 (FEICompany) transmission electron microscope operated at 200 keV. Energy-dispersive X-ray (EDX) analysis wasused to determine the elemental composition of the colloidal particles.

3.1.3.4. X-ray Photoelectron Spectroscopy

X-ray photoelectron spectroscopy (XPS) was used to detect the presence or absence of oxides on the surface ofbimetallic nanoparticles. XPS measurements were performed using an Axis Ultra spectrometer (Kratos Analytical

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Ltd., UK), equipped with a monochromatized X-ray source (Al Kα, hν = 1486.6 eV) operated at 150 W. Thespectrometer energy scale was calibrated using the Au 4f7/2 photoelectron peak at a binding energy of 83.98eV. Spectra were charge corrected with reference to a C-C species at 285.0 eV. Survey spectra were acquiredfor binding energies of 0 - 1200 eV, using a pass energy of 160 eV. The region spectra were acquired at a passenergy of 20 eV to obtain higher resolution. The peaks were fitted with synthetic Gaussian-Lorentzian componentsusing the Marquardt fitting procedure of CasaXPS and were quantified using the sensitivity factors for the Kratosinstrument. The analysis area was 700 µm × 300 µm. Several spots were analyzed on each surface to investigatesurface homogeneity and obtain representative results. Uncertainties for all fitted spectra were estimated to be ±10% of the measured atomic concentrations.

Section 3.2Evaluation of Electrocatalytic Performance

This section focuses on the experimental details pertaining to Chapter 5, which concerns the electrocatalyticperformance testing using cyclic voltammetry.

3.2.1. Material

Tetrahydrofuran (THF) and methanol (AR grade, > 99.9%) were purchased from Sigma-Aldrich. Sulfuric acid(H2SO4) was obtained from BDH Laboratory Supplies.

Carbon fiber paper (Toray paper) and conducting glass were purchased from Fuelcellstore. Both were cut into5 cm × 0.5 cm pieces.

3.2.2. Electrode Preparation

The metallic colloids were centrifuged at a speed of 10,000 r/min. The sample was subjected to repeated cyclesof washing and centrifuging to removed excess ions. The metal nanoparticles were extracted by removal of the

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top aqueous solution and finally dispersed in tetrahydrofuran (THF) to obtain an approximate concentration of 50µg/mL. An ultrasound bath was used to disperse the suspension for 10 min to obtain a uniform particle distribution.

Electrophoretic deposition was adopted to fabricate a fuel cell electrode assembly in order to prepare a uniformcover on the carbon Toray paper [261–263]. The electrophoretic deposition was operated in DC mode in a 100V/cm electric field supply by a Fluke 415 power supplier. The Toray electrode was kept at a distance of 4 mm froma counter electrode (a conductive glass electrode). The deposition of the nanoparticles could be visibly observedas the metallic nanoparticles were driven to the Toray paper electrode and the solution became colorless. Thedeposition area of the catalyst nanoparticles was restricted to 1.5 cm × 0.5 cm (total area: 0.75 cm2).

The electrodes were either dried in a normal atmosphere or in an oven at 100 °C and reduced pressure for 1hour prior to the electrocatalytic performance test.

3.2.3. Cyclic Voltammetry

Half cell reactions were carried out in a conventional three-electrode cell using Pt foil as the counter electrodeand a standard calomel electrode (SCE) as the reference electrode (shown in Figure 3.2). An electrolyte solu-tion containing 0.1 M H2SO4 was used to measure the electrochemical active surface area of the correspondingcatalyst. During the methanol oxidation experiment, a mixture of 1 M methanol and 0.1 M H2SO4 was used asthe electrolyte solution. Both of these solutions were sparged with nitrogen gas for 15 min to remove dissolvedoxygen from the solution.

Five consecutive linear potential sweep cycles at 50 mV/s for electrochemical active surface area determinationand 20 mV/s for methanol oxidation from -0.1 to 1 VSCE (relative to a saturated calomel reference electrode) wereused to stabilize the cyclic voltammetry curves.

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Working Electrode

Counter Electrode

Reference Electrode(SCE)

PtRu on Toray Carbon Paper

1.0 M Methanol0.1 M H2SO4

Figure 3.2: Three-electrode cell test device.

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Section 3.3Advanced Oxidation Process of Organic Pollutants

This section concerns the sonolytic, photocatalytic and sonophotocatalytic degradation of organic pollutants, cor-responding to Chapter 6 and Chapter 7.

3.3.1. Materials

Methyl orange (MO, GR) was purchased from Tokyo Chemical Industry Co., Ltd.. p-Chlorobenzoic acid (PCBA,> 97%) and p-aminobenzoic acid (PABA, > 99%) were obtain from Sigma-Aldrich. p-hydroxybenzoic acid(PHBA, > 99%) was purchased from BDH Laboratory Supplies (Merck Pty. Ltd.).

All chemicals were of analytical reagent grade and used without further purification. Selected physical andchemical properties of the compounds are listed in Table 3.1. For each degradation experiment, a 250 mL solu-

Table 3.1: Four organic pollutants using in advanced oxidation processes and their physical and chemical prop-erties.

Name MO PCBA PABA PHBA

Formula C14H14N3NaO3S C7H5ClO2 C7H7NO2 C7H6O3

StructureN N N

CH3

CH3

S

O

O

Na Cl

OH

O

NH2

OH

O

OH

OH

O

Molecular Weight 327.33 156.57 137.14 138.12Solubility soluble very slightly slightly slightlypKa1 3.2-4.4 3.98 2.42 4.58pKa2 - - 4.85 9.23

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tion containing 100 µM organic pollutant was used as the initial solution for the sequential advanced oxidationprocesses.

Degussa (P25) TiO2 was used as a photocatalyst and without further treatment. The loading of photocatalystwas based on the degradation requirements of each experiment.

The methanol (HPLC grade) used for mobile phase of high performance liquid chromatography was obtainedfrom Ajax FineChem. Trifluoroacetic acid (TFA, > 99%) was purchased from Sigma-Aldrich. Ammonium acetate(AR, > 98%) was obtained from BDH Laboratory Supplies (Merck Pty. Limited, Kilsyth, Australia).

Sodium hydroxide (NaOH) and perchloric acid (HClO4), used to adjust the solution pH value, were purchasedfrom Ajax Chemicals. A series of different concentration acid and alkali solutions were made to change thereaction solution pH in appropriate sized steps.

The reagents for determining the standard total carbon and inorganic carbon, potassium hydrogen phthalate(HOOCC6H4COOK) and sodium hydrogen carbonate (NaHCO3), came with the Total Organic Carbon Analyzer(Shimadzu).

For H2O2 yield measurement, ammonium molybdate tetrahydrate ((NH4)6Mo7O24·4H2O), sodium hydroxideand potassium hydrogen phthalate (KC8H5O4) were purchased from Ajax Chemicals. Potassium iodide (KI) wasobtained from Chem-Supply.

Commercial reagents used for HPLC confirmation experiments, aniline, phenol, quinol, catechol, fumaric acid,chlorobenzene and 4-chlorophenol, were purchased from BDH Laboratory Supplies (Merck Pty. Ltd.). 3-Chloro-4-hydroxybenzoic acid, 4-chlorosalicylic acid, benzoic acid, 3,4-dihydroxybenzoic acid, 3-hydroxybenzoic acid,2,5-dihydroxybenzoic acid, 3,5-dihydroxybenzoic acid, 3-chloro-4-hydroxybenzoic acid, 4-chlorosalicylic acid,and 4-aminosalicylic acid were obtained from Sigma-Aldrich.

3.3.2. Degradation

Sonophotocatalytic experiments were conducted in a 250 mL cylindrical pyrex vessel one side of which has aquartz plate. The equipment is shown in Figure 3.3. The sonication vessel used to house the solution (250 mL)was jacketed, allowing the solution to be cooled (23±3 °C) by passing cold water continuously through the jacket.

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An ultrasound transducer was placed on the bottom of the vessel and was powered by an amplifier set at theappropriate frequencies and acoustic powers.

AG Series Amplifier T & C Power Conversion, Inc.

EDITOR

RF Output Edit Mode Source* ON OFF

* Freq Power

* AGC MGC

* EXT INT

AC ON

AC OFF

Amplifier for Ultrasonicator

CATR17

16

18

1min X 100

0 1

14 12

A B

Type USW:51-052 Werk-Nr:083Mode No: 74051 8052 Jahr:2000

Freq. A: 355 kHz Freq. B: 1056 kHz

Leistung: max 200 w in 500hm DB 4h

Communications ELAC

ACHTUNGI Vor InbetriebnahmeGebrauchsanweisung beachtenl

Cooling Water

Ultrasonicator

BOTTOM IGNIOR DRIVE

ORIEL

TOP

A.C. SELECT INTERLOCK A.C. POWER

Power Supply for Lamp Arc Lamp

0 10 2

0 30 40 50 60

MODEL 68730DRIEL

0 200 400 600 800 1000 1200

POWEROUTPUT

OUTPUTPRE-ADJUST

ON

OFF

LAMPSTART

WATTS

VOLTS AMPS

ORIEL68820 UNIVERSAL POWER SUPPLY (400~1000 WATTS)

Figure 3.3: The equipment for sonophotocatalysis.

Photocatalysis experiments were performed in the same vessel as described above. A 450 W Oriel Model66021 xenon-arc lamp was placed next to the reaction vessel. The optical filter (cut-off wavelength 320 nm) whichcan transmit light from the light source was installed between the vessel and the lamp. During photocatalysis, thesonicator was switched off. Sonolysis experiments were carried out without light irradiation, but in the presenceof the TiO2 photocatalyst. During sonophotocatalysis, the solution was irradiated with both light and ultrasound.

Before each oxidation experiment, the solution was stirred with an overhead stirrer for 30 min to uniformlydisperse the photocatalyst in the aqueous mixture. During the whole degradation experiment, the stirring speedwas kept constant at 400 r/min. An benchtop pH meter (Extech Equipment Pty. Ltd.) was used to monitor thesolution pH for the whole experiment. NaOH and HClO4 were used to adjust the pH values.

Prior to analysis, the solution pH of each sample were adjusted to above 12 in order to minimize the adsorbed

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amount of organic pollutants on the surface of TiO2. All samples were filtered through a 0.45 µm PTFE membranesyringe filter (Gelman Science) to remove the suspended TiO2 catalyst particles.

3.3.3. Analytical Determinations

3.3.3.1. Sonoluminescence Intensity

A similar procedure to that of Ashokkumar and coworkers [11, 12, 196] was adopted to measure the sonolumi-nescence intensity. The same vessel and ultrasonic unit were used. A photomultiplier tube (PMT, Hamamatsu,detection range 350-600 nm) was mounted directly facing the quartz window of the reactor. 800 volts was appliedacross the PMT with a high voltage power supply. The sonication set and photomultiplier tube were housed in alight-proof enclosure to minimize background light. During the whole measurement, the temperature was kept at23±3 °C. The volume of the solution sonicated was 250 mL. The same volume as used in the advanced oxidationprocesses. Five experimental runs were carried out to obtain the average sonoluminescence intensity.

3.3.3.2. UV-vis spectrophotometry

A Varian spectrophotometer (Cary Bio50) was used to obtain the absorption spectra of various solutions in orderto monitor the progress of the sonolytic, photocatalytic and sonophotocatalytic degradation. The linearity betweenabsorption and concentration was tested using external standards of organic pollutants at various concentrationsbetween 10 and 100 µM. The response was found to be linear (with a correlation coefficient r2 > 0.99) over thewhole range of concentrations under consideration.

3.3.3.3. High Performance Liquid Chromatography

A computer controlled HPLC system (Shimadzu LC-10 AT VP system) comprising a solvent delivery pump,diode array, Shimadzu SPD-10 AVP UV-visible absorbance detector and an autosampler was used to record theorganic pollutants and their product concentration-time profiles. An Alltech Econosphere C18 5 u, 150 mm ×

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4.6 mm HPLC column was used to separate the degradation solution components. The whole HPLC system wasoperated in an isocratic mobile phase at 0.8 mL/min and temperature of 40 °C. For each compound, separationwas obtained under isocratic conditions using a set of parameters listed in Table 3.2. The injection volumes were20 µL and the detection was achieved with the diode array detector set at a certain wavelength range for eachsample. Quantification was based on the chromatograms taken using the Shimadzu Class-VP chromatographydata handling software. The linearity between absorbance and concentration was obtained by using calibrationstandards at various concentrations and the response was found to be linear over the whole range of concentrations.Blank samples were run between samples to ensure that no residues from the previous run were carried over tothe next run.

Table 3.2: The parameters of high performance liquid chromatography used during analysis of organic pollutantdegradation.

Compound Mobile Phase Flow Rate Detection Wavelength

MOMeOH:10 mM Ammonium acetate

1.0 mL/min 190-640 nm30:70 (v/v)

PCBAMeOH:0.1% TFA

0.8 mL/min 190-370 nm47:53 (v/v)

PABAMeOH:0.1% TFA

0.8 mL/min 190-370 nm5:95 (v/v)

PHBAMeOH:0.1% TFA

0.8 mL/min 190-370 nm55:45 (v/v)

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3.3.3.4. H2O2 Measurement

There is no better description of H2O2 determination than that from the laboratory record of Devi Sunartio [12](see Figure 3.4∗).

0.4 M KI0.05 M NaOH1.6×10-4 M (NH4)6Mo7O24.4H2O

0.1 M KHC8H4O4

A

B

Sonicated Sample

Iodide Reagent

Stir for 1 min

300 350 400 450

0.2

0.4

0.6

0.8

1

1.2

1.4

Wavelength (nm)

Abs

orba

nce

VA:VB=1:1

C

D

VC:VD=2:1

Figure 3.4: The procedure of H2O2 yield determination by absorption spectroscopy.

The mechanism is based on the assumption that all the OH• radicals generated during cavitation are able tooxidize the iodide ions into tri-iodide ions through consecutive multistep reactions.

H2O )))) H•+ OH• (2.8)OH•+ OH•GGGGGAH2O2 (2.13)

H2O2 + 2I-GGGGGA I2 + 2OH− (3.1)

I2 + OH−GGGGGA I−3 (3.2)

∗Adapted from the laboratory record of Devi Sunartio.

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The tri-iodide ions have a molar absorption coefficient of 2.64× 104 L mol−1 cm−1 at 353 nm (25°C). The actualconcentration of H2O2 assumed to be equal to the tri-iodide ion concentration can be spectrophotometricallydetermined by using the Beer-Lambert Law.

It is worth noting that the iodide reagent made by mixing solution A and B (see Figure 3.4) should be usedimmediately once mixed due to the fact that it is subject to oxidizing by dissolved oxygen.

3.3.3.5. Q-TOF LC/MS Analysis

Mass spectrometry was performed on an Agilent Technologies 6510 Accurate-Mass Q-TOF coupled with anAgilent 1100 Series HPLC system. This system is a LC/MS combined system.

Chromatographic separation of the degradation products was performed using an Eclipse Plus C18 column(Agilent Technologies, 4.6 × 50 mm). A gradient method was selected to separate the compounds (Solution A:0.1% TFA aqueous solution; Solution B: 95% acetonitrile containing 0.1% TFA). A time program was developedto linearly increase 5% to 100% of solution B for 6 min at a flow rate of 0.5 mL/min.

For the Q-TOF component, region scan mass spectra were recorded between m/z 25 and 1000 with a scan rateof 1.02 spectra/s in Auto MS/MS mode. The gas temperature was set at 325 °C. The collision energy was set toincrease linearly with a 2 V/100 Da and 10 V offset.

Data were acquired by Agilent MassHunter Workstation Software Acquisition and processed by AgilentMassHunter Workstation Software Qualitative Analysis.

3.3.3.6. Total Organic Carbon Analysis

A TOC-VCSH (Shimadzu) coupled with a TOC analyzer V (Shimadzu) software was used to determine the totalorganic carbon during each degradation process. An auto-sampler (ASI-V) was mounted to the TOC analyzer.Zero-degree compressed air was used to support the gas flow for analysis. The value of the TOC was deducedfrom the difference between total carbon (TC) and inorganic carbon (IC). The analyzer was calibrated for both TCand IC prior to each measurement.

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A Grain of Sand

A Grain of Sand To see a world in a grain of sand,And a heaven in a wild follower,Hold infinity in the palm of your hand,And eternity in an hour.

William Blake

To see a world in a single bubble,And a heaven in a sonication,Hold collapse in the finger of your hand,And eternity in your PhD.

XH 4Sonochemical Synthesis of Precious Metal

Nanoparticles

Section 4.1Introduction

Among the various applications of ultrasound, one significant application is the synthesis of preciousmetal nanoparticles as they play an important role in scientific research. Ultrasonic irradiation of aque-ous solutions containing precious metal ions is an effective method for the preparation of nanometersized metal colloids [118, 119, 182]. The sonochemical synthetic method has an advantage over other

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methods in generating nanoparticles of uniform shape and size [10, 72, 115]. Conventional preparation techniquesoften do not provide adequate and effective control of particle size and usually involve undesirable stabilizers forfurther applications. It is well known that ultrasonic irradiation of aqueous noble metal ion solutions results innanometer sized metal colloids [167, 179, 264, 265] with a relative narrow size distribution.

Bimetallic nanoparticles have attracted considerable attention in the field of nanotechnology as candidatesfor optical, electronic and catalytic applications, owing to the fact that one of the metal determines the surfaceproperties of the nanoparticles while the other may be responsible for specific functions. Composite Pt-Ru catalystparticles have attracted a considerable amount of attention in recent years as ruthenium helps to protect platinumcatalyst from CO poisoning [266–268] in fuel cells.

Currently, the processes responsible for the generation of noble metal nanoparticles by using ultrasound havenot been fully understood, mostly due to the lack of a detailed mechanism for this process. The aim of this chapteris to systematically investigate and clarify the formation mechanism of precious metallic or bimetallic nanoparti-cles during reduction using ultrasound. In order to gain a better understanding of the effective contribution of thesolutes during acoustic cavitation, a number of experimental parameters were varied to identify the role that eachcomponent plays in the reduction procedure.

Although the synthetic methods are quite similar, this chapter is divided into two parts. The first part includesSection 4.2 and Section 4.3 which focus on the synthesis of metallic colloids by ultrasound. A number of ex-perimental runs with variations in conditions were carried out in order to investigate the correlation between theefficiency of particle formation and morphology of the nanoparticles as a function of aqueous solution componentsand the influence of the preparation methods. Platinum and ruthenium preparation systems are addressed in thesetwo sections. It is well known that platinum nanoparticles are easily synthesized by sonochemical methods andthis field has attracted considerable attention [118, 120]. Thus, in this chapter the main emphasis will be paid tothe reduction of ruthenium. The synthesis of platinum is not the primary focus of this research and considered as areference for the following part dealing with the bimetallic system. As the whole procedure of the ruthenium syn-thesis is more complex than that of other noble metal particles, both chemical and hybrid methods were selected toclarify the perplexing problems met in the sonochemical reduction of ruthenium(III) solutions. UV-vis spectrome-try was used to monitor the whole sonication reduction process and transmission electron microscopy (TEM) was

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employed to observe the micromorphology of the sonicated compounds. X-ray photoelectron spectrometry (XPS)was used to investigate changes of the ruthenium oxide states.

The main content of the second part, consisting of the Section 4.4 is an investigation of the procedure ofthe synthesis of bimetallic nanoparticles through sonochemical reduction. Two different procedures, namely,simultaneous and sequential reductions, were followed during the sonochemical synthesis of these bimetallicnanoparticles. TEM images clearly shows evidence of a bimetallic core-shell structure with a platinum coresurrounded by a ruthenium shell. The sequential reduction method produces relatively higher yields of core-shellnanoparticles than the simultaneous reduction method. Additionally, the roles of alcohol and stabilizers acting inthe synthesis of precious metallic or bimetallic nanoparticles were investigated in this part.

Section 4.2Synthesis of Platinum Nanoparticles

A similar procedure to that reported by Caruso et al. [118, 120] was followed for the synthesis of platinumnanoparticles. The color of the aqueous solution containing K2PtCl4 and surfactant turned from pale yellow,originating from the PtCl2−

4 complex, to dark brown during sonication. The absorption spectra of an aqueoussolution of 1 mM K2PtCl4, 0.1 M HClO4, 8 mM SDS and 0.2 M 1-propanol over the wavelength range 200-800nm are shown in Figure 4.1. In the early stages of sonication, the absorbance in the UV region gradually decreaseddue to a decrease in Pt(II) ion concentration as a result of sonication. Concurrently the absorption in the longerwavelength region increased, indicating the formation of platinum nanoparticles. The increase in the slope ofabsorbance with irradiation time were attributed to two reasons. One is the formation of platinum which is able todisperse the light. Another is the increase of the sizes of existing platinum nanoparticles as bigger particles havecapacity of dispersing the longer wavelength light.

Figure 4.2a shows the TEM image of platinum nanoparticles prepared by ultrasound irradiation for 2 hours.The sonochemically synthesized platinum particles were found to be spherically shaped and well separated. Fig-ure 4.2b shows the particle size distribution of platinum nanoparticles synthesized by ultrasonication. Averagediameters of the particles prepared in the presence of PVP stabilizer and propanol were less than 5 nm. The sta-

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250 300 350 400 450 500 550 600 650 700 750 800

0

0.2

0.4

0.6

0.8

1

1.2

1.4

1.6

1.8

2

Wavelength (nm)

Abs

orba

nce

0 hour1 hour2 hours3 hours4 hours

Figure 4.1: UV-vis spectra observed during the sonochemical reduction of an aqueous solution of 1 mM K2PtCl4containing 0.1 M HClO4, 8 mM SDS and 0.2 M 1-propanol under an Ar saturated atmosphere. Theultrasound frequency used was 213 kHz and the total power was 35 mW/mL.

bilizer here can inhibit the aggregation of platinum nanoparticles and also act a source of scavenging of primaryradicals to form secondary radicals which accelerates the reduction of metallic ions. The propanol has the samefunction of scavenging the primary radicals. This function can prevent the recombination of hydrogen atoms andhydroxide radicals and improve the efficiency of metal nanoparticle synthesis.

With the high resolution of TEM image shown in Figure 4.3, it is easy to observe the crystal faces [111] and[200] of platinum nanoparticles. The lattice interfaces further confirm the formation of platinum nanoparticles byultrasound irradiation.

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(a) TEM micrograph of Pt nanoparticles.

1.5 2 2.5 3 3.5 4 4.5 50

2

4

6

8

10

12

14

16

Particle Size (nm)

Nu

mb

er o

f P

arti

cle

(b) Histogram for the size distribution of Pt nanopar-ticles.

Figure 4.2: TEM image of Pt colloids prepared by sonication of an aqueous solution of 1 mM K2PtCl4 containing1 mg/mL PVP + 0.4 M 1-propanol under an Ar saturated atmosphere. The ultrasound frequency usedwas 213 kHz and the total power was 55 mW/mL.

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[1 1

1]

[2 0 0]

2.3 Å

2.0 Å

[1 1 1]

[1 1 1]

[2 0

0]

2.3 Å

2.3

Å

2.0 Å

Figure 4.3: TEM image and crystal lattice of Pt nanoparticles prepared by sonochemical reduction of an aqueoussolution of 1 mM K2PtCl4 containing 1 mg/mL PVP and 0.4 M 1-propanol under an Ar saturatedatmosphere. The ultrasound frequency used was 213 kHz and the total power was 55 mW/mL.

Section 4.3Synthesis of Ruthenium Nanoparticles

The second metal nanoparticle synthesized by ultrasound irradiation was ruthenium. Compared to the synthesis ofplatinum particles, the preparation process for ruthenium particles is more complex than that of platinum. In order

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to understand the mechanism of the reduction process, in addition to the sonochemical preparation, both chemicalreduction of Ru(III) by sodium borohydride and a combination of sonochemical and chemical driven reductionwere also carried out under the same experimental conditions.

The following three sections focus on the synthesis of ruthenium nanoparticles by three separate processes.UV-vis spectrometry, transmission electron microscopy and X-ray photoelectron spectrometry were adopted tocharacterize the ruthenium nanoparticles prepared by these three methods.

4.3.1. Sonochemical Method

Sonochemical reduction of Ru(III) was conducted in an aqueous solution of 1 mM RuCl3, 0.1 M HClO4, 8 mMSDS and 0.2 M 1-propanol. As it is well-known that the rate of reduction of Ru(III) is sensitive to the ambienttemperature, the temperature of the sonicated solution was kept at 20±5°C. The initial absorption of Ru(III) hasthree characteristic peaks which corresponding to different hydrolyzed forms of ruthenium(III) chloride. Thewhole absorption spectra of Ru(III) is shown in Figure 4.4a. The peak with a maximum absorbance at 380 nmis related to [RuCl4(H2O)2]−, one of hydrolyzed forms of ruthenium(III) chloride. The 560 nm absorption peakcorresponds to the [RuCl(H2O)5]2+. The absorption band around 450 nm is attributed to two of the hydrolyzedforms, [RuCl3(H2O)3] and [RuCl2(H2O)4]+ [269–271].

[RuCl4(H2O)2]− GGGGBFGGGG [RuCl3(H2O)3] GGGGBFGGGG [RuCl2(H2O)4]+ GGGGBFGGGG [RuCl(H2O)5]2+ (4.1)

After 13 hours, the three Ru(III) characteristic peaks at 560, 450 and 380 nm, slowly disappeared due to thereduction of Ru(III) (Figure 4.4a). The dark red solution of Ru(III) gradually changed into yellow in a matter ofhours. In addition to the disappearance of the three peaks mentioned above, a small ”hump” around 300 nm ap-peared after 13 hours irradiation and persisted after even longer sonication times. The following Subsections 4.3.3and 4.4.2, will discuss this perplexing phenomenon during the reduction of ruthenium(III) chloride.

It is well known that the frequency of ultrasonic irradiation is one of the most significant factors that has greatimpact on the cavitation activity and on metal ion reduction [132]. The reduction of ruthenium at different fre-quencies was carried out to determine if any frequency affects the reduction rate. A plot of the changes in the

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250 300 350 400 450 500 550 600 650 700

0

0.1

0.2

0.3

0.4

0.5

0.6

Wavelength (nm)

Abs

orba

nce

0 hour1 hour3 hours7 hours10 hours13 hours

(a) Absorption spectra changes of Ru(III) ions during the213 kHz ultrasound irradiation.

20 213 355 647 10560

0.2

0.4

0.6

0.8

1

1.2

1.4

1.6

1.8

Frequency (kHz)

Red

uct

ion

Rat

e (µ

M/m

in)

(b) Rate of Ru(III) reduction as a function of ultrasound fre-quency.

Figure 4.4: UV-vis spectra and Ru(III) reduction rates observed during the sonochemical reduction of an aqueoussolution of 1 mM RuCl3 containing 0.1 M HClO4, 8 mM SDS and 0.2 M 1-propanol under an Arsaturated atmosphere. The ultrasound frequencies used were 20 kHz, 213 kHz, 355 kHz, 647 kHzand 1056 kHz. The total power of all frequencies was 35 mW/mL.

absorbance of the 450 nm band as a function of sonication time at different frequencies is plotted in Figure 4.4b.With an extinction coefficient value of 3068 L/mol cm for the 450 nm absorption band, the different rates of re-duction of the Ru(III) at 20 kHz, 213 kHz, 355 kHz, 647 kHz and 1056 kHz were compared in Figure 4.4b. Theoptimum frequencies for sonication are 213 kHz and 355 kHz, consistent with experimental investigation on theeffects of ultrasound frequency on sonoluminescence, yield of H2O2 and ultrasonic synthesis of gold nanoparti-cles [132]. Kanthale et al. [272] conducted a numerical study on the influence of ultrasound on the H2O2 yield.

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The average bubble temperature and the number of active bubbles play a key role in determining the extent ofthe sonochemical reactions. At the same acoustic power, the number of active bubbles increases significantly asthe irradiation frequency increases. However, the average size of the collapsing bubbles, which determine themaximum temperature Tmax (see Equation 2.6), follows the opposite trend. It is important to balance these twofactors to achieve the maximum sonochemical efficiency. An intermediate number of active bubble and not toolow a Tmax for collapsing bubbles contribute to the outcome that 214 kHz and 355 kHz are the optimal frequencies.

Transmission electron microscopy was adopted to characterize the nanoparticles prepared by the sonochemicalmethod. Figure 4.5a is the TEM image of the colloids after 5 hours of sonication of a Ru(III) ion solution and theFigure 4.5b shows the particle size distribution obtained. The image reveals that the diameters of the nanoparticlesare uniform and the size ranges from 2 to 3 nm.

In order to follow the changes to the ruthenium oxidation states, X-ray photoelectron spectroscopy was usedto observe the shifts of binding energy after ultrasound irradiation. It is well know that XPS of Ru compounds isnot an easy task as the Ru 3d signals share the same energy range as that of the C 1s peak, while the Ru 3p levelsare typically broad and insensitive to changes in the ruthenium chemical environment. Throughout this work, both3d and 3p regions of ruthenium were collected for each specimen because an estimation of the overall Ru 3p and3d is useful in verifying the accuracy of each other in the curve fitting of the (Ru 3d + C 1s) envelope and Ru 3p.

As it is known that the 3d of ruthenium and 1s of carbon overlap at the same energy bond range from 279 eV to292 eV, the ruthenium(III) ion solution was irradiated by ultrasound without the stabilizer PVP which contributesthe enhancement of the C 1s peak intensity. Figure 4.6 shows the overlapped corresponding peak marked by C1s. The intensity of C 1s peak still has a strong impact on the analysis of Ru 3d due to the progressive coverageby adventitious carbon and the remains of hydrocarbon compounds of initial precursor.

The main peaks observed in the XPS spectrum of the sonochemically irradiated sample are C 1s, Ru 3d and Ru3p peaks, centered at 285, 279-292 and 458-492 eV, respectively. After a fitting treatment of these curves, severalconclusions can be drawn from the XPS spectrum. It can be seen from Figure 4.6b that the irradiated rutheniumcompound contains a characteristic peak at 286.2 eV corresponding to Ru(III) 3d3/2 [273, 274]∗, which suggests

∗To investigate the influence of ultrasonication on the oxide states changes of ruthenium, a XPS analysis of standard Ru(III) chloridewas done as a reference spectrum.

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(a) TEM micrograph of ruthenium based nanoparti-cles prepared by ultrasound.

1.8 2 2.2 2.4 2.6 2.8 3 3.2 3.4 3.60

2

4

6

8

10

12

14

Particle Size (nm)

Nu

mb

er o

f P

arti

cle

(b) Histogram for the size distribution of rutheniumbased nanoparticles.

Figure 4.5: TEM image of Ru colloids prepared by sonochemical sonication of an aqueous solution of 1 mMRuCl3 containing 1 mg/mL PVP + 0.4 M 1-propanol under an Ar saturated atmosphere. The ultra-sound frequency used was 213 kHz and the total power was 55 mW/mL.

that the coordination surroundings of the Ru atom remain almost in the same state as that before ultrasonication.However, compared to the peak of Ru(III) 3d3/2, the shoulder of the peak at 286.2 eV is broader, which indicatesthe presence of Ru(IV) 3d3/2. The binding energy of Ru(IV) 3d5/2 is 282.6 eV [274, 275] slightly shifting fromRu(III) 3d3/2. The same thing happens with Ru 3p (shown in Figure 4.6c). The fact that the main peaks of Ru 3d

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Na 1s

O 1s

C 1s

Ru 3pSi 2s

Si 2pNa 2s

Binding Energy (eV)1200 1000 800 600 400 200 0

0

20

40

60

80

× 103

Inte

nsity

(CPS

)

(a) The full X-ray photoelectron spectrometry spectrumof the ruthenium(III) chloride after ultrasonic irradi-ation.

XPS Spectrum

Peak Fitting

C 1s C-O

C 1s C-C/H

Binding Energy (eV)300

Inte

nsity

(CPS

)

296 292 288 284 280

800

1600

2400

3200

4000

Ru 3d3/2

Ru(III)

Ru(IV)

Ru 3d5/2

C 1s

(b) The Ru 3d + C1sX-ray photoelectronspectrum of the ruthe-nium(III) chloride afterultrasonic irradiation.

Binding Energy (eV)496

Inte

nsity

(CPS

)

488 480 472 464 456

1400

1600

1800

2000 Ru 3p1/2

XPS Spectrum

Peak Fitting

Ru 3p3/2

Ru(III)

Ru(IV)

(c) The Ru 3p X-ray pho-toelectron of the ruthe-nium(III) chloride afterultrasonic irradiation.

Figure 4.6: X-ray photoelectron spectrometry survey scan of the ruthenium compound nanoparticles: XPS spec-trum observed after 7 hours sonochemical reduction of an aqueous solution of 1 mM RuCl3 containing0.4 M 1-propanol under an Ar saturated atmosphere. The ultrasound frequency used was 213 kHzand the total power was 55 mW/mL.

and 3p appear at the same position of Ru(III) reveals that main oxides of the sample after ultrasonic irradiation isthe +3 state. According to the XPS binding energy peaks, no signal for the metallic ruthenium could been seen.This indicates that ultrasound is unable to change Ru oxide states from Ru(III). There is a minor portion of Ru(IV)compounds, in agreement with the literature [273, 276] that commercial RuCl3 contains a variety of oxochloroand hydroxochloro species of variable oxidation states. Another reason of the presence high oxide state is mostprobably due to exposure to the air during transfer [277].

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RuO4-RuO4 RuO4

2- RuCl5OH2- RuCl52- Ru2+ Ru0.9 1.6 1.75 1.3 0.3 0.45

1.5 0.6+8 +7 +6 +4 +3 +2 0

Standard Reduction Potentials (E∅/V)

1.25 0.4 (4.2)

These XPS spectrum proved that the nanoparticles we reported in the paper [278] were ruthenium oxochloroand hydroxochloro species instead of ruthenium nanoparticles. The reason for the slow reduction of Ru(III)ions by ultrasound is perhaps due to the higher reduction potentials of the metallic ions in its hydrolyzed forms.Reaction 4.2 [279] shows the reduction potentials of each step from the +8 oxide state to the metallic state.However, the observations from XPS spectra indicate that Ru(III) intends to form more stable RuClxOy compoundin an aqueous environment. Although it is well-known that during bubble collapse, extremely high pressureand temperature inside the bubble lead to the formation of active H• and OH• radicals (see Equation 2.8) andconsequent secondary radicals, which play a key role in initializing the reduction of metal ions in aqueous solution.The ruthenium ion in aqueous solution seems beyond the capacity of these active radicals. In order to form theruthenium zero-state nanoparticles, it is necessary to go through an alternative pathway under the ultrasoundirradiation.

4.3.2. Chemical Method

In order to reveal and understand the process of Ru(III) reduction by ultrasound irradiation, sodium borohydridewas used as a reductant to covert Ru(III) ion to Ru(0) nanoparticles. The same solution mentioned in the subsec-tion 4.3.1 was mixed dropwise with 150 mM sodium borohydride until the three characteristic peaks of Ru(III)totally disappeared indicating the completion of ruthenium colloid formation. Figure 4.7 shows the rutheniumcolloids reduced by chemical synthesis. The particle size of ruthenium obtained by the chemical method is lessthan 4 nm, which is slightly larger than the particles synthesized by the sonochemical process.

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(a) TEM micrograph of Ru nanoparticles reduced bysodium borohydride.

1.8 2 2.2 2.4 2.6 2.8 3 3.2 3.4 3.60

2

4

6

8

10

12

Particle Size (nm)

Nu

mb

er o

f P

arti

cle

(b) Histogram for the size distribution of Ru nanopar-ticles.

Figure 4.7: TEM image of Ru colloid deoxidized by chemical methods: a 10 mL aqueous solution of 1 mM RuCl3containing 1 mg/mL PVP + 0.4 M 1-propanol was reacted with 120 µL of 150 mM sodium borohydride.

In comparison with the XPS spectrum of the ultrasonicated sample (Figure 4.6a), the signal of ruthenium3p reduced by sodium borohydride 4.8a is much stronger. After the curve fitting process, the signal of Ru 3d5/2

appeared at 282.1 eV (shown in Figure 4.8b), which corresponds to Ru(III). It is obvious that there is only asmall amount of Ru(III) species on the surface of the chemically reduced sample, perhaps attributable to oxidationon the surface. A larger and new signal appeared at 280.6 eV that can be ascribed to ruthenium oxychloride

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Na 1s

O 1s

C 1s

Ru 3p

Ru 3d

Si 2s Si 2p

Binding Energy (eV)1200 1000 800 600 400 200 0

20

40

60

× 103

Inte

nsity

(CPS

)0

80

100

(a) The full X-ray photoelectron spectrometry spec-trum of the ruthenium(III) chloride after reactingwith excess sodium borohydride.

Inte

nsity

(CPS

)

8000

0

2000

4000

6000

Binding Energy (eV)300 296 292 288 284 280 276

XPS Spectrum

Peak Fitting

C 1s C-O

C 1s C-C/H

Ru 3d3/2

RuClxOy

Ru(III)

Ru 3d5/2

+C 1s

Ru(0)

(b) The Ru 3d + C1sX-ray photoelectronspectrum of the ruthe-nium(III) chloride aftermixing with excesssodium borohydride.

Inte

nsity

(CPS

)

1600

2400

2800

2000

Binding Energy (eV)496 488 480 472 464 456 448

3200

3600

4000 XPS Spectrum

Peak Fitting

Ru(0)

Ru 3p1/2

Ru 3p3/2

RuClxOy

(c) The Ru 3p X-ray pho-toelectron of the ruthe-nium(III) chloride af-ter mixing with excesssodium borohydride.

Figure 4.8: X-ray photoelectron spectrometry survey scan of the ruthenium compound nanoparticles: XPS spec-trum observed after a 10 mL aqueous solution of 1 mM RuCl3 containing 0.4 M 1-propanol reactedwith 120 µL of 150 mM sodium borohydride.

RuClxOy [277, 280]. The above results demonstrate that a fraction of the initial ruthenium is forming rutheniumoxychlorides, which is sufficiently stable not to react with the stronger reductant, sodium borohydride.

The interesting point is that stronger Ru 3d3/2 and 3d5/2 signals appear at 280.1 and 283.7 eV respectively,which can be assigned to Ru(0) [275, 277, 281]. It is obvious that among the three ruthenium species, the Ru(0)dominates the whole spectrum of 3d. The same conclusion can be deduced from the deconvoluted spectra of Ru3p (Figure 4.8c). Both Ru 3p3/2 and Ru 3p5/2 peaks consist of the corresponding contributions from metallic

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ruthenium and oxychloridic ruthenium. The reduction potential of sodium borohydride is insufficient to transformruthenium oxychloridic ions into the metallic form as this compound seems to interact strongly with the materialsupport.

The chemical reaction steps involved in the reduction of ruthenium metallic ions have not been completelyresolved. Further study of the formation of ruthenium oxychlorides is needed in the future.

4.3.3. Hybrid Method

An attempt to clarify the changes of ruthenium oxide state was carried out by ultrasonic irradiation then followedby chemical reduction. As mentioned in Subsection 4.3.1, the UV-vis spectra of 13 hours sonicating Ru(III) ionaqueous solution show the presence of a band around 320 nm, which remains even after prelonged irradiation.

After adding the sodium borohydride solution, the band disappeared indicating the transformation of the oxidestates of ruthenium. The TEM image in Figure 4.9 shows there is no significant particle size change before (seeFigure 4.5a) and after (see Figure 4.9a) chemical reduction.

Figure 4.10a and 4.10b present the Ru 3d and 3p XPS profiles respectively for the sonicated sample afterfurther reduction by sodium borohydride. It is obvious that owing to the addition of the stronger reductant, theRu 3d and 3p doublets shift a small distance toward lower binding energy due to the reduction of ruthenium. Thedisappearance of the peak at 282.6 eV indicates that the +4 oxide states has been completely reduced. Although theruthenium(III) species at 282.1 eV for 3d5/2 and 286.2 eV for 3d3/2 are also present, the fraction of this rutheniumoxide is dramatically reduced compared to the sonicated sample (see Figure 4.6b). The small shift , attributedto a reduction effect, is confirmed to be the Ru zero-state species. After reduction with sodium borohydride, theXPS spectra of the ultrasonic prepared compound reveal a new Ru 3d doublet at a binding energy of 283.7 eVfor 3d3/2 and 280.1 eV for 3d5/2 corresponding to metallic ruthenium nanoparticles. It is remarkable that thepeak of ruthenium oxychloride at 280.6 eV which appears in the chemically prepared sample is still present withthe hybrid reduced sample. The ruthenium oxychloridic forms are not reduced in the presence of excess sodiumborohydride due to this compound interacting strongly with the material support.

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(a) TEM micrograph of Ru nanoparticles preparedby the hybrid method.

1.5 2 2.5 30

2

4

6

8

10

12

14

Particle Size (nm)

Nu

mb

er o

f P

arti

cle

(b) Histogram for the size distribution of Ru nanopar-ticles prepared by the hybrid method.

Figure 4.9: TEM image of Ru colloid prepared by sonochemical sonication of a 10 mL aqueous solution of 1mM RuCl3 containing 1 mg/mL PVP + 0.4 M 1-propanol under an Ar saturated atmosphere followingreaction with 80 µL of 150 mM sodium borohydride. The ultrasound frequency used was 213 kHz andthe total power was 55 mW/mL.

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Binding Energy (eV)300 296 292 288 284 280 276

Inte

nsity

(CPS

)

5000

1000

2000

3000

4000

6000

XPS Spectrum

Peak Fitting

C 1s C-O

C 1s C-C/H Ru 3d3/2

Ru(III)

Ru 3d5/2

+C 1s

Ru(0)

RuClxOy

(a) The Ru 3d + C1s X-ray photoelec-tron spectrum of the ruthenium(III)chloride after reduction by the hy-brid method.

Inte

nsity

(CPS

)

1600

2400

2800

2000

3200

Binding Energy (eV)496 488 480 472 464 456 448

XPS Spectrum

Peak Fitting

Ru(0)

Ru 3p1/2

Ru 3p3/2

Ru(III)

RuClxOy

(b) The Ru 3p X-ray photoelectron ofthe ruthenium(III) chloride after re-duction by the hybrid method.

Figure 4.10: X-ray photoelectron spectrometry survey scan of the ruthenium compound nanoparticles: XPSspectrum observed after 7 hours sonochemical reduction of a 10 mL aqueous solution of 1 mMRuCl3 containing 0.4 M 1-propanol under an Ar saturated atmosphere followed by a sequential re-duction with 80 µL of 150 mM sodium borohydride. The ultrasound frequency used was 213 kHzand the total power was 55 mW/mL.

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Section 4.4Sonochemical Synthesis of Platinum-Ruthenium Bimetallic Nanoparticles

Composite Pt-Ru catalyst nanoparticles have attracted a considerable amount of attention in recent years as a cat-alyst in direct methanol fuel cells (DMFC) (see Chapter 5) and other optoelectronic and catalytic applications. Inthe realm of optoelectronic applications, metal nanoparticles have interesting size and shape dependent optical andelectronic properties that can be suitably modulated by the addition of another metal. For catalytic applications,the expectation is that they will have better catalytic properties than the component metals alone or even have newproperties.

Furthermore, it is well known that the catalytic performance of direct methanol fuel cells strongly depends onthe size of the precious metal catalyst particles. It is well established that ultrasonic irradiation of aqueous noblemetal solutions results in nanometer sized metal colloids.

In this section, two methods were adopted to prepare platinum-ruthenium bimetallic nanoparticles: (i) simul-taneous reduction of the precursor metal ions and (ii) sequential reduction of the precursor ions. The latter usuallygives rise to core-shell structures.

4.4.1. Simultaneous Method

Figure 4.11 shows the UV absorption spectra of platinum-ruthenium bimetallic colloid prepared by simultaneoussonochemical irradiation. An aqueous solution of 1 mM K2PtCl4, 1 mM RuCl3, 0.1 M HClO4, 8 mM SDS and0.2 M 1-propanol was used to prepare the platinum-ruthenium bimetallic nanoparticles.

The presence of alcohols here can enhance the metal ion reduction process, as the reaction of alcohols with theprimary radicals generates secondary reducing radicals. There are two explanations to demonstrate the catalyticfunction of alcohols. First, it is well known that acoustic cavitation leads to the formation of highly reactiveH• and OH• (see Equation 2.8) radical species in aqueous solution. The presence of alcohols around cavitationbubbles is able to inhibit the recombination of these two active primary radicals. The hydrogen radical may reactdirectly with metal ions in bulk solution to reduce to metallic particles (see Equation 2.20) and a proportion of

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250 300 350 400 450 500 550 600 650 7000

0.05

0.1

0.15

0.2

0.25

0.3

0.35

0.4

Wavelength (nm)

Abs

orba

nce

0 hour1 hour3 hours4 hours5 hours7 hours

(a) UV-vis spectra observed during the simultaneous sonochemi-cal reduction.

Figure 4.11: UV-vis spectra observed during simultaneous sonochemical reduction of an aqueous solution of 1mM K2PtCl4 and 1 mM RuCl3 containing 0.1 M HClO4, 8 mM SDS and 0.2 M 1-propanol under anAr saturated atmosphere. The ultrasound frequency used was 213 kHz and the total power was 35mW/mL.

the hydroxyl radicals may be scavenged by added organic solutes, such as surfactants and alcohols, to generatethe secondary radicals (see Equation 2.21). In the latter case, the alcohol converts OH•, which has no potential toreduce the metallic ions, to the highly reductive alcohol radicals. Thus, it is necessary to add alcohol to accelerateand enhance the reduction process of the metallic ions.

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H2O )))) H•+ OH• (2.8)ROH )))) H•+ OH•+ R•+ RO•+ O (2.20)

ROH + OH•/H•GGGGGARO•+ H2O/H2 (2.21)

Based on the UV-vis spectrum, the same three characteristic peaks at 560, 450 and 380 nm mentioned inSubsection 4.3.1 in the visible region of the spectrum arising from RuCl3, appeared in the initial absorptionspectrum. After sonicating for 7 hours, the solution turned dark brown and the three peaks gradually disappearedimplying that Pt(III) and Ru(III) had been reduced to Pt(0) and Ru(0) respectively. Obviously, the reduction ratefor Ru(III) in the presence of Pt(0) is much faster than that of the reduction of Ru(III) alone. Within four hours,nearly all of the above mentioned absorption bands had disappeared, and a clear brown solution was obtained.

It has been concluded that Pt nanoparticles, which are formed first, play an important role in catalyzing theformation of Ru nanoparticles [265]. Precious metal nanoparticle colloids act as a sink for excess electrons, andthese electrons can initiate reduction of other solutes. The platinum colloids can act as nanoelectrodes, and elec-trons are transferred to the platinum surface from the reducing radicals produced by the propanol and surfactantduring sonication. The overall accelerated reduction rate of Ru(III) can be attributed to the existence of excesselectrons on the surface of the Pt nanoparticles donated by the reducing alcohol radicals produced by sonoly-sis. The changes in the absorption spectrum also indicate that the reduction of the Ru(II) occurs simultaneouslywith the reduction of Pt(II). The faster reduction rate for Pt(II) relative to Ru(III) means that colloidal platinumnanoparticles are preferentially produced which eventually accelerate the formation of zerovalent ruthenium.

Figure 4.12a shows the TEM image of the bimetallic nanoparticles obtained from simultaneous sonication.According to the TEM image of the particles, the bimetallic colloids seem to be a mixture of 3-15 nm diameternanoparticles (shown in Figure 4.12b). The larger particles are most likely ruthenium particles and the smallerones are platinum particles. This is consistent with our experimental observations that the sonochemical reductionof platinum(II) to produce platinum colloids is substantially faster than the similar reduction of ruthenium(III) andthat faster reduction rates results in smaller particle sizes. It is known that the nucleation process plays a key role

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in determining the particle size. Okitsu et al. has used the formation of gold nanoparticles to demonstrate thedependence of particles size distribution on the rate of sonochemical reduction [132, 133].

20 nm

(a) TEM micrograph of PtRu bimetallic nanoparticles preparedby simultaneous sonochemical reduction.

0 5 10 15 200

2

4

6

8

10

12

Particle Size (nm)

Nu

mb

er o

f P

arti

cle

(b) Histogram for the size distribution of PtRubimetallic nanoparticles prepared by si-multaneous sonochemical reduction.

Figure 4.12: TEM image of PtRu bimetallic nanoparticles prepared by simultaneous sonochemical reduction ofan aqueous solution of 1 mM K2PtCl4 and 1 mM RuCl3 containing 0.1 M HClO4, 8 mM SDS and 0.2M 1-propanol under an Ar saturated atmosphere. The ultrasound frequency used was 213 kHz andthe total power was 35 mW/mL.

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4.4.2. Sequential Method

The sequential sonolysis was carried out in order to elucidate the catalytic role of the presence of platinum nanopar-ticles during the reduction of ruthenium(III) ions. 213 kHz ultrasound initially was applied to the tetrachloroplati-nate solution containing 1 mg/mL PVP, 0.2 M propanol and 0.1 M HClO4 to produce colloidal platinum. From thestart to 1 hour, when all of K2PtCl4 had been completely reduced, the pale yellow color of Pt(II) solution changedto brown as observed in the reduction of platinum alone. Then, a solution of 1 mM RuCl3 in 0.1 M HClO4 wasadded to the Pt colloid solution. After continuous ultrasonic irradiation for an additional 3 hours, the color of thesolution turned to dark brown.

Figure 4.13 shows the absorption spectra of the colloidal solution beginning with the K2PtCl4 solution atthe start and continuing through the addition of RuCl3 and its subsequent reduction. The absorption spectrumimmediately upon addition of the ruthenium chloride solution is quite different from that of ruthenium ion solutionalone. The interesting point is that when the RuCl3 solution was added to the Pt colloid solution, only oneprominent feature at 380 nm existed while the other two disappeared indicating an instantaneous partial reductionof Ru(III) upon addition to the colloidal platinum solution. Compared to the UV-vis spectra of simultaneousreduction, it takes only 3 hours to completely reduce Ru(III) by using the sequential method. This is more likelyto be due to the catalytic activity of the pre-existing platinum nanoparticles. Reduction to metallic ruthenium iscomplete at the end of 3 hours. Obviously, the perplexing peak around 300 nm of ultrasonicated ruthenium(III)sample reappears again. This peak indicates the ruthenium(III) ions are not reduced completely by ultrasound.

In order to confirm the formation of ruthenium metallic nanoparticles, XPS was employed to survey scanthe ruthenium compound reduced by sequential sonochemical irradiation. Figure 4.14 shows the XPS spectraof the ruthenium(III) chloride after 7 hours ultrasonic irradiation. It is clear that two new peaks appear beforethe (Ru 3d + C 1s) envelope corresponding to K 2p1/2 and 2p3/2. The presence of potassium is due to theinitial solution containing K2PtCl4. Similar to the chemical reduction of ruthenium(III) ion, the Ru 3d and 3pwere deconvoluted into three ruthenium species. The doublet at 283.7 and 280.1 eV presents the existence ofzero-valent ruthenium. Clearly, the presence of Pt metallic nanoparticles speeds up the formation of rutheniumnanoparticles by providing an alternative pathway from ruthenium ions to metallic particles. This new pathway has

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250 300 350 400 450 500 550 600 650 700

0

0.1

0.2

0.3

0.4

0.5

0.6

Wavelength (nm)A

bsor

banc

e

0 hour(Pt)1 hour(Pt)1 hour(Pt&Ru)2 hours(Pt&Ru)3 hours(Pt&Ru)

Figure 4.13: Absorption spectra of PtRu colloids: UV-vis spectra observed during the sequential sonochemicalreduction of an aqueous solution of 1 mM K2PtCl4 containing 1 mg/mL PVP + 0.4 M 1-propanol fol-lowed by the reduction of 1 mM RuCl3 under an Ar saturated atmosphere. The ultrasound frequencyused was 213 kHz and the total power was 35 mW/mL.

a higher reduction potential than that of the original pathway. In the same chemical environment, a large fractionof ruthenium ion can cross the activation barrier and be reduced to Ru(0). Details of these catalytic activities ofplatinum are discussed at the end of this subsection.

At same time, the doublet peaks corresponding to Ru(III) and RuClxOy appear with Ru(0) at Ru 3d and 3p. Itis noticeable that the portion of RuClxOy species is almost equal to that of Ru(0) indicating that a large fractionof ruthenium oxychloride was produced during the sequential sonication of ruthenium and platinum ions. Also,

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O 1s

C 1s

Si 2sSi 2p

Pt 4f

Binding Energy (eV)1200 1000 800 600 400 200 0

20

40

60

× 103

Inte

nsity

(CPS

)

50

30

0

10

Ru 3p

(a) The full X-ray photoelectron spectrometryspectrum of the platinum-ruthenium bimetal-lic nanoparticles prepared by a sequentialsonochemical method.

Inte

nsity

(CPS

)

3500

1500

2000

2500

3000

4000

4500

Binding Energy (eV)300 296 292 288 284 280 276

XPS Spectrum

Peak Fitting

C 1s C-O

C 1s C-C/H

Ru 3d3/2

Ru(III) Ru 3d5/2

Ru(0)

+C 1s

RuClxOy

K 2p3/2

K 2p1/2

(b) The Ru 3d + C1sX-ray photoelectronspectrum of theplatinum-rutheniumbimetallic nanopar-ticles prepared by asequential sonochem-ical method.

Inte

nsity

(CPS

)

3200

4000

4400

3600

Binding Energy (eV)496 488 480 472 464 456 448

XPS Spectrum

Peak Fitting

Ru(0)

Ru 3p1/2

Ru 3p3/2

Ru(III)

RuClxOy

(c) The Ru 3p X-rayphotoelectron of theplatinum-rutheniumbimetallic nanopar-ticles prepared by asequential sonochemi-cal method.

Figure 4.14: X-ray photoelectron spectrometry survey scan of the platinum-ruthenium bimetallic nanoparticles:XPS spectrum observed after 7 hours sonochemical sequential reduction of an aqueous solutionof 1 mM K2PtCl4 containing 0.4 M 1-propanol under an Ar saturated atmosphere followed by thereduction of 1 mM RuCl3 under an Ar saturated atmosphere. The ultrasound frequency used was213 kHz and the total power was 55 mW/mL.

a comparison with the peak area of Ru(III) in chemical reduced sample shows that the signal of Ru(III) in thesequential reduction process is much stronger, indicating that the reduction by ultrasound process is less efficient.The same conclusions can be deduced from the XPS spectrum of ruthenium 3p.

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According to the above observations, the peak appearing at 300 nm in the UV-vis spectrum of the final reduc-tion is more likely to be one or more hydrolyzed forms of ruthenium(III) chloride. Although Ru(III) exists in thesamples treated by chemical reduction or the hybrid method, the fraction of the +3 oxide state species is too smallto be detected by spectrophotometry. In the samples only irradiated by ultrasound, the Ru(III) chlorides is in agreater proportion resulting in an obvious change in the UV-vis spectra.

Figure 4.15a shows the TEM image of platinum-ruthenium bimetallic nanoparticles prepared using PVP as astabilizer. The observation that the particles size is much smaller than 2 nm in the PVP system as compared tothe SDS system (see Figure 4.17) is consistent with the observation that faster reduction rates result in smallerparticle sizes [132]. However, the images do not conclusively indicate that the structure of particles is core-shell.This requires higher resolution TEM images.

To confirm the presence of these core-shell structures, we have examined the sample prepared by sequentialreduction using SDS surfactant on a copper grid at higher resolution at 200 kV, and the resulting TEM image shownin Figure 4.16a and Figure 4.16b. The larger particle whose diameter is around 20 nm does indeed show clearlydefined core-shell bimetallic structures with the ruthenium forming a layer around the platinum particles. Wehave chosen one representative particle to illustrate this geometry in Figure 4.16c. The composite nanoparticlesclearly seem to have core-shell structure that a layer of ruthenium was formed around the platinum particles.The diameters of the platinum particles core ranges approximately from 15 nm to 20 nm and the thickness ofruthenium shell is between 3 nm and 4 nm. The crystal lattices of the platinum core and the ruthenium shellare observed clearly in the high resolution TEM image. The lattice interfaces further confirm the formation ofplatinum-ruthenium core-shell nanoparticles by sonochemical reduction.

As mentioned before, the accelerating function of platinum on the reduction rate of Ru(III) is most likely dueto the presence of platinum, holding the electrons donated by the reducing radicals produced by sonolysis. Theplatinum-ruthenium core-shell structure in the TEM image (Figure 4.16a- 4.16c) further confirms the experimentalobservation that the platinum plays a significant role in the reduction of Ru(III). The formation of the core-shellstructure of PtRu bimetallic nanoparticles is shown in Figure 4.16d. The highly active primary H• and OH•generated in the cavitation bubble readily react with the alcohol molecules around them to produce the alcoholradical (referred to propanol radical in this case). Due to the capacity of electron storage, the surface of the

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(a) TEM micrograph of PtRu bimetallic nanoparticlesobtained by sequential sonochemical reduction.

1.4 1.6 1.8 2 2.2 2.4 2.6 2.8 30

2

4

6

8

10

12

Particle Size (nm)

Nu

mb

er o

f P

arti

cle

(b) Histogram for the size distribution of PtRunanoparticles.

Figure 4.15: Sequential sonochemical reduction of an aqueous solution of 1 mM K2PtCl4 containing 1 mg/mLPVP + 0.4 M 1-propanol followed by the reduction of 1 mM RuCl3 under an Ar saturated atmosphere.The ultrasound frequency used was 213 kHz and the total power was 55 mW/mL.

platinum existing in the solution collects the electrons after the alcohol radicals shift to a more stable energystate. Once the electron is captured by the platinum, the surface of platinum particles will be negative charged.Obviously, the positively charged ruthenium ions are easily attracted by the platinum particles by the electrostaticforce. The positive ruthenium ions continuously accumulate on the platinum surface to form a shell layer. In this

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(a) TEM images of core-shell PtRu bimetallicnanoparticels pre-pared by sequentialsonochemical reduc-tion.

(b) TEM images of core-shell PtRu bimetallicnanoparticels pre-pared by sequentialsonochemical reduc-tion.

(c) TEM images of PtRucolloids prepared by se-quential sonochemicalreduction.

CH3CH2CHOH

Ru(III)

Ru(0)

CH3CH2CH + HO

+

PtRu

(d) The mechanism ofcore-shell structureforming during thesequential sonication.

Figure 4.16: TEM images and mechanism of sequential sonochemical reduction of an aqueous solution of 1 mMK2PtCl4 containing 0.1 M HClO4, 8 mM SDS and 0.2 M 1-propanol followed by the reduction of 1mM RuCl3 under an Ar saturated atmosphere. The ultrasound frequency used was 213 kHz and thetotal power was 35 mW/mL.

whole procedure of ruthenium reduction, platinum particles act as catalysts to provide a new pathway to reducethe ruthenium ion by offering electrons instead of the normal radicals, which is likely to have a more powerfulpotential to reduce metallic ions [265].

4.4.3. Stabilizer Dependence

The influence of the stabilizer on the synthesis of bimetallic nanoparticles was also investigated using both SDSand polyvinyl-2-pyrrolidine (PVP). According to the changes in the observed spectra, the reduction rate with the

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PVP system is clearly faster than that with the SDS system. The formation of Pt particles with the PVP systemwas accelerated dramatically and the sonication time was reduced from 4 hours in the SDS system to 1 hour.

The observation that compared to the SDS system (Shown in Figure 4.17b), the particles size is much smallerin the PVP system (shown in Figure 4.15b) further confirms that the reduction rate is faster than that with the SDSsystem. As mentioned before, faster reduction leads to smaller particles [132].

It is difficult to adequately explain the difference in the rate of reduction observed with the two differentstabilizers. The primary function of both PVP and SDS is to stabilize the metal particles. They do not influencethe sound field and do not affect the bubble dynamics. On the basis of these facts, we are confident that both SDSand PVP do not affect the cavitation bubbles or the bubble field or the sound field.

However, there are two possible reasons for the different reduction rate with two surfactants: SDS, beingsurface active, is more likely to scavenge some of active primary radicals at the bubble solution interface. The ad-vantageous position of surfactant enables them to easily accept the primary radicals generated from the cavitationprocess. This should enhance the rate of metal ion reduction as the surfactant radicals, like alcohol radical dis-cussed previously, can be expected to lead to metal ion reduction and therefore metallic nanoparticles. However,it must also be remembered that SDS is a negatively charged solute and can complex with some of the positivemetal ion complexes in solution and conversely repel the negatively charged species, which is particularly relevantwhen considering reactions on the surface of the colloid particles in the system. Finally, the degree of adsorptionof the stabilizer on the colloid particles can be expected to be quite different, and this also will affect the size of thecolloid particles formed. How all these effects contribute to the rate of reduction in the complex system remainsto be clearly understood.

Section 4.5Supplemental Measurements

Besides the UV-vis spectrometry, transmission electron microscopy and X-ray photoelectron spectrometry, X-ray diffraction (XRD), Scanning Transmission Electron Microscope (STEM), energy-dispersive X-ray (EDX)spectrometry were used to characterize the colloids of ruthenium, platinum and platinum-ruthenium colloids.

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(a) TEM micrograph of PtRu bimetallic nanoparticlesby sequential sonochemical reduction using SDSsurfactant.

1 2 3 4 5 6 7 8 9 10 110

2

4

6

8

10

12

Particle Size (nm)

Nu

mb

er o

f P

arti

cle

(b) Histogram for the size distribution of PtRunanoparticles.

Figure 4.17: Sequential sonochemical reduction of an aqueous solution of 1 mM K2PtCl4 containing 0.1 M HClO4,8 mM SDS and 0.2 M 1-propanol followed by the reduction of 1 mM RuCl3 under an Ar saturatedatmosphere. The ultrasound frequency used was 213 kHz and the total power was 55 mW/mL.

Due to the limited amount of the metal colloids prepared, it was difficult to get a clear corresponding XRDpattern. In comparison to EDX, XPS spectra are able to provide not only the elements information with thesamples as well as the oxide states of corresponding elements. Here only XPS data were selected to show the

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ruthenium oxide states. Because of the smaller sizes of the prepared nanoparticles, the images of STEM could notshow clearly the micromorphology of the metal or bimetallic particles.

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Advertisement—Fuel Cell

The main purpose of this chapter is to let you understand whyAladdin Lamp has magic function and the manufacture procedurewas presented in details. The potential materials for this lampwere also explored by comparing their magic performance.

XH

5Application of PtRu Bimetallic Nanoparticles

For A Fuel Cell∗

Being recognized as a promising catalyst, PtRu bimetallic nanoparticles have attracted a considerablelevel of attention for their electronic and catalytic properties. In this chapter, PtRu particles are con-sidered with respect to possible applications in fuel cells, one of various applications, of bimetallicnanoparticle synthesized by chemical, sonochemical and radiolytic reduction. Cyclic voltammetry was

∗In the previous chapter, the sonochemical synthesis of Pt-Ru was described. This chapter also deals with the synthesis of bimetallicparticles. However, this work was done with a different system at the University of Notre Dame. In addition to the sonochemical method,chemical and radiolytic synthesis of Ru-Pt bimetallic particles and their electrocatalytic properties were carried out.

- 112-

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5.1. INTRODUCTION

used as the main tool to evaluate the electrocatalytic performance of these nanometer-sized bimetallic catalysts.

Section 5.1Introduction

Fuel cells are electrochemical devices that convert the chemical energy in fuels into electrical energy directly,promising power generation with high efficiency and low environmental impact. There are a number of differenttypes of fuel cells, such as solid oxide, molten carbonate, proton-exchange membrane, and direct methanol fuelcells (DMFCs).

Implementation of direct methanol fuel cells allows the direct use of methanol without a fuel processor; theliquid fuel, i.e., methanol, needs no other external reforming, is easy to store and has a high energy density.The DMFC is seen as the leading candidate technology for the application of fuel cells in cameras, notebookcomputers, and other portable electronic applications. Figure 5.1 shows the basic structure of a typical directmethanol fuel cell. It can be seen in this figure that electrons flow from the anode to the cathode, and at the sametime, carbon dioxide forms at the anode and water at the cathode. It should be noted that the electrocatalyst playsa leading role in creating an electric current by separating electrons from methanol. The presence of an acidicelectrolyte is necessary as it provides conductivity between the electrodes to complete the chemistry of the wholesystem.

Although the DMFC is a fascinating candidate in the future of power supplies, the vital bottleneck of thistechnology is the low efficiency of the anode catalyst which yields a slow kinetics of methanol electro-oxidation.Often, high catalyst loadings are required in order to obtain a useful power output in DMFCs. This results in in-creasing the cost of fuel cells in practical applications. Research has focused on finding more active electrocatalyticanode materials to promote methanol oxidation. In this chapter, bimetallic platinum-ruthenium nanoparticles syn-thesized by chemical, sonochemical and radiolytic methods are compared on the basis of their electrocatalyticperformance in this chapter.

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H+

H+

H+

H+

Driven Load

Acidic ElectrolyteAno

de C

atal

yst L

ayer

Ano

de D

ius

ion

Med

ia

Cath

ode

Cata

lyst

Lay

er

Cathode Diusion

Media

Methanol+Water

Carbon Dioxide

Oxygen

Water

e- e-

ANODE CATHODE

Figure 5.1: Schematic structure of a typical direct methanol fuel cell.

5.1.1. Platinum Electrocatalyst

Normally, the catalyst for both the anode and cathode in DMFCs is platinum-based. The electrochemical oxidationof methanol is much more complicated than the anodic oxidation of hydrogen. To promote methanol oxidation, theanode uses either a pure platinum metal catalyst or a supported platinum catalyst, typically on carbon or graphitefor pure hydrogen feed streams. Oxygen reduction at the cathode may use either platinum metal or the supportedcatalyst. However, the cathodic oxygen reduction process is much slower, and therefore can be assumed to be therate determining step under most conditions. Normally, sulfuric acid is used as the electrolyte. Due to the fact thatelectrolyte is circulated through the fuel cell, the fuel is delivered with the electrolyte.

The reactions during methanol electro-oxidation process of platinum nanoparticles are shown in Figure 5.2

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(Reactions I - VIII). The oxidation process takes place at the anode where methanol adsorbs on the platinumsurface and undergoes sequential oxidation [266, 267, 282]. Figure 5.2 shows that platinum plays a significant

H

HHHCO

H

HHHCO

H

HH CO

H

HCO

C

O

H H H

HO O

H

CO

Pte-

Pte-

Pte- Pt

Pte- Pt Pt e- Pt Pt

Pte- Pt Pt

HO

H+

H+ H+

H+

H+

H+

CO2

III

IIIIV

V

VI VII

VIII

Figure 5.2: The scheme of the methanol oxidation process at the platinum anode of a direct methanol fuel cell(modified from reference [283]).

role in the sequential stripping of protons and electrons from methanol adsorbed on its surface. As a result,carbon-containing intermediates are like to be produced during the sequential oxidation.

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5.1. INTRODUCTION

The main reactions occurring at the anode and cathode are summarized in Reaction 5.1-5.3.

Anode reaction: CH3OH + H2OGGGGGACO2 + 6H+ + 6e− (5.1)

Cathode reaction:32

O2 + 6H+ + 6e− GGGGGA 3H2O (5.2)

Overall reaction: CH3OH +32

O2 GGGGGACO2 + 2H2O (5.3)

For the oxidation taking place at the anode, the thermodynamic voltage is 0.046 VSHE∗ at 25 °C [283, 284].

Methanol is finally oxidized to carbon dioxide, protons and electrons. In the reduction process, the protons reactwith oxygen to form water and the electrons are transferred to produce the electrical power. The correspondingthermodynamic voltage is 1.23 VSHE [283, 284]. Thus the maximum thermodynamic voltage of the whole DMFCreaction is 1.18 VSHE [283, 284]. However, the cell voltage is much less than this because of losses from poorcathode activity, catalyst loading and impedance sources within the cell.

5.1.2. Role of Ruthenium Particles

Normally, the clean surfaces of Pt catalysts show very high activity for methanol oxidation, but these very rapidlydecrease in current upon the formation of strongly bound intermediates (see Reactions 5.4-5.7 and Figure 5.2).CO is the most widely found residue from methanol. This intermediate species is irreversibly adsorbed on thesurface of the electrocatalyst and severely poisons the Pt, slowing down the overall reaction. This poisoning hasthe effect of significantly reducing the fuel consumption efficiency and the power density of the fuel cell. It is only

∗VSHE refers to the voltage relative to the standard hydrogen electrode.

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at high overpotentials that these intermediates can be oxidized.

CH3OH + Pt GGGGGAPt-CH2OH + H+ + e− (5.4)Pt-CH2OH + Pt GGGGGAPt-CHOH + H+ + e− (5.5)Pt-CHOH + Pt GGGGGAPtCHO + H+ + e− (5.6)

PtCHOGGGGGAPt-CO + H+ + e− (5.7)

The development of platinum based catalysts has focused on the introduction of a secondary component, forexample ruthenium, that is able to provide an adsorption site capable of forming OH species at low potentialsadjacent to poisoned Pt sites. The presence of the ruthenium in the catalyst alloy serves to reduce the poisoning ofthe Pt surface by carbon monoxide.

A number of studies have put forth the primary theories of the enhancement due to the presence of Ru [266,267, 284, 285]. The enhanced behavior of PtRu over Pt has been attributed to a ligand (electronic) effect of Ru anda bifunctional effect [286, 287], in which the role of Ru is to offer adsorbed oxygen-containing species to oxidizecarbonaceous adsorbates on Pt sites.

Section 5.2Fuel Cell Performance of Platinum Nanoparticles

A key parameter, the electrochemical active surface area (ECSA), determines the electrocatalytic performanceof these Pt particles deposited on carbon Toray paper. The cyclic voltammetry technique is finding wide use inmeasuring catalytic surface areas for electrically conductive catalysts.

Figure 5.3 shows the cyclic voltammogram of a Pt electrocatalyst synthesized by the sonochemical reductionof a solution containing 1 mM K2PtCl4, 1 mg/mL poly(sodium 4-styrenesulfonate)(PSS) and 0.4 M 1-propanol.It exhibits the typical features of a Pt electrode in 0.1 M H2SO4 solution. Hydrogen adsorption and desorptionregions between 0.0 VSCE

∗ and -2.7 VSCE indicate the success of Pt particles’ electro-deposition on the carbon∗VSCE refers to the voltage relative to the standard saturated calomel electrode.

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-0.4-0.200.20.40.60.81-6

-4

-2

0

2

4

6

8

Voltage (V)

Cur

rent

(mA

)

Platinum Oxide Reduction

Platinum Oxidation

H Desorption

H Adsorption

Double Layer Region

Figure 5.3: Cyclic voltammogram for Pt nanoparticles synthesized by the sonochemical reduction of a 10 mLaqueous solution containing 1 mM K2PtCl4, 1 mg/mL PSS and 0.4 M 1-propanol under an Ar satu-rated atmosphere. The ultrasound frequency used was 630 kHz and the total power was 20 W. Theacidic electrolyte used was 0.1 M H2SO4 solution and the scan rate was 50 mV/s. The area of theelectrode was 0.75 cm2.

Toray paper. A shoulder at 0.7 VSCE is due to the oxidation of Pt (Reaction 5.8). The oxidation stripping was

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found on the negative returning sweep near 0.5 VSCE (Reaction 5.9).

Pt + H2OGGGGGAPtOH + H+ + e− (5.8)PtOH + H+ + e− GGGGGAPt + H2O (5.9)

The ECSA of an electrocatalyst is a measure of the number of electrochemically active sites per gram of the cat-alyst and is determined by integrating the area under the potential window for the hydrogen adsorption/desorptionpeaks after subtracting the charge from the double layer region [263, 288–291]. For this estimation, the hydrogenunderpotential deposition charge density was taken as 210 µC/cm2 [263, 290, 291].

ECSA[cm2Pt/gPt] =

Charge[QH, µC/cm2]

210[µC/cm2]× Catalyst Loading[gPt/cm2](5.10)

Using Equation 5.10 and integration of the current from 0.4 V to 0 VSCE, the ECSA was calculated to be 10.9m2/g. It is interesting to note that this ESCA value of the Pt nanoparticles synthesized by sonochemical reductionis significantly higher than bare platinum (2.8 m2/g), reinforcing the advantages of the sonochemical synthesismethod (discussed in Chapter 4).

Figure 5.4 shows the cyclic voltammograms recorded with ultrasound-prepared platinum on carbon Toraypaper in N2-sparged 0.1 M H2SO4 containing 1 M methanol at 20°C. Five repetitive scans were carried out in orderto acquire a reproducible cyclic voltammograms without noticing any deviations in the current values. Figure 5.4is of the fifth scan, which is stable after four repetitive scans. This voltammogram exhibits the characteristicfeatures of methanol oxidation on platinum in aqueous acid solutions. Methanol oxidation is represented by theanodic peak around 630 mV. On the reverse scan, the adsorbed intermediates produce a second oxidation peak at490 mV. The magnitude of the first peak at 630 mV is directly proportional to the amount of methanol oxidizedat the electrode. The anodic peak of 490 mV is known to be related to the removal of incompletely oxidizedcarbonaceous species formed in the forward scan. These two peaks are explained below in detail [263, 291].

On the forward scan, the adsorption and continuous oxidation of methanol leads to an increase of current. Atthe same time, Pt-CO bonds at the surface of the Pt nanoparticles develop after multistep reactions with methanol

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00.20.40.60.81

-2.5

-2

-1.5

-1

-0.5

0

0.5

Voltage (V)

Cur

rent

(mA

)

Cyclic Voltammetry

Figure 5.4: Cyclic voltammogram for Pt nanoparticles synthesized by the sonochemical reduction of a 10 mLaqueous solution containing 1 mM K2PtCl4, 1 mg/mL PSS and 0.4 M 1-propanol under an Ar satu-rated atmosphere. The ultrasound frequency used was 630 kHz and the total power was 20 W. Theacidic electrolyte used was 1 M methanol and 0.1 M H2SO4 solution and the scan rate was 20 mV/s.The area of the electrode was 0.75 cm2.

(see Reactions 5.4-5.7). Furthermore, the adsorbed water might react with this Pt-CO species to form hydroxide

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(Pt-OH) at higher voltages. The substantial amount of OH species absorbed on the surface leads to a decrease inthe number of active sites on the electrode surface. Consequently, the oxidation current decreases after the peakcurrent.

On the reverse scan, the desorption of Pt-OH is capable of reacting with poisoned Pt sites and leads to anincrease in current (Reaction 5.9). Thus, the cleaning process of the Pt surface results in the second oxidationcurrent peak.

Pt-CO + Pt-OHGGGGGA 2Pt + CO2 + H+ + e− (5.11)

Although Reactions 5.1-5.3 look simple from a stoichiometry point of view, the chemisorption and electro-chemical oxidation of methanol on a platinum catalyst is quite a complicated multistep process. Chemisorptionof methanol on platinum takes place very rapidly on the bare catalyst surface. The process of methanol oxidationinvolves the formation of chemisorbed fragments, predominantly CO, and probably COH [267] (see Reaction 5.4-5.7 and Figure 5.2). The formation of these strongly adsorbed reaction intermediates is the major reason forthe sluggish electro-oxidation. An approach for enhancing the oxidation activity of Pt for methanol oxidation isthrough the utilization of alloys. The second metal forms a surface oxide in the potential range appropriate formethanol dehydration. A number of studies [266, 267, 286, 287] have proved that ruthenium is the best candi-date for this second metal. The following sections focus on the electrocatalytic performance of PtRu bimetallicnanoparticles synthesized by chemical, sonochemical and radiolytic methods.

Section 5.3Chemical Synthesis Methods

As described in Subsection 4.3.2 of Chapter 4, a solution of sodium borohydride was used as a reductant to convertRu(III) and Pt(II) ions to PtRu bimetallic nanoparticles. Two different methods, sequential and simultaneousreduction, were used to synthesize the PtRu bimetallic nanoparticles.

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5.3.1. Sequential Reduction

The electrocatalysts in Figure 5.5 were prepared using sequential chemical reduction. 10 mL solution containingPt(II) and Ru(III) ions were added dropwise to 120 µL of 150 mM sodium borohydride aqueous solution. Thereduction of a solution containing 1 mM K2PtCl4, 1 mg/mL PSS and 0.4 M 1-propanol was followed by sequentialreduction of 1 mM RuCl3. The ratios of Pt(II) to Ru(III) in precursor solutions were 5:1, 2:1, 1:1 and 1:2 (shownin Figures 5.5a-5.5d, respectively.).

According to the cyclic voltammograms in Figure 5.5, all the sequential chemical reduction samples showsimilar features to Pt in Figure 5.4. In the anodic sweep, the peaks indicating the oxidation of methanol arelocated at around 620 mV when the ratios of Pt(II) and Ru(III) in precursor solution are 5:1, 2:1 and 1:1. Forthe case of 1:2 (Pt(II):Ru(III)), it can be seen that the methanol oxidation peak shifts slightly negatively to 570mV. This slight shift shows that small amounts of Ru(0) were incorporated with Pt(0) formed earlier. A detaileddiscussion of the function of Ru in the Pt electrode will be presented in the following subsection. It is evidentthat PtRu electrocatalysts synthesized by the sequential chemical method only show the basic features of a Ptcatalyst in methanol oxidation. The PtRu bimetallic nanoparticles prepared by using sequential chemical reductionseem to be a simple mixture of platinum and ruthenium nanoparticles. This may be the main reason for the lowelectrocatalytic performance.

A number of studies [266, 287, 292] show that the ratios of Pt and Ru in the electrocatalyst play a significantrole in influencing current during the oxidation of methanol. In our case, an accurate quantitative technique (e.g.,inductively coupled plasma) to determine the actual Pt and Ru ratio, was unavailable. Thus, the influence of thecomponent ratio in electrocatalysts on the current of cyclic voltammograms will not be discussed in this work.

5.3.2. Simultaneous Reduction

Figure 5.6 shows the cyclic voltammograms of platinum-ruthenium bimetallic electrocatalysts prepared by simul-taneous chemical reduction of Pt(II) and Ru(III) ions in aqueous solution. A 120 µL aqueous solution of 150 mMsodium borohydride was added dropwise to a 10 mL mixture of K2PtCl4 and RuCl3 solution. 1 mg/mL PSS wasused to control the nanoparticle size and act as a stabilizer of the bimetallic colloids (see Chapter 2). It should be

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00.20.40.60.81

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−0.4

−0.2

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Figure 5.5: Cyclic voltammogram of PtRu nanoparticles synthesized by chemical sequential reduction of a 10mL aqueous solution containing 1 mM K2PtCl4, 1 mg/mL PSS and 0.4 M 1-propanol followed by thereduction of 1 mM RuCl3. The added reductant was 120 µL aqueous solution of 150 mM sodiumborohydride. The acidic electrolyte used was 1 M methanol and 0.1 M H2SO4 solution and the scanrate was 20 mV/s. The area of the electrode was 0.75 cm2 in each case.

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noted that the stabilizer used here is PSS instead of PVP or SDS which were previously used in Chapter 4. The re-sults of separate experiments show that PVP or SDS can influence the conductivity of electrodes and consequentlysignificantly impede the performance of PtRu-based electrocatalysts. Thus, PSS was selected to stabilize themetallic or bimetallic colloids in evaluating the performance of the fuel cell. The presence of alcohol, 1-propanol,was to make a reference system to the sonochemical and radiolytic systems in which alcohol is involved in thereaction (see Chapter 2).

The cyclic voltammograms of the PtRu bimetallic catalyst, simultaneous chemically prepared in four differentmolar ratios, 5:1, 2:1, 1:1 and 1:2, of Pt(II) and Ru(III) metallic ions in precursor solution are shown in Fig-ures 5.6a-5.6d, respectively. It can be seen that the characteristics of these four cyclic voltammograms are quitedifferent from those of PtRu synthesized by sequential chemical reduction. The second oxidation current peak onthe catholic scan clearly decreases, especially that of the 1:2 molar ratio sample almost completely disappeared.The decreases in the reverse oxidation peaks indicate that the ruthenium was successfully incorporated into theplatinum nanoparticles. The introduction of ruthenium suppresses the CO poisoning on the surface of platinum.At the same time, it also can be observed that the methanol oxidation peaks on forward scans clearly shift neg-atively (around 0.48 VSCE). Furthermore, compared to the samples from the sequential chemical method, thesimultaneously synthesized PtRu bimetallic electrocatalysts have lower onset potentials for methanol oxidationin the voltammogram. For example, in the case of the 1:1 molar ratio, the methanol oxidation onset potentialof PtRu bimetallic nanoparticles synthesized by sequential reduction (Figure 5.5c) is 0.3 VSCE, but that of thesimultaneously chemically reduced PtRu (Figure 5.6c) is 0.1 VSCE.

It can also be seen that the onset potential for methanol oxidation shifts from 0.3 VSCE for the 5:1 molar ratiosample (Figure 5.6a) to 0.1 VSCE for the 1:2 molar ratio sample (Figure 5.6d). This observation demonstrates thatan increase in the molar proportion of ruthenium ions in precursor solution is likely to lowering the onset potentialfor the methanol oxidation. The ruthenium component of PtRu synthesized by the simultaneous chemical methodis likely to play a significant role in improving the efficiency of the overall electrocatalytic activities.

All the above observed phenomena demonstrate that the simultaneous chemical reduction method has abilityto synthesize better performance electrocatalyst than the sequential chemical reduction method. In addition, theresults suggest that the introduction of ruthenium to platinum-based electrocatalysts, as the second component,

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(d) 0.5 mM K2PtCl4 + 1 mM RuCl3

Figure 5.6: Cyclic voltammograms of PtRu nanoparticles synthesized by chemical simultaneous reduction of 1mM K2PtCl4, 1 mM RuCl3, 1 mg/mL PSS and 0.4 M 1-propanol. The reductant added was 120 µLaqueous solution of 150 mM sodium borohydride. The acidic electrolyte used was 1 M methanol and0.1 M H2SO4 solution and the scan rate was 20 mV/s. The area of the electrode was 0.75 cm2 ineach case.

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results in an increase in the performance of electrocatalytic properties of the electrode. The contribution of thepresence of ruthenium in platinum-based catalysts is mainly due to the bifunctional mechanism, ligand effects andlower CO oxidation potential on the Ru surface.

A number of studies [266–268, 285, 286]. show that Pt promotion by Ru for methanol oxidation is mainlyattributable to the bifunctional mechanism, in which the formation of surface hydroxide on ruthenium is able toincrease the tolerance to CO poisoning. Normally, at 298 K, the onset potential of the adsorption of OH speciesto ruthenium (0.2 VSHE) is lower than that of platinum (0.7 VSHE) [266, 293]. Consequently, at the lower electrodepotential, water discharging can occur on the ruthenium surface with formation of RuOH species on the PtRubimetallic catalyst.

Ru + H2OGGGGGARuOH + H+ + e− (5.12)

The surface-bound OH-groups forms on the ruthenium are able to convert these carbon monoxide intermedi-ates to carbon dioxide. This CO stripping ability of ruthenium can reactivate the blocked platinum electrode sitesfor further methanol oxidation.

RuOH + Pt-COGGGGGAPt + Ru + CO2 + H+ + e− (5.13)

A number of studies [266, 284, 287, 293] suggests that the synergistic promotion exerted by PtRu bimetalliccatalysts is not only due to the bifunctional mechanism, but also to the ligand effect occurring on account of theinteraction between Pt and Ru. It is known that the formation of Pt-CO involves the σ∗ anti-bonding orbitals of COdonating an electron pair to the 5d orbitals of Pt. This band is stabilized by back donation of electron density fromplatinum to the unfilled π∗ orbitals of CO. The presence of ruthenium alters the electronic properties of adjacentplatinum atoms, which is likely to decrease the bond energy of Pt-C [266, 293]. The presence of rutheniumleads to increasing the electron density around Pt sites, which consequently results in a weaker chemisorption ofmethanolic residues on Pt.

Apart from the bifunctional mechanism and ligand effects, the presence of ruthenium is likely to introduce thereaction toward producing proportionately more carbon dioxide and less formic acid and formaldehyde than pureplatinum catalysts [287]. In short, the ruthenium is able to alter the methanol oxidation selectivity to the products.

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According to the bifunctional mechanisms of ligand effects, the presence of ruthenium has significant positiveeffects on the electrocatalytic ability of PtRu bimetallic nanoparticles. However, the extent of these effects iseffectively determined by the atomic Pt:Ru ratios and ruthenium distribution in platinum atoms. It is knownthat the rate of electro-oxidation of methanol is strongly dependent on platinum content, as the current densityis proportional to the methanol adsorption on Pt (see Reactions 5.4-5.7). Therefore, large quantities of platinumin PtRu catalyst accounts for the higher methanol adsorption rate, consequently the higher current density. Atthe same time, the adsorption of methanol on the surface of ruthenium only occurs at high temperature [294].Furthermore, even at high temperature, platinum is the leading component in adsorbing methanol.

However, the bifunctional mechanism described above suggests that the presence of ruthenium has potential tooxidize the adsorbed methanol oxidation residues at low potentials. Furthermore, the in-situ CO stripping voltam-metry provides clear evidence that the overall rate of methanol electro-oxidation process is determined by COremoval [266, 293]. The bifunctional mechanism demonstrates that Pt is a good catalyst for methanol adsorptionand dehydrogenation, but not for water dissociation. Ruthenium is capable of effective water dissociation and COoxidation to recover the poisoned Pt, but it cannot adsorb methanol. At higher temperature (above 90 °C), ruthe-nium is able to participate in the methanol chemisorption process at low potentials, but the chemisorption energyof oxygen on Ru surface is too high to inhibit the reactivating function of ruthenium for the methanolic residues.Thus, incorporation with ruthenium is necessary for a platinum-based electrocatalyst. In addition, the introductionof ruthenium is likely to modify the electronic properties of platinum to favor the adsorption of methanol [295].

Therefore, there is an optimal ratio of platinum to ruthenium content in order to attain the highest electrocat-alytic performance in a fuel cell application.

As both the adsorption of methanol on the surface of platinum and water discharging behavior on rutheniumare related to the ambient temperature, this optimal ratio of platinum and ruthenium will change with the environ-mental temperature. In addition to the elemental composition and ambient temperature, the electrode potential, thespatial arrangement and the reactant concentration in solution also have impact on the rate of methanol oxidation.Therefore, the methanol oxidation on PtRu electrode is a complicated process involving a number of factors. Thefollowing paragraph focus on the effect of the spatial arrangement of platinum and ruthenium.

Based on the bifunctional mechanism and ligand effects, the blending together of platinum and ruthenium also

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plays an important role in improving the electrocatalytic performance. As described for the bifunctional effect,Ru-OH can only access the neighboring Pt-CO species to reactivate the blocked Pt sites. For the ligand effect, onlyadjacent ruthenium atoms have influence on the electronic structures of platinum. Therefore, the prerequisite forachieving this effect by introducing ruthenium into the platinum-based catalyst is that the ruthenium is stronglyblended with the platinum.

For PtRu synthesized by sequential chemical reduction, the platinum and ruthenium seem to be independentlyformed without any association between these individual components. However, during synthesis in the simulta-neous chemical method, Pt(II) and Ru(III) ions are reduced by sodium borohydride at the same time. This kindof formation is likely to produce PtRu alloys or the mixture of small island particles of platinum and ruthenium.Due to the greater number of adjacent PtRu sites and boundaries between the domains of Pt and Ru surface atoms,the simultaneous chemical reduction seems to be an effective synthesis method to prepare high performance PtRuelectrocatalysts.

Section 5.4Sonochemical Synthesis Methods

As described in Chapter 2, sonochemical reduction of noble metallic ions in precursor solutions is likely to be aneffective method to form small size nanoparticles with uniform shapes and narrow size distribution. In Chapter 4,two different methods, sequential and simultaneous reduction, were used to prepare PtRu bimetallic nanoparti-cles. The point of interest is that the sequential sonochemical reduction seems to form core-shell structure PtRubimetallic nanoparticles. The main attention of this section is focused on the evaluation of the electrocatalyticperformance of these noble bimetallic materials.

5.4.1. Simultaneous Reduction

A frequency of 630 kHz ultrasound was applied to irradiate a 10 mL solution containing K2PtCl4, RuCl3, 1 mg/mLPSS and 0.4 M 1-propanol. Various concentration ratios of K2PtCl4 and RuCl3 in precursor solutions were used

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to alter the ratios of Pt(II) to Ru(III) to 5:1, 2:1, 1:1 and 1:2.Due to the particle sizes of these four different molar ratios being too small, the high speed centrifugation

process (speed: 10,000 rpm) was unable to extract these metallic nanoparticles from the aqueous solution. Thefailure of this crucial step led to unsuccessful deposition of PtRu on the Toray paper. Several methods were used toattempt to extract the PtRu metallic nanoparticles, but all of them failed. For example, normal filtering was unableto separate such small bimetallic nanoparticles. Drying the solution in an oven or under normal conditions is likelyto incorporate ionic and hydrolyzed species (see Chapter 4) with the final electrocatalyst and undesirable. Eventhrough this method was tried, it was not successful. Furthermore, it is a tedious and time-consuming process todry PtRu bimetallic nanoparticles and not practically worth undertaking.

Therefore, in the future, it is necessary to develop a novel but convenient method to extract the PtRu nanopar-ticles synthesized by simultaneous sonochemical reduction in order to evaluate their electrocatalytic performance.

5.4.2. Sequential Reduction

As described in Chapter 4, a tetrachloroplatinate solution containing 1 mg/mL PSS and 0.4 M 1-propanol wasinitially ultrasonicated to produce platinum colloids. A solution of RuCl3 and 0.4 M 1-propanol was mixed withthe Pt colloids. The final molar ratios of Pt(II) to Ru(III) were 5:1, 2:1, 1:1 and 1:2. The mixed solutions weresonicated until there were no further changes taking place in the UV-vis absorption spectra.

Figure 5.7 shows two cyclic voltammograms of PtRu prepared by sequential sonochemical reduction of themetallic ion precursor solutions, whose Pt(II) to Ru(III) molar ratios are 1:1 and 1:2, respectively. Due to the samereason as for the simultaneous sonochemical reduction samples mentioned in the previous subsection, high speedcentrifugation could not successfully extract the PtRu bimetallic nanoparticles from the 5:1 and 2:1 molar ratiosamples.

Both the 1:1 and 1:2 molar ratio samples exhibit similar basic features to a pure platinum electrocatalyst. Themethanol oxidation onset potentials of the PtRu bimetallic electrocatalyst in the 1:1 and 1:2 molar ratio samples arearound 0.3 VSCE and 0.4 VSCE, respectively. The same onset potential as the pure platinum catalyst indicates thatthe ruthenium atoms seem not to have been incorporated well among the platinum atoms in the PtRu nanoparticles

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Figure 5.7: Cyclic voltammograms of PtRu nanoparticles synthesized by the sequential sonochemical method:cyclic voltammogram of PtRu observed after 5 hours sequentially sonochemical reduction of an aque-ous solution of 1 mM K2PtCl4 containing 1 mg/mL PSS and 0.4 M 1-propanol followed by the reductionof 1 mM RuCl3 under an Ar saturated atmosphere. The ultrasound frequency used was 630 kHz andthe total power was 20 W. The acidic electrolyte used was 1 M methanol and 0.1 M H2SO4 solutionand the scan rate was 20 mV/s. The area of the electrode was 0.75 cm2 in each case.

formed by sequential sonochemical irradiation.As showed in Chapter 4, the composite PtRu nanoparticles prepared by sequential sonochemical reduction

clearly have a core-shell structure (see Figure 4.16). A layer of ruthenium was formed around the platinumparticles. According to the mechanism of the bifunctional effect, platinum is responsible for chemisorption and

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dehydrogenation of methanol. Therefore, the outside ruthenium shell-layer is a barrier, screening methanol fromthe platinum core. As described in Subsection 5.3.2, there is almost no methanol chemisorption and oxidationon the surface of the ruthenium at normal temperatures. Thus, the ruthenium shell-layer between platinum andmethanol seriously retards the efficiency of the electrocatalytic process. In addition, although the outside atomiclayer of ruthenium easily dissociates water molecules to form Ru-OH, it is difficult for the carbon monoxideresidues on the platinum to diffuse through ruthenium barrier to react with Ru-OH.

Apart from the core-shell structured PtRu catalyst, the sequential ultrasonic synthesis also provides a numberof individual platinum and ruthenium nanoparticles. Due to the loose incorporation between these platinum andruthenium particles, the synergistic promotion by ruthenium can not occur with bifunctional mechanism and ligandeffects. This may be the main reason for low electrocatalytic performance of PtRu synthesized through sequentialsonochemical reduction.

Section 5.5Hybrid Synthesis Method

The hybrid synthesis method, namely ultrasonic irradiation followed by chemical reduction, was carried out toinvestigate the changes of electrocatalytic performance of sequentially ultrasonicated PtRu nanoparticles. 60 µLquantities of 150 mM sodium borohydride solution were added dropwise into the two sequential sonochemicallyirradiated PtRu solutions (Subsection 5.4.2).

Figure 5.8 shows two cyclic voltammograms of PtRu prepared by sequential sonochemical reduction of thePt and Ru metallic ion precursor solutions followed by sodium borohydride reduction. It can be seen that themethanol oxidation onset potentials of these two PtRu bimetallic electrocatalysts prepared by the hybrid reduc-tion method is slightly shifted to about 0.2 VSCE. The negative shift of onset potentials shows that subsequent tochemical reduction the incorporation of platinum and ruthenium is strengthened. The strong reducing conditionsenable the ruthenium oxide and hydrolyzed species, which are not completely reduced during ultrasonic irradia-tion, to convert into Ru(0). Therefore, a small amount of the subsequently formed ruthenium particles are possiblyincorporated with pre-existing platinum nanoparticles to form PtRu composite catalysts. This incorporation may

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Figure 5.8: Cyclic voltammograms of PtRu observed after 5 hours of sequential sonochemical reduction of anaqueous solution of 1 mM K2PtCl4 containing 1 mg/mL PSS and 0.4 M 1-propanol followed by thereduction of 1 mM RuCl3 under an Ar saturated atmosphere and sequentially followed by reactionwith 80 µL of 150 mM sodium borohydride. The ultrasound frequency used was 630 kHz and the totalpower was 20 W. The acidic electrolyte used was 1 M methanol and 0.1 M H2SO4 solution and thescan rate was 20 mV/s. The area of the electrode was 0.75 cm2 in each case.

lead to the negative shift of the methanol oxidation onset potential.In addition, it can be observed that there was no significant effect of element component ratio on the onset

potential in cyclic voltammograms. However, compared to the cyclic voltammograms of the sequential sono-chemical reduced samples, the methanol oxidation onset potential of the 1:1 molar ratio sample shifted from 0.3

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VSCE (Figure 5.7a) to 0.2 VSCE (Figure 5.8a) , while that of the 1:2 molar ratio sample shifted from 0.4 VSCE

(Figure 5.7b) to 0.2 VSCE (Figure 5.8b). It is known that platinum nanoparticles act as a catalyst to provide theelectron reduction pathway to reduce ruthenium ions to form ruthenium nanoparticles (discussed in Chapter 4).Compared to the 1 mM K2PtCl4 and 1 mM RuCl3 case, in the case of 1 mM K2PtCl4 and 1 mM RuCl3, completesonochemical reduction of platinum ions can provide more platinum catalytic sites for the ruthenium reduction.Thus, more of the ruthenium oxide and hydrolyzed species remain in the 1:2 molar ratio system than in the 1:1molar ratio system after same sonication period. This may be the reason for the lower methanol oxidation onsetpotential with the 1:1 molar ratio sample. Due to its strong reducing ability, sodium borohydride can easily con-vert Ru(III) into Ru(0). Therefore, the 1:2 molar ratio system, with a comparatively large amount of hydrolyzedruthenium species can form more ruthenium particles and consequently has a higher possibility of incorporatingwith platinum. This may be the reason for the more negative shift observed in the 1:2 molar ratio system.

Section 5.6Radiolytic Synthesis Method

The γ-radiolysis technique is widely used to synthesize a broad range of nanometer size materials, due to its highenergy rays. The detailed mechanism and reactions are discussed in the Section 2.3 of Chapter 2. It is well-knownthat due to its high energy, γ-rays are able to disassociate water molecules of the solvent into highly reactivespecies, such as H•, OH• and e−aq. The strongly reducing H• and e−aq species have the ability to convert almost allmetal ions into zerovalent metals [154, 186, 188].

Similar to the chemical and sonochemical methods, the sequential and simultaneous methods are used inthis section to investigate the effects of different processes on the catalytic performance of the PtRu bimetallicnanoparticles formed.

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5.6.1. Sequential Reduction

An absorbed dosage rate of 0.0144 Gy/min of γ-rays was used to irradiate an 30 mL aqueous solution containingK2PtCl4, 1 mg/mL PSS and 0.4 M 1-propanol for 30 min. After the platinum ions were completely reduced,a RuCl3 solution at a certain concentration was added to the reduced platinum colloids. The γ-irradiation wascontinued of the solution mixture until there were no significant changes in the UV-vis spectra (30 min). Byadjusting the concentration ratios of K2PtCl4 to RuCl3, the ratios of Pt(II) to Ru(III) in the precursor solution wereset to 5:1, 2:1, 1:1 and 1:2.

Figures 5.9a-5.9d show the cyclic voltammograms of PtRu synthesized by sequential radiolytic reduction ofprecursor solutions whose Pt(II) to Ru(III) molar ratios were 5:1, 2:1, 1:1 and 1:2. The 5:1, 2:1 and 1:1 molar ratiosshow the basic characteristics of pure platinum cyclic voltammograms whose methanol oxidation onset potentialis around 0.3 VSCE. However, the onset potential of the 1:2 molar ratio PtRu shifts to 0.2 VSCE. This negative shiftindicates that the high proportion of ruthenium ions in the precursor solution is likely to lead to comparativelystronger incorporation between platinum and ruthenium during the radiolytic irradiation. This observation wasalso reflected in the shifts of the methanol oxidation peaks. As a general trend, the shift of the methanol oxidationpeak to negative voltage increases with an increase of the ruthenium component in the initial solutions duringγ-ray irradiation.

It is worthwhile to point out that the platinum-ruthenium bimetallic nano-electrocatalysts prepared by thesequential method applied during the chemical, sonochemical and radiolytic synthesis do not possess high elec-trocatalytic properties. According to the mechanism of bifunctional mechanism and ligand effect, the PtRu com-posite nanoparticles with more adjacent sites and boundaries between these two components have the potentialto demonstrate better methanol oxidation ability and more synergistic promotions. The sequential reduction pro-cess requires that one component (normally platinum particles) is produced first and followed by reduction of thesecond type precursor ions (normally ruthenium). This particle synthesis method is likely to lead to the forma-tion of core-shell structure bimetallic nanoparticles and independent, dispersed platinum and ruthenium metallicnanoparticles. As discussed before, the core-shell structure inhibits the influence of bifunctional mechanism andligand effect and consequently retards the methanol oxidation process. For the independently formed platinum

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Figure 5.9: Cyclic voltammograms of PtRu observed after 3 hours sequential radiolytic reduction of an aqueoussolution of 1 mM K2PtCl4 containing 1 mg/mL PSS and 0.4 M 1-propanol followed by the reductionof 1 mM RuCl3 under an nitrogen saturated atmosphere. The absorbed dosage rate of γ-ray was0.0144 Gy/min. The acidic electrolyte used was 1 M methanol and 0.1 M H2SO4 solution and thescan rate was 20 mV/s. The area of the electrode was 0.75 cm2 in each case.

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and ruthenium nanoparticles, it is difficult, especially in the presence of surfactant, to create a proper environmentwhich can produce a synergistic promotion through a bifunctional mechanism and ligand effect.

5.6.2. Simultaneous Reduction

Four 30 mL aqueous solutions of various K2PtCl4 RuCl3 concentrations including 1 mg/mL PSS and 0.4 M 1-propanol were irradiated by a γ-radiolysis at absorbed dosage rate of 0.0144 Gy/min. In these cases, the Pt(II) andRu(III) were reduced by radiolysis simultaneously.

Figure 5.10 shows the cyclic voltammograms of the PtRu catalysts prepared by simultaneous radiolytic reduc-tion. The platinum to ruthenium salt ratios in the precursor solutions of Figures 5.10a-5.10c are 5:1, 2:1, 1:1 and1:2, respectively.

The peaks, corresponding to methanol oxidation, of the 5:1, 2:1 and 1:2 platinum and ruthenium molar ratios,are located at around 610 mV, while that of the 1:1 molar ratio sample is at 480 mV. Furthermore, the methanoloxidation onset potentials of these four different ratios sample are 0.3, 0.3, 0.1 and 0.2 VSCE, respectively. Inaddition, the oxidation peak of the 1:1 molar ratio PtRu during the reverse scan almost completely disappears,which is similar to the basic features of the PtRu alloy electrocatalyst [296]. Due to the successful incorporationof platinum and ruthenium, the presence of ruthenium suppresses the CO poisoning process on the surface ofplatinum and completely removes the carbonaceous residues. All these observations prove that the PtRu synthe-sized by simultaneous radiolytic reduction of the 1:1 Pt(II) to Ru(III) molar ratio precursor solution exhibits betterelectrocatalytic performance during methanol oxidation.

As discussed before, the PtRu catalysts ability to oxidize methanol is determined by the ambient temperature,ruthenium composition, the number of adjacent sites and boundaries of ruthenium and platinum, the surface statusof the catalyst, the nature of the catalyst supports, and so on. Furthermore, the electro-oxidation of methanol isa complicated process. As a result, the optimum Ru content in PtRu catalysts is quite different to achieve fordifferent systems. Based on the bifunctional mechanism of the surface Reaction 5.13 between Pt-CO and Ru-OH,50% of ruthenium surface composition is likely to maximize the bifunctionality and ligand effects, due to the max-imization of the number of PtRu neighbors and boundaries. However, this 50% ruthenium atomic coverage works

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Figure 5.10: Cyclic voltammograms of PtRu observed after 3 hours simultaneous radiolytic reduction of an aque-ous solution of 1 mM K2PtCl4 and 1 mM RuCl3 containing 1 mg/mL PSS and 0.4 M 1-propanolunder a nitrogen saturated atmosphere. The absorbed dosage rate of γ-ray was 0.0144 Gy/min.The extraction method was centrifugation. The acidic electrolyte used was 1 M methanol and 0.1M H2SO4 solution and the scan rate was 20 mV/s. The area of the electrode was 0.75 cm2 in eachcase.

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only at high temperature, as the methanol adsorption, dehydrogenation and water disassociation arrive at an equi-librium. When the temperature drops down to room temperature, the dehydrogenation of methanol on the surfaceof platinum becomes the rate-determining step of the overall reaction. According to the Reactions 5.4-5.7 and Fig-ure 5.2, the dissociation of an adsorbed methanol molecule needs three neighboring platinum sites [266, 293]. Asa result, the PtRu catalysts with a good portion of an arrangement of three adjacent Pt sites may provide greaterelectrocatalytic activity. Due to the complicated condition for methanol oxidation, various optimal rutheniumcontents have been reported [266, 293] for different systems.

During the simultaneous radiolytic reduction of platinum and ruthenium ion mixtures, the rate of each compo-sition formation is determined by the reduction potentials of Pt(0) and Ru(0), and also the chance of encounteringH•, R• and e−aq generated by γ-ray irradiation (see Figure 2.18). The formed atoms may aggregate and growthrough coalescence and an autocatalytic process. Due to the presence of mixing various atoms, it is possiblethat heterogeneous aggregation takes place to form alloys or island composite nanoparticles. Consequently, thisheterogeneous distribution of Pt and Ru in the bimetallic nanoparticles provides more adjacent and neighboringdomains, in which the electrocatalytic ability of platinum is significantly promoted by the presence of rutheniumatoms. Consequently, the ratio of platinum to ruthenium ions in the precursor solution plays an important role indetermining the actual composition and distribution of each metal in the PtRu catalyst.

Rather than using the centrifuging process, a 100°C, low pressure oven was used to heat-treat and dry thePtRu catalyst synthesized by simultaneous radiolytic reduction in a nitrogen atmosphere. Figure 5.11 showsthe cyclic voltammograms of these heat-treated PtRu bimetallic nanoparticles. Compared to the PtRu catalystwith centrifuging extraction (see Figure 5.10), the heat treatment does not exert any remarkable influence on theelectrocatalytic performance of the PtRu particles. This negligible influence may be due to the fact that the lowtemperature heat-treatment is unable to strengthen the alloying effect between platinum and ruthenium.

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Figure 5.11: Cyclic voltammograms of PtRu observed after 3 hours simultaneous radiolytic reduction of an aque-ous solution of 1 mM K2PtCl4 and 1 mM RuCl3 containing 1 mg/mL PSS and 0.4 M 1-propanolunder an nitrogen saturated atmosphere. The absorbed dosage rate of γ-ray was 0.0144 Gy/min.The extraction method was oven drying at 100°C. The acidic electrolyte used was 1 M methanoland 0.1 M H2SO4 solution and the scan rate was 20 mV/s. The area of the electrode was 0.75 cm2

in each case.

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Section 5.7Comparison of Onset Potentials

Table 5.1 lists all the methanol oxidation onset potentials of different PtRu molar ratios catalysts synthesized byvarious methods and different processes. It can be seen that all the PtRu bimetallic particles formed with chemical,sonochemical and radiolytic method are all of nanometer size range. As a result, the high surface area of the PtRuin all case has sufficient coordination sites to oxidize methanol.

According to Table 5.1, the PtRu synthesized by the simultaneous reduction method generally is more activethan that prepared by sequential method. As discussed before, simultaneous synthesis is likely to strengthen thealloying structure of platinum and ruthenium.

Table 5.1: The influence of synthesis methods, the initial concentration ratios of platinum to ruthenium ions andthe extraction methods on the methanol oxidation onset potentials of PtRu bimetallic nanoparticles.

SynthesisMethod

ReductionMethod

ExtractionMethod

Onset Potential (VSCE)5:1 2:1 1:1 1:2

Chemical Sequential Centrifuging 0.3 0.3 0.3 0.26Simultaneous Centrifuging 0.3 0.2 0.14 0.10

Sonochemical Sequential Centrifuging - - 0.3 0.4Simultaneous Centrifuging - - - -

RadiolyticSequential Centrifuging 0.3 0.3 0.28 0.2Simultaneous Centrifuging 0.3 0.3 0.1 0.2Simultaneous Oven drying 0.3 0.3 0.1 0.3

In addition, the onset potential of PtRu electrocatalyst generally decreases with an increase of ruthenium ionsin the precursor solution. Due to the higher reduction potential of ruthenium compared to that of platinum, an

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increase in concentration of ruthenium is able to increase the possibility of encountering reducing agents.The synergistic performance of a second element addition in methanol oxidation at the Pt catalysts is deter-

mined by how efficiently and effectively the second element lowers the potential of water dissociation, weakensthe CO chemisorption, and enhances the electro-oxidation of methanol residues on platinum. As described above,none of the binary alloy catalysts, even the PtRu catalyst, possess all of these promoting effects together. Conse-quently, introduction of a third or fourth component is expected to give rise to all the enhancing promotions intoone alloy system [266, 268, 293].

Radiolytic reduction seems to be an effective synthetic method to produce high electrocatalytic performancecatalysts. When the ion ratio of platinum to ruthenium is 1:1, the prepared PtRu bimetallic nanoparticles exhibitoptimal electrocatalytic activities. The simultaneous sonochemical irradiation has potential to achieve synthesisof high performance electrocatalyst.

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In the beginning, God said, Let there be light: and there waslight.. . . . . .In the beginning, XiaoHe said, Let there be synergism, and therewas NO synergism.

XH

6Sonophotocatalytic Degradation of Methyl

Orange

As indicated earlier, the OH• radicals formed during the sonolysis of water have a high oxidation po-tential (refer Chapter 2). In this chapter, the optimization for utilizing this oxidizing species for thedegradation of methyl orange is systematically described. A number of experimental runs were carriedout to evaluate the correlation between the efficiencies of individual systems (sonolysis or photocatal-

ysis) and for the combined process of sonophotocatalysis, and the operation conditions. An orthogonal array ofexperimental design was adapted to establish the correlation between operation parameters and the performancesof sonolysis, photocatalysis and sonophotocatalysis, especially the synergism of the combined system.

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Section 6.1Introduction

Azo dyes are used in a wide range of processes in textile, paper, food, cosmetics and pharmaceutical indus-tries [297]. More than half the commercial dyes belong to azo dye group, which contain the azo group−N=N− aspart of their molecular structure. Usually the azo group is directly attached to benzene or naphthalene derivatives,possessing electron-accepting and electron-donating groups.

Methyl orange is a typical azo dye and a well-known pH indicator (pH 3.2 - 4.4 [26]). Figure 6.1a shows thespeciation associated with the color changes of methyl orange, as the pH is changed.

N N NCH3

CH3

S

O

O

-O

H+OH-

N N NCH3

CH3

S

O

O

-O

H+

N N NCH3

CH3

S

O

O

-OH+

HN N N

CH3

CH3

S

O

O

-O

β α

(a) Mechanism of methyl orange as apH indicator.

200 250 300 350 400 450 500 550 6000

0.05

0.1

0.15

0.2

0.25

0.3

0.35

0.4

0.45

Wavelength (nm)

Abs

orba

nce

pH = 2

pH = 3

pH = 4

pH = 5

pH = 6

pH = 7

pH = 8

pH = 9

(b) Influence of pH on UV-vis spectra of methyl or-ange aqueous solution.

Figure 6.1: pH Indicator: the mechanism of pH indicating ability of methyl orange and changes of UV-vis spectrawith pH .

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Figure 6.1b shows the changes of absorption spectra of methyl orange with varying pH values. Above pH 4.4in aqueous solution, methyl orange exists as the azo form (yellow color). This form has a maximum absorptionwavelength of 504 nm and the molar absorption coefficient at this wavelength is 3.89× 104 L mol−1 cm−1. Whenthe pH shifts to strongly acidic, the protonation of methyl orange occurs and methyl orange exists as the azoniumtautomer. The maximum absorption wavelength shifts to 465 nm, giving a red colored adsorption and the molarabsorption coefficient at this wavelength is 2.61 × 104 L mol−1 cm−1. Due to the different forms of methylorange and consequently different properties at different pH, it is necessary to consider the effect of pH during thedegradation of methyl orange by different oxidation processes.

Section 6.2Orthogonal Array Experimental Design

Orthogonal design is an effective method of designing experiments which usually requires only a fraction of thefull factorial combinations. An orthogonal array means the design is balanced so that factor levels are weightedequally and the primary goal is to find a factor set that can be adjusted to maximize the output. Consequently,orthogonal array design can evaluate each factor independently of all the other factors [298].

6.2.1. Experimental Design

A four level of four factors orthogonal array L16(44) was applied to optimize the degradation efficiency ofsonolytic, photocatalytic and sonophotocatalytic processes and also to understand the synergistic effect betweensonolysis and photocatalysis.

The chosen levels of the four factors and their values are shown in Table 6.1. Ultrasonic frequency and powerare the main parameters of the sonolytic degradation. The pH values play an important role in controlling themolecular forms of the dye and the adsorption affinity between the dye and photocatalyst. From pH 2 to pH 7, theselected pH values include below, around and above the pKa (pH 3.2 - 4.4) of methyl orange and the isoelectricpoint of TiO2 (pH 6.2). The dosage of the photocatalyst not only exerts influence on photocatalysis efficiency,

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but also affects sonolysis. Each level for each variable was chosen according to the preliminary experiments andpractical experimental conditions.

Table 6.1: The factors and levels of the L16(44) orthogonal array during sonolysis, photocatalysis and sonopho-tocatalysis of methyl orange.

Factors / Levels Level I Level II Level III Level IV

Frequency (kHz) 213 355 647 1056Power (mW/mL) 16 88 55 35

pH 7 4 3 2Dosage of TiO2 (mg/mL) 1.0 2.0 5.0 0.5

The L16(44) factorial experimental matrix is shown in Table 6.2. Sixteen experiments in a sequential orderwere carried out to fulfil the factorial design. During the present orthogonal array design of experiments, thedegradation efficiencies (degradation rate constants) during first 60 minutes were calculated from the changesin methyl orange concentration. The kinetics and mechanism for the advanced oxidation processes of sonolysisand photocatalysis are still unclear, although a number of individual sonochemical and photocatalytic reactionsteps have been reported. In most reports a simple semilogarithmic plot of ln(C0/Ct) as a function of time isused to discuss and compare the results. The obtained data were found to roughly obey first order kinetics fromwhich the rate constants could be determined. The rate constants were compared to find the optimal combinationconditions for sonolysis, photocatalysis and sonophotocatalysis. The detailed results analysis of orthogonal arrayexperimental design were discussed in Appendix C.

6.2.2. Photocatalysis

The influence of the four selected condition factors on the photocatalysis of methyl orange is shown in Figure 6.2and Table C.3. By comparing the differences between the maxima and minima mean values of the rate constants

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Table 6.2: Experimental matrix: the L16(44) orthogonal array design.

Run No. I II III IV Run No. I II III IV

1 1 1 1 1 9 3 1 3 42 1 2 2 2 10 3 2 4 33 1 3 3 3 11 3 3 1 24 1 4 4 4 12 3 4 2 15 2 1 2 3 13 4 1 4 26 2 2 1 4 14 4 2 3 17 2 3 4 1 15 4 3 2 48 2 4 3 2 16 4 4 1 3

for each factor group, it can be seen that pH and dosage of TiO2 have a relatively stronger influence on theefficiency of photocatalysis than ultrasonic frequency and power∗. This result is in good agreement with theexperimental outcomes that the two main parameters of ultrasound did not exert any influence on photocatalyticdegradation as ultrasound was not applied during photocatalysis. Thus, emphasis was directed at investigating theinfluence of pH values and dosage of TiO2 on the efficiency of photocatalytic degradation of methyl orange.

6.2.2.1. Dependence on pH

Based on the observation from Figure 6.2, the solution pH is one of the factors that control the reaction rate of pho-tocatalytic degradation process. According to the mechanism of photocatalysis (Figure 2.20), the overall degrada-

∗It should be pointed out that in Table C.3, there exist some deviations with different ultrasonic frequency and power during photo-catalysis. The reason of these deviations is due to the different combination of pH and TiO2 loading. It can be seen from Table 6.2, thereis no duplicate factorial combination, even when only pH and TiO2 loading are taken into account. An orthogonal array requires that allthe factorial levels involved are weighted equally. Thus, any set of factor combinations, or a part of this set, is unique within the wholearray.

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213 355 647 1056 16 35 55 88 pH2 pH3 pH4 pH7 0.5 1.0 2.0 5.01.35

1.4

1.45

1.5

1.55

1.6

1.65

1.7

1.75

1.8

1.85

Mea

n of

Firs

t Ord

er R

ate

Con

stan

ts (

×10−2

min

−1)

kHz

FrequencymW/mL

Power pH Dosage of TiO2

mg/mL

Figure 6.2: Photocatalytic degradation process optimization during oxidation of 100 µM methyl orange in aqueoussolution.

tion efficiency is determined by the competition between the photo-generated recombination of free charge-carrierand trapping of the charged carriers by the organic pollutants. Thus, adsorption of organic molecules on the surfaceof the photocatalyst is important during the photocatalytic oxidation process.

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According to Figure 6.2, the photocatalytic degradation of methyl orange is slower at pH 4 and is markedlyfaster at both pH 2 and pH 7. As mentioned before, the pH has the ability to influence the adsorption of dye ontothe surface of the semiconductor particles. In addition, it also affects the formation of reactive OH• radicals, thatplay an essential role in the degradation process. A neutral environment (pH 7) is beneficial in forming activeOH• radicals due to an improved transfer of holes to the adsorbed OH− ions on the semiconductor surface [299].However, the adsorption process on the semiconductor surface is inhibited by the repulsive forces between thenegatively charged TiO2 nanoparticles and the anionic dye. At pH 2, due to the electrostatic attraction of positivelycharged TiO2 nanoparticles and the anionic dye, a strongly acidic environment facilitates the adsorption of the dyeat the semiconductor/solution interface. Thus, the photocatalytic degradation of methyl orange is faster at pH 2and pH 7. At pH 4, the results of separate dye adsorption experiment show that there is negligible dye adsorptionon the surface of photocatalyst particles. Furthermore, a moderate production of active surface radicals is likelyto lead to the lowest decomposition rate. Based on the observed results, the adsorption effect seems to dominatethe photocatalysis process at pH 2 and the formation of more reactive radicals predominates over the adsorptionprocess at pH 7.

6.2.2.2. Dependence on Dosage of TiO2

In the photocatalytic process, the dosage of TiO2 is another important parameter that can affect the degradationefficiency. As indicated in Figure 6.2, the relationship between the degradation rate constant of methyl orange andthe amount of TiO2 is complex. An increase in the dosage of TiO2 from 0.5 mg/mL to 2.0 mg/mL leads to anenhancement in the degradation of methyl orange. It can be seen that the optimal amount of TiO2 in photocatalyticdegradation of methyl orange is 2.0 mg/mL. It is well known that the addition of more photocatalysts into thesolution provides more reaction sites for producing OH• and leads to the adsorption of more organic pollutantsonto the surface of TiO2 nanoparticles [232, 300]. The adsorption activity of the photocatalyst can enhance thereaction between the photo-generated charged carriers and the pollutant molecules. In addition, the presenceof more TiO2 photocatalyst is likely to result in better absorption of UV light leading to the formation of morereactive species.

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Above 2.0 mg/mL, the degradation efficiency decreased. This is most likely the result of the UV light pene-tration into the bulk suspension being reduced by excess TiO2 particles, and therefore a reduction in the excitationof TiO2 and the amount of reactive charge-carriers. Furthermore, a relatively high catalyst loading may enhancethe aggregation of TiO2 particles which leads to a decrease in the efficiency of photocatalysis.

6.2.3. Sonolysis

As shown in Figure 6.3 and Table C.2, the influence of the four factors on the sonochemical degradation of methylorange is significantly different compared to their influence on the photocatalytic decomposition. Comparing thedifferences between the maxima and minima of the average rate constants of each group, ultrasonic frequencyand power have a more pronounced effect on the efficiency of sonolysis than pH and TiO2 loading. These resultsindicate that the cavitation activity as would be expected, plays a key role in the sonochemical degradation oforganic pollutants.

6.2.3.1. Dependence on Ultrasonic Power

Figure 6.3 indicates that the ultrasonic power is the most important parameter for the sonolysis of methyl orange.An increase in ultrasonic power can dramatically increase the methyl orange degradation process. This is mostprobably due to a greater number of bubbles being created and more violent cavitation taking place at higherpower levels.

Figure 6.4 shows the radius ratio∗ and temperature-time curves of a 5 µm air bubble under different ultrasonicpowers. These curves were generated by numeric solutions using the Rayleigh-Plesset Equation (see Equation 2.4)at a frequency of 213 kHz. The power of ultrasound greatly changes the behavior of bubble cavitation. Enhancingthe bubble growth by rectified diffusion leads to increasing the average bubble size and hence the collapse temper-ature. When the power density is 16 mW/mL, the maximum radius of the bubble is just slightly larger (1.4 times)

∗The radius ratio refers to the ratio between R(t) and R0, i.e. R(t)/R0. R(t) is the cavitation bubble radius as function of time underthe time-varying acoustic pressure. See Chapter 2 for more details.

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213 355 647 1056 16 35 55 88 pH2 pH3 pH4 pH7 0.5 1.0 2.0 5.00

0.5

1

1.5

2

2.5

3

3.5

4

Mea

n of

Firs

t Ord

er R

ate

Con

stan

ts (

×10−2

min

−1)

kHz

FrequencymW/mL

Power pHmg/mL

Dosage of TiO2

Figure 6.3: Sonochemical degradation process optimization during oxidation of 100 µM methyl orange in aqueoussolution.

than the original radius, while it can reach 4 times the original radius at 88 mW/mL. The same trend occurs withmaximum temperatures (Tmax) reached within the bubbles. The Tmax rises from 450 K to 4500 K, almost 10 times,when the power increases from 16 mW/mL to 88 mW/mL. The increase in radius and temperature demonstrates

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that higher applied acoustic power gives rise to more violent collapses. The increase of collapse intensity leads toa corresponding increase in sonoluminescence intensity and yield of primary radicals which consequently improvethe degradation reactions.

In addition, increasing acoustic power has a significant effect on increasing the population of active bubbles,rate of rectified diffusion and bubble clustering [11, 53, 301]. The increase of the bubble population results inenhancing the chemical effects of ultrasound. Thus, the influence of applied ultrasonic power is a mixture ofvarious effects brought by the applied power and they affect the whole system together.

6.2.3.2. Dependence on Ultrasonic Frequency

The frequency of the ultrasound is the second important parameter in the sonochemical degradation of methylorange as shown in Figure 6.3. The influence of the applied ultrasound frequency on the rate of the degradationreaction is attributed to the effect on the cavitation activities of bubbles, as it brings the changes to the critical sizeof the cavitation bubbles and the active bubble population. When the ultrasound frequency is varied whilst keepingthe power constant, it can give rise to changes in one or both of these two factors. However, the influence ofultrasonic frequency is unclear and complicated. A number of studies [44, 302] on cavitation bubble temperaturedetermination showed that ultrasonic frequency has negligible effect on the average temperature of the wholeultrasonic irradiation, taking into account the level of water content entering the bubble. From this point of view,the effect of ultrasonic frequency on chemical reaction is attributable to its influence on bubble population.

As mentioned in Chapter 4, the frequency of ultrasonic irradiation has a great impact on the ruthenium ionreduction (see Figure 4.4b). The optimum frequencies for the reduction of ruthenium ions are 213 kHz and355 kHz due to a moderate active bubble population and average size of the collapsing bubbles. This result isin agreement with the observation in Figure 6.3. 213 kHz and 355 kHz are also the optimum frequencies forsonochemical degradation of methyl orange due to the highest yield of primary radicals at these two frequencies.

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0 10 20 30 400

2

Rad

ius

Rat

io

Time (µs)0 10 20 30 40

0

500

Tem

per

atu

re (

K)

(a) 16 mW/mL

0 10 20 30 400

1

2

3

Rad

ius

Rat

io

Time (µs)0 10 20 30 40

0

500

1000

1500

Tem

per

atu

re (

K)

(b) 35 mW/mL

0 10 20 30 400

0.5

1

1.5

2

2.5

3

3.5

Rad

ius

Rat

io

Time (µs)0 10 20 30 40

0

500

1000

1500

2000

2500

3000

3500

Tem

per

atu

re (

K)

(c) 55 mW/mL

0 10 20 30 400

5

Rad

ius

Rat

io

Time (µs)0 10 20 30 40

0

5000

Tem

per

atu

re (

K)

(d) 88 mW/mL

Figure 6.4: Influence of Ultrasonic Power: radius ratio and temperature of a typical air bubble as a function oftime under the influence of different ultrasound powers. The initial radius is 5 µm at 213 kHz. Theradius ratio-time curve (blue solid line) is generated using the Rayleigh-Plesset Equation taking intoaccout damping. The green solid lines are the corresponding temperature curves.

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6.2.3.3. Dependence on pH

The solution pH plays a key role in determining the molecular structure of the dye and the affinity between dyeand photocatalyst. For more details, see the discussion of pH influence in Section 6.1 and Subsection 6.2.2.1. Inorder to clarify the influence of pH on sonolysis, an separate sonochemical degradation of methyl orange at twodifferent pH was carried out as shown in Figure 6.5. Furthermore, there was no TiO2 present in these experiments.The observed results in Figure 6.5 illustrate that there is a slight influence of pH , implying there is not a largedifference between the surface activity and volatility of the two different methyl orange molecular forms. Bothtautomers behave similarly in solution and have a similar degradation rates.

6.2.3.4. Dependence on Dosage of TiO2

A number of studies [215, 216, 218, 219, 221, 228] have shown the sonochemical degradation of an organic solutemay be intensified in the presence of solid particles in the solution. The existence of particles seems to provideadditional nuclei for cavitation. However, in our case, the effect of TiO2 nanoparticles was not observed in thesonolysis of methyl orange (see Figure 6.3).

An independent experiment was carried out to systematically investigate the effect of photocatalyst particleson the sonolysis of methyl orange. It is evident that the presence of TiO2 nanoparticles has a negligible effect onthe degradation rate, as shown in Figure 6.6.

6.2.4. Sonophotocatalysis

As described in Subsection 2.4.3, each factor in the combined system, sonophotocatalysis, inherits a similar in-fluence from an individual application. For example, ultrasonic power and frequency can influence a sonophoto-catalytic system in the same way as in a sonolysis process. However, in a sonophotocatalytic degradation system,there are more factors in need of consideration, resulting from the interaction of the two processes.

Figure 6.7 and Table C.4 demonstrate the influence of each factor on the sonophotocatalytic degradation ofmethyl orange. Ultrasonic power and frequency are still the predominate factors, while pH is a less important fac-

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0 20 40 60 80 100 120 140 160 180 2000

10

20

30

40

50

60

70

80

90

100

Time (min)

Co

nce

ntr

atio

n (

µM)

pH2pH7

Figure 6.5: The influence of pH on the sonochemical degradation of methyl orange. The ultrasound frequencyused was 213 kHz and the total power was 35 mW/mL.

tor. Compared to these three factors, dosage of TiO2 is the least important factor affecting the sonophotocatalyticdegradation of methyl orange.

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0 10 20 30 40 50 600

20

40

60

80

100

120

140

160

Time (min)

[H2O

2] (µ

M)

1 mg/mL TiO2

Without TiO2

Figure 6.6: The influence of the presence of TiO2 on the sonochemical degradation of methyl orange. Theultrasound frequency used was 213 kHz and the total power was 35 mW/mL.

6.2.4.1. Dependence on Ultrasonic Power

The same power of applied ultrasound has the same functions as in sonolysis. The rate constant during sonopho-tocatalytic degradation of methyl orange increases with an increase in the applied ultrasonic power. At the lowestpower level, 16 mW/mL, the sonophotocatalytic degradation reaction appears to be faster than that of sonolysis

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213 355 647 1056 16 35 55 88 pH2 pH3 pH4 pH7 0.5 1.0 2.0 5.0

1.6

1.8

2

2.2

2.4

2.6

2.8

3

3.2

3.4

3.6

Mea

n of

Firs

t Ord

er R

ate

Con

stan

ts (

×10−2

min

−1)

kHz

FrequencymW/mL

Power pH Dosage of TiO2

mg/mL

Figure 6.7: Sonophotocatalytic degradation process optimization during oxidation of 100 µM methyl orange.

process alone as the photocatalytic process contributes to the whole degradation in the combined system. Thereare a number of reasons behind the influence of applied ultrasonic power.

Varying ultrasonic power leads to a change in the bubble population, average bubble size, the growth processof a bubble, clustering structure of a bubble cloud and as well as the variety of chemical effects induced by

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ultrasound. These chemical effects of ultrasound can provide an extra source of the highly reactive OH• tocontribute to a faster degradation.

In a sonophotocatalysis system, the intensification of ultrasound affects the process of photocatalysis by itschemical effects as well as by physical effects. Higher power ultrasound is able to provide a much strongercleaning effect, which reactivates the blocked active sites of the TiO2 photocatalyst. Higher power ultrasound alsodeaggregates clustered TiO2 nanoparticles and consequently increases the available active sites for photocatalyticreactions.

Obviously, the influence of ultrasonic power on a sonophotocatalytic system results from not only the effectsthrough sonochemical degradation, but also the coupling interaction between sonolysis and photocatalysis.

6.2.4.2. Dependence on Ultrasonic Frequency

Similar to the sonolysis, applied acoustic frequency is a significant parameter involved in determining the optimalreaction conditions in sonophotocatalysis. As depicted in Figure 6.7, the methyl orange sonophotocatalytic degra-dation efficiency decreases with an increase of applied frequency in the order 355 > 213≈ 647 > 1056 kHz. Thisresult is almost the similar as obtained in sonolysis. The similar influence on the average first-order rate constantsof ultrasonic frequency in sonolysis and sonophotocatalysis implies the effect of frequencies is independent of theprocess of the photocatalysis. On the other hand it can be suggested that the influence of ultrasonic frequency onthe interaction between sonolysis and photocatalysis is insignificant compared to its effect on the sonolytic processalone.

Figure 6.8 shows the sonoluminescence intensity as a function of ultrasonic frequency. At the same acousticpower, the sonoluminescence intensity decreases significantly as the irradiation frequency increases. This phe-nomenon may be a consequence of a number of factors. It is well-known that the maximum temperatures (Tmax)of collapse cavitation bubble is mainly contributing to the sonoluminescence intensity [11, 12, 50, 272]. Lowerfrequency allows the bubble to undergo a relatively longer expansion cycle and thus increase the maximum sizeof the bubble at the point of collapse. It is acknowledged that the bigger bubble produce higher temperature whenthe bubble collapses (see Equation 2.6). As mentioned before, in practical experiments [44, 302], water content

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insider bubble is able to quench the temperature generated during cavitation, ultrasonic frequency does not exhibitsignificant effects on the average temperature of each bubble. Consequently, the influence of ultrasonic frequencyon bubble population is the main factor leading to the chemical effect of frequency.

The number of active bubbles contributes to the sonoluminescence intensity, but it goes the opposite directionwith frequency. An increase in the number of bubbles may be the reason why 315 kHz are the optimum frequenciesfor sonoluminescence intensity.

The most effective influence of ultrasonic frequency on the efficiency of sonophotocatalysis is due to thechanges in the amount of OH• radicals generated under different frequency ultrasound irradiation. It is knownthat the overall yield of OH• radicals is determined by the bubble population, bubble size and bubble lifetime.Although ultrasound is unable to change the number of pre-existing gas nuclei of the solution, it can alter theamount of offspring nuclei after the earlier collapse by exerting an effect on the bubble collapse behavior leadingto fragmentation of large bubbles. Altering the frequency of ultrasound can lead to changes to the minimum sizeon bubble collapse which results in changes in the average temperature formed during cavitation and as well asthe level of water content inside the bubble. Both the average bubble size and the amount of water vapor insidethe bubble determine the yield of OH• per bubble collapse. The frequency of ultrasound also contributes to thethreshold of bubble collapse which determines the population of active bubbles. The measurement of OH• radicalyield [12, 272] also proved that the frequency of 355 kHz are the optimum frequencies. Normally, the yield ofOH• per bubble oscillation increases with decreasing frequency as low frequency allows more water moleculesto evaporate into the bubbles during the expansion phase of a bubble oscillation leading to a higher yield of OH•per bubble collapse. However, the population of active cavitation bubbles at lower frequency is much smallerthan that in a higher frequency field. Thus 355 kHz have been found to be the optimum frequencies for thesonophotocatalytic degradation of methyl orange.

6.2.4.3. Dependence on pH

The solution pH has a complex effect on the degradation rates of the combined system. The effect of pH onthe sonophotocatalytic processes is related to the changing forms of the dye, alteration of the surface charge

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213 355 647 10560.1

0.15

0.2

0.25

0.3

0.35

Frequency (kHz)

Rel

ativ

e S

on

olu

min

esce

nce

Figure 6.8: Influence of Ultrasonic Frequency: the relative sonoluminescence intensity to pure water of 100 µMmethyl orange aqueous solution under the influence of different ultrasound frequencies. All ultrasonicpower under different frequencies was 55 mW/mL.

on the photocatalyst and the redox levels of the valence and conduction bands of the semiconductor [231, 232,234]. On the sonochemical side, pH has a significant effect on the hydrophobic/hydrophilic properties of thedye molecules. Furthermore, to some extent, the degradation pathway is also influenced by pH . In the case ofmethyl orange, pH 4 is unfavored for both photocatalytic and sonochemical degradation. In the environment of

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higher hydrogen ion concentration, both sonolysis and photocatalysis show higher degradation rate constants, butthe mechanism behind these observation is different. Faster degradation in sonolysis is due to an increase in thesurface active properties of the dye molecule and in photocatalysis it is due to an increase in adsorption extent. Ina sonophotocatalytic system, the combined effect of all that effects can be expected.

6.2.4.4. Dependence on Dosage of TiO2

In the degradation process using sonophotocatalysis , although the influence is not as strong as the other threefactors. The loading of TiO2 plays some role in influencing the whole degradation process. The average rateconstants decrease at 5.0 mg/mL loading. This may be due to the same reason as has been proposed in thediscussion of photocatalytic degradation, namely, that excess TiO2 nanoparticles are likely to scatter light andhence affect the activity of photocatalyst.

The lowest dosage of TiO2, 0.5 mg/mL, has a similar influence as at higher photocatalyst loading. This resultimplies that the combination treatment requires less catalyst loading in comparison with photocatalysis. TiO2

loadings as small as 0.5 mg/mL or less are sufficient to maintain an effective degradation rate in the sonophoto-catalytic degradation system. It also demonstrates that the presence of an ultrasonic field has a positive effect inassisting the degradation process of photocatalysis. Peller et al. arrived at a similar conclusion in their study onthe degradation of chlorinated aromatic compounds [258].

6.2.5. Synergistic Effects

The beneficial effects of two different separate processes always attract a considerable interest for evaluating theefficiency of a combined system. The Subsection 2.4.3 of Chapter 2 lists a number of reasons for the synergisticeffect in the combination of sonolysis and photocatalysis. However, it is difficult to isolate each factor and tocompare their influence on the synergistic effect as this beneficial effect is attributable to the overall consequenceof several factors.

The ratio of sonophotocatalytic rate constant and the summed rate constants of the individual processes was

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used to evaluate the synergistic effect of a combined system as shown in Equation 6.1.

S =ksonophotocatalysis

ksonolysis + kphotocatalysis(6.1)

where, ksonophotocatalysis, ksonolysis and kphotocatalysis are the rate constants of sonophotocatalysis, sonolysis and photo-catalysis, respectively. If S > 1, the combined system exhibits a synergistic effect; If S < 1, there is an inhibitioneffect between the two processes in in the coupled system; If S = 1, there is only an additive effect betweensonolysis and photocatalysis.

It is clearly seen from Table 6.3 that there is no apparent synergistic effect over the 16 experimental runsconducted. The combined system shows an additive effect or negative influence under the various experimentalconditions selected. It is easy to understand the additive effect, as heterogeneous photocatalysis and ultrasonicirradiation cause degradation of organic pollutants by reaction with OH• radicals. The cumulative effect of OH•radicals can lead to an additive effect.

Table 6.3: Synergism on orthogonal array design during the sonophotocatalytic degradation of 100 µM methylorange.

Experimental No. 1 2 3 4 5 6 7 8

Synergism 1.1 0.6 0.5 0.9 0.7 0.7 0.9 0.6

Experimental No. 9 10 11 12 13 14 15 16

Synergism 0.9 1.0 0.8 0.8 0.9 0.8 0.9 0.7

It is known that a synergistic effect is a consequence of a number of factors, ranging from the micro-bubbleoscillation to the distribution of the ultrasonic field in the reaction, from the molecular structure of the pollutantsto the geometry of the reactor, and so on.

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A synergistic effect may favor certain classes of molecules whose structure contains both hydrophilic andhydrophobic components. Whereas, the photocatalytic process degrades the hydrophilic part and sonolysis actson the hydrophobic components. If one of the intermediate products from one process is degradable by the otherprocess, the degradation of the organic compound in the combined system is likely to show a synergistic effect.

Ultrasonic power and frequency are also essential factors that may contribute to the synergistic effect in acombined system, since they are the key factors in the sonochemical degradation process (see Figures 6.3 and6.7). The ultrasonic acceleration of photocatalytic degradation is determined not only by the chemical effects ofultrasound irradiation, but also by the mechanical effects caused by the microstreaming of fluid surrounding acollapsing bubble, leading to particle de-agglomeration, mass transfer and surface cleaning.

Based on the investigation of synergism by orthogonal array experimental design, there is no clear influenceof solution pH. However, as mentioned before, pH plays an essential role in both photocatalytic and sonochemicaldegradation. The loading of TiO2 is also an important factor in a synergistic effect. The TiO2 not only acts asphotocatalyst in heterogenous photocatalysis, but may also be an extra source for bubble nuclei. As a result, thedosage of photocatalyst nanoparticles is an important influence on synergism in sonophotocatalytic degradationof methyl orange.

Section 6.3Products Analysis

6.3.1. UV-vis Spectral Analysis

UV-visible spectroscopy is a widely used as a convenient analytical means of studying degradation pathways.Figure 6.9 shows the absorption spectra observed during the photolytic, sonolytic, photocatalytic and sonophoto-catalytic degradation of methyl orange at pH 7.

Figure 6.9a shows that degradation of methyl orange due to photolysis during photocatalysis or sonophoto-catalysis can be neglected as it did not contribute significantly in the decomposition of methyl orange (less than3%). As shown in Figure 6.9b and Figure 6.9c, both sonolysis and photocatalysis degraded methyl orange effec-

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200 300 400 500 6000

0.1

0.2

0.3

0.4

Wavelength (nm)

Ab

sorb

ance

Initial30 min60 min90 min120 min

(a) Photolysis

200 300 400 500 6000

0.1

0.2

0.3

0.4

Wavelength (nm)

Ab

sorb

ance

Initial00 min (After Adsorption)30 min60 min90 min120 min

(b) Photocatalysis (1 mg/mL TiO2)

200 300 400 500 6000

0.1

0.2

0.3

0.4

Wavelength (nm)

Ab

sorb

ance

Initial00 min (After Adsorption)30 min60 min90 min120 min

(c) Sonolysis at the presence of 1 mg/mLTiO2 (213 kHz and 55 mW/mL)

200 300 400 500 6000

0.1

0.2

0.3

0.4

Wavelength (nm)

Ab

sorb

ance

Initial00 min (After Adsorption)30 min60 min90 min120 min

(d) Sonophotocatalysis (213 kHz, 55mW/mL and 1 mg/mL TiO2)

Figure 6.9: UV-vis spectra observed during the photolytic, sonochemical, photocatalytic and sonophotocatalyticdegradation of 96 µM methyl orange at pH 7.

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tively. The absorption maximum at 504 nm gradually decreases under ultrasound or photocatalytic irradiation. Aninteresting point to note is that the spectra observed in these two processes are similar. This observation indicatesthat the degradation of methyl orange undergoes a similar pathway. Thus the products from these two differentoxidation processes are the same and consequently result in the similar absorption band. However, the absorptionband at 250-370 nm shows some different features in both advanced oxidation processes. During the sonolysis,the absorption band of 250-370 nm gradually increases at the early stages of sonolysis. After 1 hour irradiation,this band starts to decrease, showing the involvement of some products. Even after 2 hours of sonolysis, the ab-sorption band around 250-370 nm did not disappear, indicating that these products from degradation of methylorange still remain. However, for photocatalysis process, the band in this range decreases with an increase inphotocatalytic degradation time. After two hours, this band has almost disappeared. As the bands at 276 and 319nm are attributed to the π → π∗ transition located in the aromatic rings of methyl orange, the decrease of the bandaround 250-370 nm suggests the photocatalytic process has a greater ability to break down the aromatic ringsthan does sonochemical degradation. It implies that photocatalysis is more effective than sonolysis in achievingmineralization. The similar observation was also made in the study conducted by Kamat and coworkers [250].

As shown in Figure 6.9d, in the combination of photocatalysis and sonolysis, the degradation of methyl orangeis faster than the individual oxidation process. At the same time, sonophotocatalysis had a pronounced effect onthe mineralization of the azo dye. The absorption peak corresponding to methyl orange, as well as the band of theproducts, completely disappeared after two hours of sonophotocatalytic treatment.

6.3.2. Total Organic Carbon Analysis

Figure 6.10 shows the TOC elimination of methyl orange by first-order kinetics during the sonochemical, photo-catalytic and sonophotocatalytic degradation of methyl orange at pH 2. It is obvious that the total organic carbonof all system gradually decreases with an increase in irradiation time, showing that the photocatalytic and sono-chemical oxidation processes can effectively decompose the azo dye. The combined system seems to have ahigher efficiency. Compared to the sonolysis process, photocatalytic mineralization of the azo dye is likely to be amuch cleaner advanced oxidation technique. These results are in agreement with the observations made of UV-vis

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spectral changes.

0 20 40 60 80 100 1200

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

Time (min)

In(T

OC

0/TO

C)

SonolysisPhotocatalysisSonophotocatalysis

Figure 6.10: Total Organic Carbon Analysis: changes of TOC observed as a function of irradiation time during thesonochemical, photocatalytic and sonophotocatalytic degradation of 96 µM methyl orange at pH 2in aqueous solution. The dosage of TiO2 in photocatalytic and sonophotocatalytic processes was 1mg/mL. Ultrasonic frequency was 213 kHz and power was 55 mW/mL.

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6.3.3. High Performance Liquid Chromatographic Analysis

High performance liquid chromatography is an effective method with which to identify the products generatedduring sonochemical and photocatalytic degradation reactions. Figure 6.11 depicts the chromatograms of methylorange after 60 mins sonolysis, photocatalysis and sonophotocatalysis. The chromatograms show clearly the peakscorresponding to the products generated from the degradation of methyl orange.

After 60 minutes degradation, nearly 50% of the methyl orange was removed by sonolysis, 70% by photo-catalysis and 80% by sonophotocatalysis. However, according to Figure 6.11, many peaks of intermediates arestill present in the solution. There are seven main products (A-G) observed from the chromatographs from thethree advanced oxidation processes. The remaining peak corresponding to methyl orange decreases in the ordersonophotocatalysis < photocatalysis < sonolysis. These observations indicate that photocatalytic and sonophoto-catalytic degradation processes are efficient in decomposing the parent azo dye. This observation is in agreementwith UV-vis spectra and TOC analysis. In addition, the products contain hydrophobic products as well as hy-drophilic intermediate compounds. As mentioned previously, this molecular property favors different processesduring the sonophotocatalytic degradation. The hydrophobic products normally tend to be surface active andtherefore are easily degraded by acoustic cavitation. However, photocatalysis is capable of decomposing thehydrophilic products.

By analyzing the samples by means of mass spectrometry and comparing the results from the literature [300,303–305] under similar chromatographic conditions, the molecular structures of the products are deducible.Figure 6.12 illustrates the UV-vis spectra and the molecular structures of the intermediate products during thesonolytic and photocatalytic degradation of methyl orange in aqueous solutions. The parent molecule, methylorange (retention time: 8.4 min), exhibits a clear MS signal corresponding to a negative ion m/z 304. It is worthnoting that one intermediate among these seven products, product G, exhibits a longer retention time (m/z 320,retention time: 12.8 min) indicating more hydrophobicity. Normally, hydroxylated products show a more hy-drophillic character. In this case, it was confirmed that product to be a monohydroxylated product of methylorange. The same hydrophobic hydroxylated product has been observed by a number of research groups [303–305].

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(a) Photocatalysis (b) Sonolysis (c) Sonophotocatalysis

0 2 4 6 8 10 12 14−5

0

5

10

15

20

25

30

Time (min)

Am

plitu

de (

mV

olts

)

Photocatalysis

A BC

D

EF G

Methyl Orange

(d) Photocatalysis (at 464 nm)

0 2 4 6 8 10 12 14−5

0

5

10

15

20

25

30

35

40

Time (min)

Am

plitu

de (

mV

olts

)

SonolysisMethyl Orange

A B C D E F G

(e) Sonolysis (at 464 nm)

0 2 4 6 8 10 12 14−2

0

2

4

6

8

10

12

14

16

18

Time (min)

Am

plitu

de (

mV

olts

)

SonophotocatalysisMethyl Orange

A BC

D

EF G

(f) Sonophotocatalysis (at 464 nm)

Figure 6.11: HPLC: High performance liquid chromatographs observed after 60 mins of sonolytic, photocatalyticand sonophotocatalytic degradation of 96 µM methyl orange at pH 2. The TiO2 loading in all threeoxidation system was 1 mg/mL. In sonolysis and sonophotocatalysis, the ultrasonic frequency was213 kHz and the power was 55 mW/mL.

Product D is a demethylated intermediate formed by cleaving a methyl- group from methyl orange molecule(m/z 290, retention time: 3.6 min). The remaining intermediate compounds are products formed by the introduc-

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tion of one or two hydroxyl groups or cleavage of a methyl or two methylic groups. For example, Product B (m/z292, retention time: 2.4 min) is a derivative formed by adding a hydroxyl group and remains two methyl groupsfrom a methyl orange molecule. All the molecular structures and the corresponding UV spectra are shown inFigure 6.12.

Based on the structures of the products formed during the degradation of methyl orange, all the identifiedintermediates contain the azo group and the sulfonic group. These individual structures were further confirmed byUV-vis spectra. Due to very low concentrations generated, it was difficult to extract the UV spectra of Product Aand B. However, other products did yield UV-vis absorption bands, illustrating that all these products are coloredintermediates. These observation demonstrate that the chromophores are still present in these products. Thedegradation pathway is discussed in the following subsection.

6.3.4. Proposed Sonophotocatalytic Degradation Pathway

As demonstrated in the list of products (see Figure 6.12), the products formed during the sonolytic, photocatalyticand sonophotocatalytic degradation of methyl orange originate from the hydroxylation and/or demethylation ofmethyl orange. Figure 6.13 is a proposed sonophotocatalytic degradation pathway scheme. It mainly focuses onthe transformation of intermediate species, which precede the aromatic ring-opening.

According to Figure 6.13, Product D and G are the intermediate compounds by demethylation and hydroxyla-tion of methyl orange, respectively. The demethylation of methyl orange is a process which involves the homolyticrupture of the nitrogen-carbon bond of the amine group leading to the substitution of a methyl group with a hy-drogen atom. Consecutive demethylation is likely to lead to the formation of Product E and B. Whatever thedecomposition process methyl orange molecules undergo, sonolysis or photocatalysis, OH• radical attack is themain mechanism of degradation. Product A, B, E and G are the products formed by multiple substitution ofhydroxyl groups. Evidently, due to simultaneous and independent occurrences, both demethylation and hydroxy-lation can be expected to couple with each other or take effect alternatively. Consequently, the products of methylorange degradation are determined by the individual demethylation, hydroxylation and their combinations.

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N N NH

HS

O

O

-O

OH OH

N N NH

HS

O

O

-O

OH

N N NH

HS

O

O

-O

OH

Product A

Product B

or

m/z 308

m/z 292

(a) Product A and Product B

240 260 280 300 320 340 360 380 400 420 440

−5

0

5

10

15

Wavelength (nm)

mV

olts

λmax

= 254 nm

N N NH

HS

O

O

-O

m/z 276

(b) Product C

250 300 350 400 450 5000

0.5

1

1.5

2

2.5

3

3.5

4

4.5

Wavelength (nm)

mV

olt

s

λmax

= 394 nm

N N NCH3

HS

O

O

-O

m/z 290

(c) Product D

250 300 350 400 450 500 550 600

0

0.5

1

1.5

2

2.5

3

Wavelength (nm)

mV

olt

s

λmax

= 464 nmN N NCH3

HS

O

O

-O

OH

N N NCH3

HS

O

O

-O

OH

m/z 306

or

(d) Product E

250 300 350 400 450 500

1

2

3

4

5

6

Wavelength (nm)

mV

olt

s

λmax

= 340 nm

N N NCH3

HS

O

O

-O

OH OH

m/z 322

(e) Product F

250 300 350 400 450 500 550 600

0

1

2

3

4

5

Wavelength (nm)

mV

olt

s

λmax

= 478 nm

N N NCH3

CH3

S

O

O

-O

OH

N N NCH3

CH3

S

O

O

-O

OH

m/z 320

or

(f) Product G

Figure 6.12: UV-vis spectra of the products generated during the sonolytic, photocatalytic and sonophotocatalyticdegradation of 96 µM methyl orange at pH 2. The TiO2 loading in all three oxidation systems was 1mg/mL. In sonolysis and sonophotocatalysis processes, the ultrasonic frequency was 213 kHz andthe power was 55 mW/mL.

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N N NCH3

CH3

S

O

O

-O

N N NCH3

CH3

S

O

O

-O

N N NCH3

HS

O

O

-O

N N NCH3

HS

O

O

-O

N N NH

HS

O

O

-O

N N NCH3

HS

O

O

-O

N N NH

HS

O

O

-O

N N NH

HS

O

O

-O

N N NCH3

CH3

S

O

O

-O

N N NCH3

HS

O

O

-O

N N NH

HS

O

O

-O

OH

OH

OH

OH

OH

OH

OH OH

Small Molecules

H2O + CO2

+OH

m/z 290

m/z 276m/z 306

m/z 320

m/z 292m/z 322

m/z 308

m/z 304

OH OH

+OH-CH2

-CH2

-CH2

+OH+OH-CH2

-CH2

+OH

Methyl Orange

Product G Product D

Product E Product C

Product F Product B

Product A

Figure 6.13: Proposed Degradation Pathway: schematic illustration of the sonophotocatalytic events may takeplace during the degradation of methyl orange.

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6.3.5. Degradation of Products

Two intermediate products, Product D (a demethylated product) and Product G (a monohydroxylated product),primary intermediates, were selected in order to investigate the influence of sonochemical, photocatalytic andsonophotocatalytic degradation on the derivative products. The peak areas recorded in the HPLC profiles for thesetwo detected intermediates against the irradiation time are shown in Figure 6.14. Both products at different pH atfirst increase and subsequently decrease, demonstrating that these products undergo two processes: formation andsubsequent decomposition.

Figure 6.14a shows the formation trend of Product D as a function of irradiation time during sonolysis, photo-catalysis and sonophotocatalysis. The area changes in both photocatalysis and sonophotocatalysis show a ”bell”shape trend with irradiation time, with 30 minutes being the time of maximum amount formed. However, theamount of Product D existing in the aqueous solution gradually increases over the whole sonochemical degrada-tion process. This observation demonstrates that the decomposition is faster than the formation during photocat-alytic and sonophotocatalytic degradation, and the hybrid technique is better for decomposing the intermediateproduct D. The destruction of the intermediate by ultrasound seems to be the slowest among these three advancedoxidation processes.

Compared to pH 2, the amount of Product D formed at pH 10 is much larger (shown in Figure 6.14b), indi-cating that in spite of the formation of the same main active species, the pH environment is capable of changingthe proportion of the products. At pH 10, the amount of Product D during sonophotocatalytic process reaches amaximum at 30 minutes, but in photocatalysis it is at 90 minutes. The trend of peak area as a function of time ofsonolysis forms a ”bell” shape in this case. At pH 10, the hybrid system exhibits a greater synergistic effect thanthat at pH 2.

Figure 6.14c and 6.14d show the change in amount of Product G with irradiation time under three advancedoxidation processes at pH 2 and pH 10, respectively. At these two pH levels, sonophotocatalysis is the most effec-tive. The hydroxylation of methyl orange in photocatalytic and sonophotocatalytic processes is faster than undersonolysis. During the first 30 minutes at pH 2, methyl orange was hydroxylated by photocatalysis at the samespeed as sonophotocatalysis. However, after 30 min, the amount of monohydroxylated product in sonophotocatal-

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0 20 40 60 80 100 1200

20

40

60

80

100

120

Time (min)

Pea

k A

rea

(mA

u)

PhotocatalysisSonolysisSonophotocatalysis

(a) Product D (m/z 290) at pH 2

0 20 40 60 80 100 1200

50

100

150

200

250

Time (min)

Pea

k A

rea

(mA

u)

PhotocatalysisSonolysisSonophotocatalysis

(b) Product D (m/z 290) at pH 10

0 20 40 60 80 100 1200

20

40

60

80

100

120

Time (min)

Pea

k A

rea

(mA

u)

PhotocatalysisSonolysisSonophotocatalysis

(c) Product G (m/z 320) at pH 2

0 20 40 60 80 100 1200

50

100

150

200

Time (min)

Pea

k A

rea

(mA

u)

PhotocatalysisSonolysisSonophotocatalysis

(d) Product G (m/z 320) at pH 10

Figure 6.14: Product Degradation: The concentration changes of Product D and Product G during 120 minutessonophotocatalytic degradation of 96 µM methyl orange at pH 2 and pH 10. The loading TiO2 was1 mg/mL. In sonolysis and sonophotocatalysis processes, the frequency of ultrasound was 213 kHzand the power was 55 mW/mL.

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ysis decreases while that in photocatalysis increases until 60 min. The reason for the faster sonophotocatalyticdecomposition of Product G may lie in the sonochemical process. Compared to Product D, Product G exhibitsrelatively more hydrophobicities (HPLC chromatograph in Figure 6.11), leading to a higher surface active. Thisproperty allows these molecules to accumulate at the liquid/bubble interface, and thus enables them to readilyreact with the primary radicals generated within the cavitation bubbles. In other word, sonolysis is more effectivein decomposing hydrophobic products.

The maximum amount of Product D and G is higher at pH 10 than that at pH 2. One possible reason is that thealkaline environment favors formation of OH• radicals and consequently facilitates the hydroxylation process.

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Every morning, the stepmother of Snow-White stood before her magicmirror, looked at herself, and said:Mirror, mirror, on the wall,Who in this land is fairest of all?

Little Snow-White

Every morning, I stood before the sonicator, looked at the bubbles, andsaid:Bubble, bubble, in the water,Where is my synergistic effect?. . . . . .

XH 7Sonophotocatalytic Degradation of Aromatic

Carboxylic Acids

Application of ultrasound in environmental remediation recently attracted considerable attention. Themain purpose of the work described in this chapter is to assess the possibility of employing a hybridmethod which combines ultrasonic irradiation and photocatalytic oxidation for the degradation of threearomatic carboxylic acids. The overall oxidation performance of the combined system on the degrada-

tion of organic pollutants in aqueous solution was evaluated by kinetic analysis. Several analytical techniques wereused to monitor the degradation process and identify the reaction products formed during the sonophotocatalyticdegradation process.

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7.1. INTRODUCTION

Section 7.1Introduction

Aromatic carboxylic acids are pollutants of high environmental impact because of their widespread use and po-tential to form toxic products. Aromatic carboxylic acids are introduced into the environment as a result of manyman-made activities. These compounds constitute a substantial fraction of preservative agents for wood, paints,vegetable fibers and leatherpesticides and herbicides due to their bactericidal activities. In addition, they have beenwidely used in a number of industrial processes, e.g., raw materials in the manufacture of herbicides, pesticides,pharmaceuticals and dyes. Aromatic carboxylic acids may also be the end products formed during the naturalbiodegradation of industrial aromatic pollutants.

para-Chlorobenzoic acid (PCBA), para-aminobenzoic acid (PABA) and para-hydroxybenzoic acid (PHBA)are three typical aromatic carboxylic acids. At room temperature, they are weak acids, due to the presence ofthe carboxyl group. All of them have a pKa around 4.5 (p-chlorobenzoic acid: 3.98 [26]; p-aminobenzoic acid:4.85 [26]; p-hydroxybenzoic acid: 4.58 [26]) in aqueous solution. In addition, both p-aminobenzoic acid andp-hydroxybenzoic acid have a second pKa because they also possess a second pH responsive functional group.As a result, there are two different forms that exist at different pH values: acid form and conjugate base form.The different forms have a potential impact on the degradation mechanism involved during photocatalysis andsonolysis processes.

Due to the different forms of the solutes, all of these aromatic carboxylic acids display different absorptioncharacteristics at different pH . The changes in the UV spectra of p-chlorobenzoic acid, p-aminobenzoic acid andp-hydroxybenzoic acid at various pH values are presented in Figure 7.1, Figure 7.2 and Figure 7.3, respectively.It is evident that these compounds exhibit absorption maximum at different wavelength with different pH values.

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7.2. p-CHLOROBENZOIC ACID

200 210 220 230 240 250 260 2700

0.05

0.1

0.15

0.2

0.25

0.3

0.35

0.4

Wavelength (nm)

Ab

sorb

ance

pH=1pH=2pH=3pH=4pH=5pH=6pH=7pH=8pH=9pH=10pH=11pH=12

Cl

-O

O

Cl

OH

OOH-

H+

pKa = 3.98

λmax = 234 nm λmax = 241 nm

Figure 7.1: Influence of pH on UV-vis spectra: UV-vis spectra of 100 µM p-chlorobenzoic acid observed withvarying pH values in aqueous solution.

Section 7.2p-Chlorobenzoic Acid

Although the oxidation process of different organic pollutants are quite similar, this section focuses on thesonophotocatalytic degradation of p-chlorobenzoic acid. A number of analytical techniques, such as spectropho-tometry, HPLC and MS/MS, were used to investigate the photocatalysis, sonolysis and sonophotocatalysis ofp-chlorobenzoic acid. A quantitative simulation of the concentration changes of the products during the hybridprocess was used to evaluate the synergistic effects produced by combining the two advanced oxidation techniques.

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200 220 240 260 280 300 3200

0.2

0.4

0.6

0.8

1

1.2

1.4

1.6

1.8

2

Wavelength (nm)

Ab

sorb

ance

pH=1pH=2pH=3pH=4pH=5pH=6pH=7pH=8pH=9pH=10pH=12

HOOC NH2NH2-O

OH+

OH-

H+

OH-

λmax = 266 nm λmax = 282 nm λmax = 226 nm

HOOC NH3+

pKa2 = 2.41pKa1 = 4.85

Figure 7.2: Influence of pH on UV-vis spectra: UV-vis spectra of 100 µM p-aminobenzoic acid observed withvarying pH values in aqueous solution.

7.2.1. UV-vis Spectra Analysis

Figure 7.4 displays the UV-vis spectral changes observed during the sonophotocatalytic degradation of 100 µMp-chlorobenzoic acid at two different pH values. At both pH values, the band around 234 nm∗, correspondingto the concentration of p-chlorobenzoic acid, was markedly reduced with an increase in the sonophotocatalyticdegradation time. These observations indicate that the sonophotocatalytic process is an effective technique for the

∗It should be pointed out that in order to minimize the influence of p-chlorobenzoic acid adsorption on the surface of TiO2, thepH value of all the sample solutions were first converted to pH 10 before analysis. This is the reason for the maximum absorptionwavelength being 234 nm for the degradation of p-chlorobenzoic acid at pH 2.

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7.2. p-CHLOROBENZOIC ACID

200 220 240 260 280 300 320

0

0.05

0.1

0.15

0.2

0.25

0.3

0.35

0.4

Wavelength (nm)

Ab

sorb

ance

pH=1pH=2pH=3pH=4pH=5pH=6pH=7pH=8pH=9pH=10pH=11pH=12

O-

-O

OOH

-O

OOH

OH

OH+

OH-

H+

OH-

λmax = 280 nm λmax = 246 nm λmax = 255 nm

pKa2 = 9.23 pKa1 = 4.58

Figure 7.3: Influence of pH on UV-vis spectra: UV-vis spectra of 100 µM p-hydroxybenzoic acid observed withvarying pH values in aqueous solution.

degradation of p-chlorobenzoic acid.Clearly, the sonophotocatalytic decomposition of p-chlorobenzoic acid at pH 2 is much faster than that at

pH 10, mainly due to the adsorption activity on TiO2 at pH 2. As explained in Chapter 6, at pH 10, the negativelycharged TiO2 surface is likely to repel the p-chlorobenzoic acid anions, resulting in weaker adsorption activityof TiO2 and hence a decrease the oxidation rate. In addition, the surface active property enables the organicmolecules to readily capture the primary radicals from the cavitation bubbles [195, 306].

It is interesting to note that the changes to the absorption spectra are quite different at different pH values.At pH 10, there is still an absorption band from 215 to 240 nm after 1 hour of sonophotocatalytic degradation,showing that there are more products formed during the degradation of p-chlorobenzoic acid compared to the

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7.2. p-CHLOROBENZOIC ACID

210 215 220 225 230 235 240 245 250 255 2600

0.05

0.1

Wavelength (nm)

Ab

sorb

ance

00min10min20min30min40min50min60min

(a) pH 2

210 215 220 225 230 235 240 245 250 255 2600

0.05

0.1

Wavelength (nm)

Ab

sorb

ance

00min10min20min30min40min50min60min

(b) pH 10

Figure 7.4: UV-vis spectra analysis: changes of the absorption spectra observed during sonophotocatalyticdegradation of 100 µM p-chlorobenzoic acid at pH 2 and pH 10. The irradiation frequency of ul-trasound was 213 kHz and the power was 55 mW/mL. The loading of TiO2 in the sonophotocatalyticdegradation experiment was 1 mg/mL.

degradation at pH 2. The sonophotocatalytic degradation at pH 2 is therefore likely to lead to mineralization ofp-chlorobenzoic acid.

7.2.2. High Performance Liquid Chromatographic Analysis

It is difficult to quantitatively analyze products generated using UV-vis spectra during the sonophotocatalyticdegradation of p-chlorobenzoic acid, since the products absorb at the same wavelength region as that of the reac-tant. High performance liquid chromatography is able to separate the parent compound and individual products

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7.2. p-CHLOROBENZOIC ACID

effectively.Figure 7.5 and 7.6 shows the high performance liquid chromatograms observed during sonophotocatalytic

degradation of 100 µM p-chlorobenzoic acid at two different solution pH values. It is evident that the peak(retention time: 10.2 min∗) that corresponds to p-chlorobenzoic acid gradually decreases with the irradiation time,indicating that p-chlorobenzoic acid was effectively decomposed by sonophotocatalytic oxidation. After 30 minsonophotocatalytic irradiation, more than half of the p-chlorobenzoic acid was degraded in both pH environments.A full comparison of rate constants and the synergistic effect is discussed in Subsection 7.2.5.

It is interesting to note that the amount of the same product generated at different pH is quite different. Thismeans that the solution pH affects the degradation pathway during the sonophotocatalysis of p-chlorobenzoicacid. The major products (marked in Figure 7.5 and 7.6) of sonophotocatalysis, A and B, are formed in differentamounts at different pH. The conditions at pH 10 facilitate the degradation process which produces product A.Only a small amount of product A was produced at pH 2. The independent sonolysis and photocatalysis experi-ments of p-chlorobenzoic acid degradation demonstrated that the small amount of product A is only derived fromthe sonochemical degradation of p-chlorobenzoic acid at pH 2, while no product A was detected by photocatalyticdegradation. This suggests that the pH of aqueous solution influences the sonochemical degradation pathway. Alarger amount of product A at pH 10 may be the reason there is still a substantial absorption band in UV-vis spectra(see Figure 7.4) after 60 min sonophotocatalysis at pH 10.

Another interesting point to note is the degradation of the products generated from the sonophotocatalyticdegradation of p-chlorobenzoic acid. As discussed for the sonophotocatalytic degradation of methyl orange inChapter 6, sonophotocatalysis can decompose the parent organic pollutants as well as the products. The peak areathat corresponds to product A does not decrease, but it is evident that product B first increases and subsequentlydecreases at both pH values. Thus, sonophotocatalysis is able to decompose the products produced from thedegradation of p-chlorobenzoic acid. In addition, the amount of product B reaches a maximum after 20 minsonophotocatalytic degradation at pH 2, while it was 30 min at pH 10.

∗Due to the fluctuation in temperature, there is a slight time shift (approximately 0.06 min) between the corresponding chromatographpeaks in Figure 7.5b and Figure 7.6b.

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(a) The 3D chromatograph observed after 30 minsonophotocatalysis at pH 2.

2 4 6 8 10 12

0

20

40

60

80

100

Time (min)

mA

u

00min10min20min30min40min

5.5 5.6 5.7 5.8 5.9 6−1

0

1

2

3

4

5

6

7

Time (min)

mA

u

A

B

(b) The changes in chromatographs duringsonophotocatalysis at pH 2. The detectionwavelength used in the HPLC was 245 nm.

Figure 7.5: HPLC Analysis: the high performance liquid chromatographs observed during the sonophotocatalyticdegradation of an aqueous solution of 100 µM p-chlorobenzoic acid at pH 2. The TiO2 loading in theoxidation system was 1 mg/mL. The applied ultrasonic frequency was 213 kHz and the power was 55mW/mL.

7.2.3. Mass Spectrometry Analysis

Mass spectral analysis was conducted to identify the products formed during the degradation of p-chlorobenzoicacid. Figure 7.7 shows the mass spectra in negative mode before and after sonophotocatalytic degradation at pH 2.In the initial solution, there are two strong signals that appear in the mass spectra of 100 µM p-chlorobenzoicacid. The peak at m/z 98.9 represents the loss of hydrogen from perchloric acid molecule, which was used tomaintain the whole aqueous solution at pH 2 for the overall sonophotocatalytic degradation and its chlorine-37

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(a) The 3D chromatographs observed after 30 minsonophotocatalysis at pH 10.

0 2 4 6 8 10 12 14 16

0

10

20

30

40

50

60

70

80

90

Time (min)

mA

u

00min10min20min30min40min

5.4 5.5 5.6 5.7 5.8 5.9 6 6.1

0

1

2

3

4

5

6

7

A

B

(b) The changes in chromatographs duringsonophotocatalysis at pH 10. The detectionwavelength used in the HPLC was 245 nm.

Figure 7.6: HPLC Analysis: the high performance liquid chromatographs observed during the sonophotocatalyticdegradation of an aqueous solution of 100 µM p-chlorobenzoic acid at pH 10. The TiO2 loading in theoxidation system was 1 mg/mL. The applied ultrasonic frequency was 213 kHz and the power was 55mW/mL.

isotope is observed at m/z 100.9. The p-chlorobenzoic acid precursor ions were found at m/z 154.9 in the negativeion mode. Due to the presence of the chlorine-37 isotope, the second peak of p-chlorobenzoic acid precursor ionsalso appears at m/z 156.9.

The peaks corresponding to perchloric acid still existed in the mass spectra after sonophotocatalytic treatment(see Figure 7.7b). There are a few product ions observed in the same mass spectra. The peak at m/z 34.9 isdue to the formation of a chloride ion fragment. The three product ions at m/z 110.9, 126.9 and 170.9 show thecorresponding chlorine-37 isotope pattern indicating they retain the chlorine atom. According to the charge-to-

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40 60 80 100 120 140 160 180 2000

20

40

60

80

100 98.9

154.9

Mass−to−Charge (m/z)

Cou

nts

(HClO4 −H)−

(PCBA−H)−

(a) Mass spectrometry of initial solution at pH 2 beforedegradation (injection volume: 10 µL).

40 60 80 100 120 140 160 180 2000

10

20

30

40

50

60

70

80

90

100

110

34.968.9

98.9

110.9

126.9 154.9170.9

Mass−to−Charge (m/z)

Cou

nts

(HClO4 −H)−

(PCBA−H)−Cl−

Unidentified Compound

Cl

ClHOClHOOC

OH

(b) Mass spectrometry observed after 60 min sonopho-tocatalytic degradation at pH 2 (injection volume:30 µL).

Figure 7.7: Mass spectrometry analysis (the background signals were subtracted.): mass spectra of 100 µM p-chlorobenzoic acid before and after 60 min sonophotocatalytic degradation. The applied ultrasonicfrequency was 213 kHz and power was 55 mW/mL. The loading of TiO2 nanoparticles was 1 mg/mL.

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mass data, the complete molecular form of chlorobenzene was evident as well as the loss of a carboxyl group fromp-chlorobenzoic acid molecule (m/z 154.9 → 110.9). m/z 126.9 was identified as chlorophenol, a derivative ofp-chlorobenzoic acid by substitution of the carboxyl group with a hydroxyl group. A monohydroxylated productof p-chlorobenzoic acid (m/z 170.9) was also found during sonophotocatalytic degradation.

The peak at m/z 68.9 remains unidentified. Although the mass of C3H2O2 matches the value of m/z 68.9, thereis no evidence and mechanism supporting that C3H2O2 is formed during sonophotocatalytic process. But it isconfirmed that it does not contain any chlorine atom as there is no chlorine isotope pattern. This compound maybe produced after the opening benzene ring. High performance liquid chromatographic analysis of standard com-mercial samples including chlorobenzene, 4-chlorophenol, 3-chloro-4-hydroxybenzoic acid and 4-chlorosalicylicacid was conducted to confirm the peaks in the chromatograms (Figure 7.5 and 7.6). The observation confirmsthat the product B (retention time: 5.8 min) is 4-chlorophenol. A special effort was paid to identify the prod-uct A by a number of HPLC experimental runs with possible commercial chemicals, such as phenol, 3-chloro-4-hydroxybenzoic acid, 4-chlorosalicylic acid, benzoic acid, p-hydroxybenzoic acid, 3,4-dihydroxybenzoic acid,quinol, catechol, 3-hydroxybenzoic acid, 2,5-dihydroxybenzoic acid, 3,5-dihydroxybenzoic acid and fumaric acid.However, the product A could not be identified despite the expectation that its hydrophilicity is quite close to thatof 4-chlorophenol.

Table 7.1 summarizes the identification of high performance liquid chromatographic products during sonopho-tocatalytic degradation of p-chlorobenzoic acid.

7.2.4. Proposed Sonophotocatalytic Degradation Pathway

The sonophotocatalytic degradation reactions shown in Figure 7.8 were based on previous reports [195, 196, 307].As sonolysis and photocatalysis mainly involve the attack of OH• radicals on the organic pollutants, it can beexpected that the first intermediate compounds produced would be hydroxylated products. When the aromaticring of a p-chlorobenzoic acid molecule is attacked by an OH• radical, the hydroxyl group is likely to undergosubstitution with a hydrogen atom or the carboxyl group of the aromatic ring. According to the high performanceliquid chromatograph observation that 4-chlorophenol constitutes the main product, the replacement of carboxyl

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Table 7.1: Identification of high performance liquid chromatographic products during sonophotocatalytic degra-dation of p-chlorobenzoic acid.

Name StructureMS Retention Symbol in

(m/z) Time (min) Reaction 7.2

HCl HCl 34.9 - -? ? 68.9 - -Perchloride Acid HClO4 98.9 - -

Chlorobenzene Cl 110.9 - -

4-Chlorophenol ClHO 126.9 5.8 B

p-Chlorobenzoic Acid Cl

OH

O

154.9 10.2 A

4-ChlorosalicylicClHOOC

OH

170.9 − −Acid or its isomers

group seems to be the main pathway for the sonophotocatalytic reaction of p-chlorobenzoic acid.The decrease in the 4-chlorophenol concentration with an increase in the oxidation time indicates that this

product was converted into other products by undergoing further reaction with OH• radicals, or by substitution ofchlorine with a hydrogen atom, or by pyrolysis inside cavitation bubbles. Through the introduction of a hydroxylgroup or the replacement of a chlorine atom, hydroquinone, benzoquinone and trihydroxybenzene were formedby OH• radical attack. These aromatic intermediate products are very unstable under intensive attack by OH•radicals, and degraded simultaneously along with the parent compound. They are suspected as precursors to ringopening. It is known that continuous attack of the OH• radicals on the aromatic ring of benzene derivatives canlead to ring cleavage and further degradation into small carboxylic acid molecules [308]. Further sonication ofthese molecules eventually results in complete mineralization and formation of H2O, CO2 and HCl.

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Cl-OOC

Cl-O

Cl

Cl-OOC

OH

ClOH

-OOC

Cl-OOC

OHOH

HCl + CO2 + H2O

m/z 155

m/z 171

m/z 127

m/z 112

+OH

+OH

ClHO ClHO

OHHO

HO OH

OHHO

OH

OO

COOHCOOH

CHCOOHCHCOOH

CH3COOH

+OH+OH

+OH

Figure 7.8: Proposed degradation pathway: schematic illustration of the sonophotocatalytic events that may takeplace during the degradation of p-chlorobenzoic acid.

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7.2.5. Degradation Kinetics and Synergistic Effects

7.2.5.1. Kinetics and Synergistic Effects of Degradation of p-Chlorobenzoic Acid

The comparison of the degradation rates of p-chlorobenzoic acid observed for different advanced oxidation pro-cesses is shown in Figure 7.9. A pseudo-first order kinetics model (Equation 7.1) was applied to compare thedegradation performance of the three advanced oxidation processes.

lnC0

Ct

= kt (7.1)

Here, C0 is the initial concentration of the degradation reactant; Ct is the concentration corresponding to the timet; k is the the rate constant and its unit is min−1. The pseudo-first order model is based on the assumption thatduring the whole degradation process, the production of OH• radicals is expected to remain constant and react onlywith the organic pollutant. However, the amount of products generated from degradation of the parent pollutantincreases with an increase in degradation time. These products are likely to compete with parent pollutant forOH• radicals, which is not expected in the pseudo-first order model. In our case, the data of the first 30 minwere plotted according to pseudo-first order kinetics as shown in Figure 7.9. It is evident that for the first 30 min,the experimental results seem to fit well with the pseudo-first order kinetics plot due to low concentration of theproducts.

At both pH 2 and pH 10, it is obvious that the sonophotocatalytic process is the fastest degradation processamong the three advanced oxidation processes. It is also noted that for all three processes, the degradation at pH 2is faster than that at pH 10. As mentioned in Chapter 6, lower pH increases the proportion of the neutral form ofthe organic pollutant. This leads to an increase in the adsorption of the p-chlorobenzoic acid on TiO2 surface andbubble/solution interface, and this is what is behind for the enhancement in the reaction rate.

It is interesting that at pH 10, sonophotocatalysis has almost the same rate constant as photocatalysis duringthe degradation of p-chlorobenzoic acid. This observation implies that at pH 10, photocatalysis is the leadingdegradation process in the combined system. In other words, the degradation performance of sonolysis is negligi-ble.

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0 5 10 15 20 25 30 35 400

0.5

1

1.5

2

Time (min)

ln(C

0/Ct)

pH2 SonopH2 PhotopH2 Sonophoto

(a) pH 2.

0 5 10 15 20 25 30 35 400

0.2

0.4

0.6

0.8

1

1.2

Time (min)

ln(C

0/Ct)

pH10 SonopH10 PhotopH10 Sonophoto

(b) pH 10.

Figure 7.9: Kinetics: the pseudo-first order kinetics curves observed during the sonophotocatalytic degradationof an aqueous solution containing 100 µM p-chlorobenzoic acid at pH 2 and pH 10. The TiO2 load-ing was 1 mg/mL. The applied ultrasonic power was 55 mW/mL and frequency was 213 kHz. Thedetection wavelength used in the HPLC was 238 nm.

Table 7.2 lists the theoretically fitted results∗ based on a pseudo-first order model. The index S (namedby S1 in Table 7.2 and Table 7.3) mentioned in Chapter 6 was used to evaluate the synergistic effect of the

∗Note that the rate constants k1 calculated here are not based on Figure 7.9. Figure 7.9 was plotted from the average of three datasets with standard deviation. Due to further application of these rate constants in the simulation of products later in this subsection, oneof three data sets was selected to calculate the rate constants as listed in Table 7.2.

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7.2. p-CHLOROBENZOIC ACID

sonophotocatalytic degradation of p-chlorobenzoic acid (Equation 6.1).

S =ksonophotocatalysis

ksonolysis + kphotocatalysis(6.1)

The value 1.24 of synergistic effect index at pH 2 (Table 7.2) suggests that there is a slight synergistic effectbetween sonolysis and photocatalysis process. However, the sonophotocatalytic degradation of p-chlorobenzoicacid at pH 10 is an additive effect.

Table 7.2: The pseudo first-order rate constants of sonolysis, photocatalysis and sonophotocatalysis of 100 µMp-chlorobenzoic acid in aqueous solution at pH 2 and pH 10.

pH Process k (×10−2min−1) S1

Sonolysis 1.5pH 2 Photocatalysis 3.0 1.24

Sonophotocatalysis 5.6

Sonolysis 0.5pH 10 Photocatalysis 3.4 0.97

Sonophotocatalysis 3.8

In the evaluation of the synergistic effect of the combined system, it is also necessary to consider the influenceof the combined techniques on the products of degradation, which may lead to reducing the decomposition effi-ciency of p-chlorobenzoic acid. Thus, the process of product degradation is discussed in the following subsectionin order to achieve an overall evaluation of sonophotocatalysis.

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7.2.5.2. Kinetics and Synergistic Effects of Degradation of Products

The high performance liquid chromatograms observed during sonophotocatalytic degradation of 100 µM p-chlorobenzoicacid are shown in Figure 7.5 and 7.6. It is clear that 4-chlorophenol is the major product∗ formed during sonolytic,photocatalytic and sonophotocatalytic degradation of p-chlorobenzoic acid. As a result, the whole degradationprocess can be expressed as a chain reaction as shown in Reaction 7.2.

Bk2 //D

A

k1

>>~~~~~~~

k3

@@@

@@@@

C

(7.2)

k = k1 + k3 (7.3)

where, A represents p-chlorobenzoic acid; B is 4-chlorophenol; D is the only product from the oxidation of 4-chlorophenol, or a representative of the whole product whose stoichiometric molar ratio to the corresponding4-chlorophenol is 1:1; C represents all the products except 4-chlorophenol formed during the degradation of p-chlorobenzoic acid and its stoichiometric molar ratio to p-chlorobenzoic acid is 1:1†. It is assumed that the singlereactant A undergoes independent, concurrent reactions to yield two different products: B and C. k1 and k3 arethe rate constants for the formation of compound B and C, respectively; k and k2 are the rate constants for thedegradation of p-chlorobenzoic acid (A) and 4-chlorophenol (B), respectively.

∗In fact, there are a number of products that appear during the p-chlorobenzoic acid oxidation. These intermediate compoundsinclude identified and unidentified compounds analyzed by high performance liquid chromatograph and gas chromatograph in the caseof gaseous products. For mathematical simplicity, the kinetics simulation here did not consider the other products except 4-chlorophenol.

†In fact, there are a number of products accompanying the formation of 4-chlorophenol. For the following simulation simplification,compound C was used to represent all of the products except 4-chlorophenol during the degradation of p-chlorobenzoic acid.

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By assuming that all the reactions involved in Scheme 7.2 obey pseudo-first order kinetics, the concentrationof each compound in the aqueous solution can be expressed as a function of the following equations∗:

CA = C0Ae−kt (7.4)

CB =C0

Ak1

k2 − k[e−kt − e−k2t] (7.5)

CC =C0

A(k − k1)

k[1− e−kt] (7.6)

CD =C0

Ak1

k(k − k2)[k(1− e−k2t)− k2(1− e−kt)] (7.7)

Here, the concentration of compound A, namely p-chlorobenzoic acid, as a function of irradiation time is ex-pressed in Equation 7.4 which was deduced from Equation 7.1; C0

A is the initial concentration of compound A;CB, CC are the concentrations of compound B and C, respectively. The concentration of 4-chlorophenol (B)expressed in Equation 7.5 indicates that it undergoes two processes during the whole degradation of the parentpollutant: formation and degradation. Due to the observation that the chromatograph peaks that correspond to4-chlorophenol first increase and subsequently decrease in all three advanced oxidation processes, this theoreticalmodel requires that the degradation is much faster than the formation of 4-chlorophenol, i.e., k2 > k1. In fact,compound C and compound D also follow a similar trend since the oxidation processes decompose them afterthey are formed. Here, the theoretical model does not account for the subsequent degradation of compound C andD.

The experimental data and the simulated data of the degradation of 100 µM p-chlorobenzoic acid at pH 2 andpH 10 are presented in Figure 7.10. The corresponding k1 and k2 values in each process can be calculated by fittingthe experimental data using Equation 7.5, as the value of k is known for the degradation of p-chlorobenzoic acid(see Table 7.2). With the calculated k1 and k2 values, it is possible to deduce the concentration of each compoundas a function of irradiation time (Equation 7.4-7.7).

∗The equations used here are the combination of parallel and consecutive reactions. The theoretical concentration equation of each

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0 20 40 60 80 100 1200

20

40

60

80

100

Time (min)C

once

ntra

tion

(µM

)

PCBA Analytical Data4−Chlorophenol Analytical DataPCBA4−ChlorophenolCompound CCompound D

(a) Sonolysis at pH 2.

0 20 40 60 80 100 1200

20

40

60

80

100

Time (min)

Con

cent

ratio

n (

µM)

PCBA Analytical Data4−Chlorophenol Analytical DataPCBA4−ChlorophenolCompound CCompound D

(b) Photocatalysis at pH 2.

0 20 40 60 80 100 1200

20

40

60

80

100

Time (min)

Con

cent

ratio

n (

µM)

PCBA Analytical Data4−Chlorophenol Analytical DataPCBA4−ChlorophenolCompound CCompound D

(c) Sonophotocatalysis at pH 2.

0 20 40 60 80 100 1200

20

40

60

80

100

Time (min)

Con

cent

ratio

n (

µM)

PCBA Analytical Data4−Chlorophenol Analytical DataPCBA4−ChlorophenolCompound CCompound D

(d) Sonolysis at pH 10.

0 20 40 60 80 100 1200

20

40

60

80

100

Time (min)

Con

cent

ratio

n (

µM)

PCBA Analytical Data4−Chlorophenol Analytical DataPCBA4−ChlorophenolCompound CCompound D

(e) Photocatalysis at pH 10.

0 20 40 60 80 100 1200

20

40

60

80

100

Time (min)

Con

cent

ratio

n (

µM)

PCBA Analytical Data4−Chlorophenol Analytical DataPCBA4−ChlorophenolCompound CCompound D

(f) Sonophotocatalysis at pH 10.

Figure 7.10: Kinetics analysis of product degradation: the analytical data and simulated concentration curves ofeach component during the degradation of 100 µM p-chlorobenzoic acid in aqueous solution at pH 2and pH 10. For the analytical data of p-chlorobenzoic acid, the detection wavelength used in theHPLC was 238 nm. For the analytical data of 4-chlorophenol, the detection wavelength used in theHPLC was 245 nm.

compound for consecutive reactions A → B → C and parallel reactions are separately provided in reference [309].

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It is obvious that the simulation results fit well with the experimental data and exhibit the characteristic behav-ior of each compound during the whole oxidation process. For example, the simulation curve effectively reflectsthe special bell-shaped behavior of 4-chlorophenol concentration under the six different experimental sets. Fig-ure 7.10a and 7.10d show the concentration changes of these four compounds (A-D) involved in sonolysis at pH 2and pH 10. The concentration of parent organic compound, p-chlorobenzoic acid, was exponentially reduced withan increase of ultrasonic irradiation time. It is clear that the process at pH 2 is faster than that at pH 10. The pH 2curve of the product pollutant (4-chlorophenol) exhibits a bell shape with the degradation time, indicating thedecomposing activity competes effectively with the formation process. However, at pH 10, the concentration of4-chlorophenol did not show any decrease during the whole 120 min degradation, which indicates that the sono-chemical degradation of 4-chlorophenol at pH 10 is comparatively slower than that at pH 2. Hence, pH 2 is a bettercondition for sonochemical degradation of p-chlorobenzoic acid as well as its organic product, 4-chlorophenol.

Both photocatalysis and sonophotocatalysis at the two pH values show similar results to that observed for thesonolysis process, as shown in Figures 7.10b-7.10f. Furthermore, the products generated during the degradation ofp-chlorobenzoic acid are also decomposed in all the three advanced oxidation processes. In addition, it is evidentthat the sonophotocatalytic degradation of the parent organic pollutant as well as the derivative products is muchfaster than the individual oxidation processes. It is also observed that the formation of product D is favored duringthe sonophotocatalysis.

The numeric simulation results are listed in Table 7.3. k is the rate constant of degradation of p-chlorobenzoicacid which includes the formation rate constants of compound B as well as compound C (Equation 7.3). S1 repre-sents the synergistic effect, defined by Equation 6.1, during the sonophotocatalytic degradation of p-chlorobenzoicacid. As discussed earlier, there is a slight synergistic effect observed during the conversion of p-chlorobenzoicacid to 4-chlorophenol at pH 2. k2 is the rate constant of 4-chlorophenol degradation and also the compound Dformation. S2 is the synergistic effect index during the sonophotocatalytic degradation of 4-chlorophenol, the mainproduct during the degradation of p-chlorobenzoic acid. As shown in Table 7.3, the interaction between sonolysisand photocatalysis at pH 2 for the degradation of p-chlorobenzoic acid in the combined system is additive.

As mentioned previously, at pH 10, the oxidation of p-chlorobenzoic acid by the hybrid technique seems toshow additive effects. However, the product degradation seems to lower the degradation efficiency. This hin-

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7.2. p-CHLOROBENZOIC ACID

Table 7.3: The calculated rate constants for each reaction and synergistic effect indices of the combined systemduring sonolytic, photocatalytic and sonophotocatalytic degradation of 100 µM p-chlorobenzoic acid inaqueous solution at pH 2 and pH 10.

pH Process k(10−2min−1) S1 k1(10−2min−1) k2(10−2min−1) S2 k3(10−2min−1)

Sono 1.5 0.8 2.7 0.7pH 2 Photo 3.0 1.24 2.2 5.3 0.99 0.8

Sonophoto 5.6 2.9 7.9 2.7

Sono 0.5 0.4 0.8 0.1pH 10 Photo 3.4 0.97 1.5 3.2 0.55 1.9

Sonophoto 3.8 1.5 2.2 2.3

drance effect is mainly due to the competition from other products during the degradation of p-chlorobenzoicacid. The high performance liquid chromatographs clearly show one more main product formed at pH 10 (Fig-ure 7.5 and 7.6). It is possible that this main product competes for the highly reactive OH• causing the lowerdegradation rate.

The evaluation of the synergistic effect in the combined system requires consideration of the overall influenceof the hybrid technique. Thus, it is better to take into account the degradation performance of each compoundincluding the parent organic pollutants and its derivative products.

7.2.6. Changes of Synergistic Effect with Irradiation Time

Figure 7.11 is a plot of the synergistic effect index as a function of irradiation time during the sonophotocatalyticdegradation of p-chlorobenzoic acid. Each data point was based on the assumption that the sonolysis, photocatal-ysis and sonophotocatalysis of p-chlorobenzoic acid obey pseudo-first order kinetics.

It can be observed that there is a slight synergistic effect during the whole 60 min sonophotocatalytic degrada-

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7.2. p-CHLOROBENZOIC ACID

0 10 20 30 40 50 600.8

0.9

1

1.1

1.2

1.3

Time (min)

Syn

erg

isti

c E

ffec

t In

dex

(S

)

pH 2pH 10

Figure 7.11: Synergistic effect index as a function of degradation time: the synergistic effect index of sonopho-tocatalytic degradation of 100 µM p-chlorobenzoic acid in aqueous solution at pH 2 and pH 10 as afunction of degradation time.

tion of p-chlorobenzoic acid. The synergistic effect index gradually increases during the first 40 min and reaches amaximum after 40 min degradation at pH 2. The mechanism of interaction between sonolysis and photocatalysisis not clear. One possible reason is that the interaction between these two systems involves chemical effects aswell as physical effects, which need time to adjust to each other to deliver the maximum performance.

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After 40 min, the index decreases with further increase of irradiation time. It is possible that large amounts ofproducts from the degradation of p-chlorobenzoic acid may compete for OH• radicals generated from sonolysis orphotocatalysis, leading to an inhibition effect on the degradation of the parent organic compounds. As a result, thedegradation of p-chlorobenzoic acid can be expected to gradually slow down when the product pollutant moleculestakes the position of their parents, such as at the surface of TiO2 nanoparticles in photocatalysis or at the interfaceof the cavitation bubbles in sonolysis.

Above all, during the evaluation of the degradation performance, the early irradiation period reflects the actualdegradation efficiency of the advanced oxidation technique for the parent organic pollutant. For the overall eval-uation of the whole system, it is better to take into account the degradation of parent organic pollutants as well astheir products.

Section 7.3p-Aminobenzoic Acid

7.3.1. The Influence of pH on Degradation Rate

Pseudo-first order plots of each oxidation process at pH 2 and pH 12 are used to evaluate the sonophotocatalyticdegradation of p-aminobenzoic acid (shown in Figure 7.12). Similar to the degradation of p-chlorobenzoic acid,the first 30 min data for p-aminobenzoic acid were used to calculate the degradation rate constants.

It can be seen that at pH 2, there is no significant difference between sonolysis, photocatalysis and sonopho-tocatalysis for the degradation of p-aminobenzoic acid. The combined system actually shows some inhibitingeffects instead of an enhancing effect. The p-aminobenzoic acid degradation performance of the photocatalysisand sonophotocatalysis processes were enhanced when the pH of the aqueous solution was increased to 12, whilethe sonolysis degradation became slower than that at pH 2.

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0 5 10 15 20 25 30 35 400

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

Time (min)

ln(C

0/Ct)

SonoPhotoSonophoto

(a) pH 2.

0 5 10 15 20 25 30 35 400

0.2

0.4

0.6

0.8

1

Time (min)

ln(C

0/Ct)

SonoPhotoSonophoto

(b) pH 12.

Figure 7.12: Kinetics: the pseudo-first order kinetics curves observed during the sonolytic, photocatalytic andsonophotocatalytic degradation of an aqueous solution containing 100 µM p-aminobenzoic acid atpH 2 and pH 12. The TiO2 loading in the oxidation system was 1 mg/mL. The applied ultrasonicfrequency was 213 kHz and the power was 55 mW/mL. The detection wavelength used in the HPLCwas 277 nm.

7.3.2. The Influence of pH on Product Selection

Figure 7.13 is a mass spectra in positive ion mode observed after 70 min sonophotocatalytic degradation of 100µM p-aminobenzoic acid at pH 12. The mass-charge ratio 138.1 m/z corresponds to the positively charged parentorganic compound p-aminobenzoic acid ion.

Due to the strong background signal, only three products were successfully identified by mass spectrometry.The peak at m/z 139.1 is due to the substitution of the amino group with a hydroxyl group. The product ion

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20 40 60 80 100 120 140 160 180 2000

10

20

30

40

50

60

70

80

90

100

110

47.1

138.1

139.1

154.0

Mass−to−Charge (m/z)

Cou

nts

(HCOOH+H)+

(PABA+H)+

OHHO

O

NH2HO

O

OH

Figure 7.13: Mass spectrometry analysis (the background signal was subtracted.): mass spectra of 100 µM p-aminobenzoic acid before and after 70 min sonophotocatalytic degradation. The applied ultrasonicfrequency was 213 kHz and power was 55 mW/mL. The loading of TiO2 nanoparticles was 1 mg/mL.

of m/z 154.0 is the hydroxylated p-aminobenzoic acid compound. There are a few isomeric compounds for m/z154.0. Through HPLC analysis using commercial standard samples, it was confirmed that p-hydroxybenzoic acidand 4-amino-3-hydroxybenzoic acid were the products during sonophotocatalytic degradation of p-aminobenzoicacid. Figure 7.14 shows the peaks that correspond to these two identified products in the HPLC traces.

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7.3. p-AMINOBENZOIC ACID

Two high performance liquid chromatograms observed after 70 min sonophotocatalytic degradation of 100µM p-aminobenzoic acid at pH 2 and pH 12 are shown in Figure 7.14. It is obvious that at different pH values,the products from the same oxidation process are different. In other words, the pH environment appears to controlthe reaction direction of the sonophotocatalytic degradation of p-aminobenzoic acid.

Table 7.4 lists a series of products generated during sonolytic, photocatalytic and sonophotocatalytic degrada-tion of p-aminobenzoic acid at different pH values. Although most of these products are the same, it is evidentthat the pH or the selection of different oxidation processes control the direction of the degradation. Consequently,it is possible to adopt the right process and pH value to select the products which may be less harmful to the en-vironment or to reduce the amount of comparatively more hazardous products. In addition, it should be notedthat sonophotocatalysis is likely to lead to a more efficient mineralization of organic pollutants due to its fasterdegradation of the parent as well as the product compounds.

Table 7.4: Influence of pH and advanced oxidation process on product selection during sonolytic, photocatalyticand sonophotocatalytic degradation of 100 µM p-aminobenzoic acid in aqueous solution. (-: there is nocorresponding product produced;

√: There is a significant amount of corresponding product produced;

small : There is a very small mount of corresponding product produced.)

pH Process A B C D E F

Sonolysis√ √

small small√ √

pH 2 Photocatalysis -√ √ √

-√

Sonophotocatalysis√ √ √ √

- small

Sonolysis√

-√ √ √ √

pH 12 Photocatalysis√

-√ √ √ √

Sonophotocatalysis√

-√ √ √

small

Table 7.5 summarizes the identification of products by using high performance liquid chromatographic andmass spectrometric analysis. In addition, a number of HPLC runs were taken with the commercially available

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0 2 4 6 8 10 12 14 16

−20

−15

−10

−5

0

5

10

15

20

25

30

Time (min)

mA

u

pH 2pH 12

A

B

C

D

E

F15.29min

PABA

OHHO

ONH2HO

O

OH

Figure 7.14: HPLC analysis: the high performance liquid chromatograms observed during the sonophotocatalyticdegradation of an aqueous solution of 100 µM p-aminobenzoic acid at pH 2 and pH 12. The TiO2loading in the oxidation system was 1 mg/mL. The applied ultrasonic frequency was 213 kHz andthe power was 55 mW/mL. The detection wavelength used in the HPLC was 230 nm which is themaximum absorbance wavelength of product D.

chemicals, such as phenol, aniline, 4-aminosalicylic acid, benzoic acid, p-hydroxybenzoic acid, 3,4-dihydroxybenzoicacid, quinol, catechol, 3-hydroxybenzoic acid , 2,5-dihydroxybenzoic acid, 3,5-dihydroxybenzoic acid and fu-

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7.3. p-AMINOBENZOIC ACID

maric acid in order to identify products A, B, C and E. However, there were no exact matches. Further analysis isrequired to identify these products.

Table 7.5: Identification of high performance liquid chromatographic products during sonophotocatalytic degra-dation of p-aminobenzoic acid.

Product Name StructureRetention MS

Time (min) (m/z)

A - - 3.2 -B - - 3.7 -C - - 5.0 -

D 4-Amino-3-hydroxybenzoic AcidNH2

HO

O

OH 5.9 154.0E - - 7.8 -

F p-hydroxybenzoic acidOH

OH

O

139.1 15.3

7.3.3. Synergistic Effect

A similar mathematical simulation model to that used in the analysis of p-chlorobenzoic acid was applied forevaluating the synergistic effect during the sonophotocatalytic degradation of 100 µM p-aminobenzoic acid. Fur-thermore, the reaction scheme 7.2 is also valid for the sonophotocatalytic degradation of p-aminobenzoic acid.Thus Equations 7.4-7.7 can be applied to analyze the kinetics of the degradation reaction of p-aminobenzoic acid.

The decomposition rate constant k of p-aminobenzoic acid was obtained by pseudo-first order kinetics (Fig-ure 7.12). It is evident that there is no synergistic effect at either pH value (see Table 7.6). As discussed for themethyl orange degradation process, the interaction between sonolysis and photocatalysis involves chemical reac-tions as well as physical influences. The synergistic effect of sonophotocatalysis has a number of critical reaction

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7.3. p-AMINOBENZOIC ACID

conditions. In addition, it is necessary to consider the products’ degradation performance during the evaluation ofthe synergistic effect of the whole system.

Equation 7.5 was used to simulate the formation (k1) and degradation (k2) rate constants of 4-amino-3-hydroxybenzoic acid, which was one of intermediate products formed during the sonophotocatalytic degradationof p-aminobenzoic acid. The concentration changes of 4-amino-3-hydroxybenzoic acid observed for 120 minwere used to fit this equation.

The simulated curves are shown in Figure 7.15 and the numeric results are listed in Table 7.6. Due tothe small amount of 4-amino-3-hydroxybenzoic acid produced during the sonophotocatalytic degradation of p-aminobenzoic acid, the changes of 4-amino-3-hydroxybenzoic acid and its product (compound D) are not as clearas in the 4-chlorophenol in p-chlorobenzoic acid system. However, it can be seen that sonolysis, photocatalysisand sonophotocatalysis have a strong capability in degrading p-chlorobenzoic acid and its product, 4-amino-3-hydroxybenzoic acid. It is evident that the formation of 4-amino-3-hydroxybenzoic acid was boosted at pH 12.The concentration curves of 4-amino-3-hydroxybenzoic acid show a bell shape, indicating two simultaneous pro-cesses take place, formation and degradation.

The calculated rate constants for each component are listed in Table 7.6. S1 and S2 are the synergistic effectindices during the sonophotocatalytic degradation of p-aminobenzoic acid and its product, respectively. It isevident that the sonophotocatalytic degradation of the parent compound, p-aminobenzoic acid, displays someinhibition instead of a synergistic effect at both pH values. However, the synergistic index of destruction ofits intermediate product, 4-amino-3-hydroxybenzoic acid, indicates that there is a strong synergistic effect in thecombination of sonolysis and photocatalysis at pH 2 and pH 12. At pH 2, the sonochemical irradiation appears notto produce 4-amino-3-hydroxybenzoic acid from the degradation of p-aminobenzoic acid. However, this ultrasonicoxidation technique is likely to degrade the 4-amino-3-hydroxybenzoic acid molecule which was formed from thephotocatalytic oxidation process. The same process occurred with the product E marked in Figure 7.14. Accordingto Table 7.4, product E only appears during the sonochemical degradation at pH 2 and a very slight amount appearsin the sonophotocatalytic process. In the combined system, photocatalysis accelerated the degradation of productE formed in sonolysis. In other words, sonophotocatalysis is likely to apply both the oxidation capacities ofsonolysis and photocatalysis in the destruction of each product formed from either of the two individual oxidation

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0 20 40 60 80 100 1200

20

40

60

80

100

Time (min)C

once

ntra

tion

(µM

)

PABA Analytical Data4−Amino−3−Hydroxybenzoic AcidAnalytical DataPABA4−Amino−3−Hydroxybenzoic AcidCompound CCompound D

(a) Sonolysis at pH 2.

0 20 40 60 80 100 1200

20

40

60

80

100

Time (min)

Con

cent

ratio

n (

µM)

PABA Analytical Data4−Amino−3−Hydroxybenzoic AcidAnalytical DataPABA4−Amino−3−Hydroxybenzoic AcidCompound CCompound D

(b) Photocatalysis at pH 2.

0 20 40 60 80 100 1200

20

40

60

80

100

Time (min)

Con

cent

ratio

n (

µM)

PABA Analytical Data4−Amino−3−Hydroxybenzoic AcidAnalytical DataPABA4−Amino−3−Hydroxybenzoic AcidCompound CCompound D

(c) Sonophotocatalysis at pH 2.

0 20 40 60 80 100 1200

20

40

60

80

100

Time (min)

Con

cent

ratio

n (

µM)

PABA Analytical Data4−Amino−3−Hydroxybenzoic AcidAnalytical DataPABA4−Amino−3−Hydroxybenzoic AcidCompound CCompound D

(d) Sonolysis at pH 12.

0 20 40 60 80 100 1200

20

40

60

80

100

Time (min)

Con

cent

ratio

n (

µM)

PABA Analytical Data4−Amino−3−Hydroxybenzoic AcidAnalytical DataPABA4−Amino−3−Hydroxybenzoic AcidCompound CCompound D

(e) Photocatalysis at pH 12.

0 20 40 60 80 100 1200

20

40

60

80

100

Time (min)

Con

cent

ratio

n (

µM)

PABA Analytical Data4−Amino−3−Hydroxybenzoic Acid Analytical DataPABA4−Amino−3−Hydroxybenzoic AcidCompound CCompound D

(f) Sonophotocatalysis at pH 12.

Figure 7.15: Kinetics analysis of product degradation: the analytical data and simulated concentration curvesof each component during the degradation of 100 µM p-aminobenzoic acid in aqueous solution atpH 2 and pH 12. For the analytical data of p-aminobenzoic acid, the detection wavelength usedin the HPLC was 277 nm. For the analytical data of 4-amino-3-hydroxybenzoic acid, the detectionwavelength used in the HPLC was 230 nm.

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7.4. p-HYDROXYBENZOIC ACID

processes. Specifically, the combined system is most effective in the degradation of products that are are formedexclusively by either sonolysis or photocatalysis alone. As a result, the sonophotocatalytic technique is likely tobe a cleaner oxidation process.

Table 7.6: The pseudo first-order rate constants of sonolysis, photocatalysis and sonophotocatalysis of 100 µMp-aminobenzoic acid in aqueous solution at pH 2 and pH 12.

pH Process k(10−2min−1) S1 k1(10−2min−1) k2(10−2min−1) S2 k3(10−2min−1)

Sono 1.8 ≈0 ≈0 1.8pH 2 Photo 2.0 0.58 0.1 1.5 2.80 1.9

Sonophoto 2.2 0.2 4.2 2.0

Sono 0.7 0.1 0.9 0.6pH 12 Photo 2.8 0.83 0.5 2.3 1.31 2.3

Sonophoto 2.9 0.7 4.2 2.2

Future work is required to consider the degradation of other products from p-aminobenzoic acid degradationin order to evaluate the overall synergistic effect. Due to the competition for oxidizing species provided bysonolysis and photocatalysis, each organic component is likely to be involved in the whole degradation processand contribute to the synergistic effect.

Section 7.4p-Hydroxybenzoic Acid

7.4.1. Effect of pH on Degradation Kinetics

Figure 7.16 shows the pseudo-first order kinetic plots at four different pH values observed during sonolytic, pho-tocatalytic and sonophotocatalytic degradation of 100 µM p-hydroxybenzoic acid aqueous solution. This fig-

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7.4. p-HYDROXYBENZOIC ACID

ure clearly shows that sonophotocatalytic oxidation has a stronger degradation ability for the degradation of p-hydroxybenzoic acid than the individual process at all pH values.

0 5 10 15 20 25 30 35 40 450

0.2

0.4

0.6

0.8

1

1.2

Time (min)

ln(C

0/C)

pH2 SonopH2 PhotopH2 SonoPhotopH6 SonopH6 PhotopH6 SonophotopH9 SonopH9 PhotopH9 SonoPhotopH12 SonopH12 PhotopH12 Sonophoto

Figure 7.16: Kinetics Analysis: the pseudo-first order kinetics curves observed during the sonolytic, pho-tocatalytic and sonophotocatalytic degradation of an aqueous solution containing 100 µM p-hydroxybenzoic acid at pH 2, pH 6, pH 9 and pH 12. The TiO2 loading in the oxidation systemwas 1 mg/mL. The applied ultrasonic frequency was 213 kHz and the power was 55 mW/mL. Thedetection wavelength used in the HPLC was 253 nm.

In addition, the degradation performances of all three advanced oxidation processes decrease with an increase

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of solution pH. At pH 2, all of them reach their highest performance, demonstrating the lower pH favors sonolysis,photocatalysis and sonophotocatalysis of p-hydroxybenzoic acid. There is a large decrease in the photocatalyticdegradation from pH 2 (under pH 6) to pH 9 and pH 12 (above pH 6). As discussed before (Chapter 6), theisoelectric point of TiO2 nanoparticles is 6.2 which is pivotal in determining the charge of TiO2 nanoparticles.The positively charged surface at low pH readily attracts negative organic ions and consequently results in a fasterdecomposition of organic pollutants. The neutral form of p-hydroxybenzoic acid has a higher surface activecharacter than its conjugate base form which enables it to concentrate at the surface of cavitation bubbles. Thiswas discussed in detail in Chapter 6.

The calculated rate constants of each process in Figure 7.16 are listed in Table 7.7. At all pH values, thecombined system, sonophotocatalysis, exhibits additive effects, perhaps even a slight retardation effect at pH 12.As mentioned with the p-chlorobenzoic acid system (Subsection 7.2.5), it is hard to judge the synergistic effectonly by the index from Equation 6.1. When the rate constant of one process is negligible, the error level in practicalmeasurements outweighs the real existing interaction. It is of interest that there is a big difference between the rateconstants of sonolytic degradation of p-hydroxybenzoic acid at pH 2 and pH 6, whereas the difference is smallat pH 6, pH 9 and pH 12. As mentioned the first pKa of p-hydroxybenzoic acid is 4.58, p-hydroxybenzoic acidexists in the neutral form when the pH value is under 4.58. This conjugate acid form has a higher surface activecharacter resulting in it preferring the liquid/bubble interface where it can capture the active radicals directly fromthe bubble core.

7.4.2. High Performance Liquid Chromatographic Analysis

The high performance liquid chromatograms of the sonophotocatalytic degradation of 100 µM p-hydroxybenzoicacid at four pH values are shown in Figure 7.17. The detection wavelength was 216 nm, which corresponds tothe maximum absorption wavelength of product E. The peaks corresponding to p-hydroxybenzoic acid and theproducts are marked as p-hydroxybenzoic acid, products A-F.

Noticeably, the number of products formed is quite different at different pH values. For example, only avery negligible amount of product E was produced at pH 2 and there is no signal from product B during the

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Table 7.7: The calculated rate constants for each reaction and synergistic effect index of the combined systemduring sonolytic, photocatalytic and sonophotocatalytic degradation of 100 µM p-hydroxybenzoic acidin aqueous solution at pH 2, pH 6, pH 9 and pH 12.

pH Process k (×10−2min−1) S

Sonolysis 1.6pH 2 Photocatalysis 2.2 0.87

Sonophotocatalysis 3.3

Sonolysis 0.8pH 6 Photocatalysis 2.2 1.00

Sonophotocatalysis 3.0

Sonolysis 0.8pH 9 Photocatalysis 0.8 1.00

Sonophotocatalysis 1.6

Sonolysis 0.5pH 12 Photocatalysis 0.5 0.70

Sonophotocatalysis 0.7

degradation of p-hydroxybenzoic acid at pH 6, pH 9 and pH 12. This demonstrates that the solution pH playsan essential role in determining the degradation pathway of p-hydroxybenzoic acid. The observed results fromindependent sonolytic and photocatalytic degradation experiments suggests that these effects on the degradationpathway are mainly expressed in their influence via sonolysis. It is known that the neutral and ionized organicmolecules undergo different degradation pathways due to the nature of cavitation [194–196]. The pyrolysis ofvolatile neutral molecules could be expected to occur within the cavitation bubbles. In addition, the electronicstructure changes of organic molecules always accompanies the transformation between the molecular and ionized

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0 2 4 6 8 10 12 14 16 18−40

−30

−20

−10

0

10

20

30

40

50

60

Time (min)

Am

plitu

de (

mV

olts

)

pH 2pH 6pH 9pH 12

A

B

C D

E

F

p-hydroxybenzoic acid

Figure 7.17: HPLC Analysis: the high performance liquid chromatographs observed during the sonophotocat-alytic degradation of an aqueous solution of 100 µM p-hydroxybenzoic acid at pH 2, pH 6, pH 9and pH 12. The TiO2 loading was 1 mg/mL. The applied ultrasonic frequency was 213 kHz andthe power was 55 mW/mL. The detection wavelength used in the HPLC was 216 nm which is themaximum absorbance wavelength of Product E.

forms. These changes are able to alter the rates at which radicals attack sites on a molecule , and also may lead todifferent products.

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7.4.3. Degradation of Products

In order to understand the influence of pH on the sonophotocatalytic degradation of p-hydroxybenzoic acid, thegraphical plots showing the concentration of six products against the degradation time are shown in Figure 7.18.Due to the fact the peaks of product A and B lie in the system peaks (retention time: 3.0-4.5 min), the heightof respective peaks were used to compare the degradation of products. Because of the very small amounts ofproducts C, D and F, the height of their peaks were also used to represent the concentration of each component.

As shown in Figure 7.18, the peak height of product A and B at pH 2 is far higher than that at pH 6, pH 9 andpH 12, indicating that low pH value favors the formation of the hydrophilic products. It is of interest to note thata large amount of product B was formed during the first 10 min of degradation at pH 2. After that, there is only aslight increase observed.

There is almost no effect of pH on the formation of product C. However, higher solution pH facilitates theformation of products D, E and F. All of these three products reach their maximum amount at pH 12 duringsonophotocatalytic degradation, which is larger than the amount formed at pH 2. For these three products, theamount produced at pH 12 is far more than that at pH 2. According to the results from a separate series ofexperiments, these large differences appear to be mainly due to sonochemical degradation and only minimalamount changes take place at various pH values during photocatalysis. For example, there was no product Fgenerated during photocatalytic degradation at all four pH values.

In summary, the aqueous solution pH has a strong influence on the pathway and direction of the sonophoto-catalytic degradation of p-hydroxybenzoic acid. It is possible to adjust the solution pH in order to select certaindegradation reactions that minimize the more harmful degradation products, and even convert them to useful ma-terials for other reactions. In addition, for those products formed in one individual oxidation process, whereasnot in the other, they are expected to undergo faster degradation in sonophotocatalysis compared to the individualtechniques, as both sonolysis as well as photocatalysis can decompose these products simultaneously in the hybridsystem.

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0 10 20 30 40 50 60 700

20

40

60

80

100

120

Time (min)

No

rmal

ized

Pea

k H

eig

ht

(mA

u)

pH2pH6pH9pH12

(a) product A at 202 nm

0 10 20 30 40 50 60 70

0

20

40

60

80

100

120

140

160

180

Time (min)

No

rmal

ized

Pea

k H

eig

ht

(mA

u)

pH2pH6pH9pH12

(b) product B at 199 nm

0 10 20 30 40 50 60 700

0.1

0.2

0.3

0.4

0.5

0.6

Time (min)

No

rmal

ized

Pea

k H

eig

ht

(mA

u)

pH2pH6pH9pH12

(c) Product C at 217 nm

0 10 20 30 40 50 60 700

0.5

1

1.5

2

2.5

Time (min)

No

rmal

ized

Pea

k H

eig

ht

(mA

u)

pH2pH6pH9pH12

(d) Product D at 209 nm

0 10 20 30 40 50 60 700

50

100

150

200

Time (min)

No

rmal

ized

Pea

k A

rea

(mA

u)

pH2pH6pH9pH12

(e) Product E at 216 nm

0 10 20 30 40 50 60 700

0.2

0.4

0.6

0.8

Time (min)

No

rmal

ized

Pea

k H

eig

ht

(mA

u)

pH2pH6pH9pH12

(f) Product F at 296 nm

Figure 7.18: Product Degradation: the high performance liquid chromatographic peaks (or areas) of each compo-nent as a function as degradation time observed during the degradation of 100 µM p-hydroxybenzoicacid in aqueous solution at pH 2, pH 6, pH 9 and pH 12. The TiO2 loading in the oxidation systemwas 1 mg/mL. The applied ultrasonic frequency was 213 kHz and the power was 55 mW/mL.

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So long, farewell, my bubbles,So long, farewell, my pink methyl orange,So long, farewell, my carboxylic acids.

XH

8Concluding Remarks

The primary goal of this thesis work was to focus on fabricating high performance electrocatalysts forapplication in fuel cells and developing an appropriate advanced oxidation process for environmentalremediation, as well as to gain fundamental understanding of the mechanism of acoustic cavitation andany external influences acting on it. Substantial progress in studying and exploring the fundamental

applications of ultrasound has been made in achieving the research objectives.

- 211-

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8.1. PTRU BIMETALLIC NANOPARTICLES SYNTHESIS AND THEIR ELECTROCATALYTIC ABILITY

Section 8.1PtRu Bimetallic Nanoparticles Synthesis and their Electrocatalytic Ability

The aim of this research component was to develop an appropriate sonochemical synthetic method to fabricatemonometallic/bimetallic nanoparticles with certain structure and properties for further applications. A compar-ative study of the electrocatalytic ability of PtRu nanoparticles synthesized by different methods was also ofparticular interest for the fabrication of high performance nanoparticles. The experimental results from this studysuggest that ultrasound is very useful in synthesizing a wide range of nanometer-sized materials.

The synthesis and evaluation of monometallic/bimetallic nanoparticles led to the following conclusions:

Ultrasonic irradiation of aqueous solutions containing precious metal ions is an effective method for thepreparation of nanometer sized metal colloids. It has been clearly shown that in the absence of ultra-sound, the precursor solutions of Pt(II) or mixture of Pt(II) and Ru(III) ions were successfully convertedinto zerovalent metallic or bimetallic colloids. Furthermore, ultrasonic irradiation provided a controllableand inexpensive method to fabricate these particles with uniform shapes and narrow size distribution. Thediameters of platinum and platinum-ruthenium particles synthesized at a frequency of 213 kHz ultrasoundirradiation were less than 10 nm. In addition, the sonochemical synthesis was found to be a green technologyand avoids the involvement of undesirable chemicals;

The high resolution transmission electron microscopic images do indeed show core-shell bimetallic struc-tures with the ruthenium forming a layer around the platinum core particles. The structural characterizationproved that the sequential reduction method produces a relatively higher yield of core-shell nanoparticlesthan the simultaneous reduction method. The electron collection behavior of existing platinum particles wasfound to play a significant role in forming the core-shell structure.

The X-ray photoelectron spectra proved that the presence of Pt can provide a new pathway to assist theultrasonic synthesis of ruthenium metal nanoparticles. It was found that ultrasound irradiation is unableto convert ruthenium ions to zerovalent metal particles unless platinum metal particles are present in the

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8.2. DEGRADATION OF ORGANIC POLLUTANTS USING COMBINED OXIDATION TECHNIQUES

aqueous solution. The platinum nanoparticles act as a catalyst during sonochemical synthesis of rutheniumparticles.

It has been found that the stabilizer has a significant influence on the sonochemical synthesis of nanoparti-cles. Monitoring of the absorption spectra has shown that the preparation of PtRu bimetallic nanoparticleswith PVP is faster than that with SDS. Due to the fact that faster reduction leads to relatively smaller parti-cles, the observation that smaller particles were prepared in PVP system has suggested that PVP is the morefavorable stabilizer for sonochemical synthesis of nanoparticles.

It has also been observed that PSS is a better stabilizer than PVP and SDS during the sonochemical synthesisof PtRu nanoparticles for fuel cell application. It can provide better conductive environment and thereforeenhance the electrocatalytic performance of these bimetallic nanoparticles.

The synthesis of platinum-ruthenium bimetallic nanoparticles, the most promising electrocatalyst candidatefor fuel cells, can be successfully achieved by using either sonochemical or radiolytic irradiation.

The change of platinum to ruthenium ions ratio in the precursor solution is an effective method of alteringthe composition percentage of prepared PtRu bimetallic nanoparticles and consequently influencing theirelectrocatalytic performance.

PtRu nanoparticles synthesized by simultaneous reduction, especially simultaneous radiolytic irradiation,have potential use as catalysts in fuel cells.

Section 8.2Degradation of Organic Pollutants Using Combined Oxidation Techniques

The aim of this aspect of the work was to obtain an in-depth understanding and conduct a comprehensive eval-uation of the sonophotocatalytic degradation of organic pollutants in aqueous environments. The degradationefficiencies of sonolysis, photocatalysis and sonophotocatalysis were systematically studied and compared.

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A number of findings of this study reveal the potential application for environmental remediation. The follow-ing is a summary of these findings:

Sonophotocatalysis was systematically studied and applied to oxidize various organic pollutants in aque-ous solutions. A key observation of this study was the discovery of synergistic effects of the combinedoxidation system on the degradation of the subsequent products formed during the degradation of the par-ent compound. Specifically, the combined system is most effective in the degradation of products that areformed exclusively by either sonolysis or photocatalysis alone. It has been observed that sonolysis, pho-tocatalysis and sonophotocatalysis can decompose the parent organic pollutants as well as their products.Therefore, in the overall evaluation of the synergistic effect of the combined system, it is necessary to con-sider the influence of the combined process on the degradation of the reaction products. The decompositionof these products was also found to reduce the degradation efficiency of the parent organic pollutants.

The results of the orthogonal array experimental design suggest that the efficiency of sonophotocatalyticdegradation is significantly controlled by the frequency and power of the applied acoustic field, the pH ofthe aqueous solution and the photocatalyst loading. The efficiency of degradation correlated with the rate ofproduction of the highly reactive radicals, which in turn is influenced by the applied ultrasound irradiation.

It been shown that photocatalysis combined with sonolysis is likely to require less photocatalyst loading incomparison with individual photocatalysis.

It was observed that the solution pH and the nature of the solute played a key role in the sonophotocatalyticdegradation. The pH and nature of the organic pollutants can alter the hydrophobic and surface activeproperties of the pollutants. These changes are likely to alter the overall sonophotocatalytic degradationrate.

Analysis of the products formed during sonophotocatalytic degradation has demonstrated that the pH orthe selection of oxidation process is able to control the direction of the whole degradation. The quantita-tive yield measurement of the products has shown that the solution pH or oxidation process can alter the

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8.2. DEGRADATION OF ORGANIC POLLUTANTS USING COMBINED OXIDATION TECHNIQUES

amount of each product generated during sonophotocatalytic degradation. This observation reveals the po-tential of sonophotocatalysis to guide the degradation reaction in a less harmful direction for environmentalremediation.

Based on the analysis of the mathematical model, sonophotocatalytic degradation of the parent organic pol-lutants as well as the derivative products is much faster than the individual oxidation processes, namelysonolysis and photocatalysis. Therefore, the sonophotocatalytic technique is likely to lead to a more com-plete and faster mineralization of organic pollutants in aqueous solutions.

It has been shown that sonolysis is effective in decomposing hydrophobic organic compounds and photo-catalysis is better for hydrophilic ones. The hydrophobic property leads to a higher surface activity, whichresults in increasing the organic molecules probabilities of encountering with highly reactive primary radi-cals at the liquid/bubble interface. Hydrophilic molecules are readily adsorbed on the surface of TiO2 anddecomposed by photocatalysis.

It has been hypothesized that by combining the photocatalytic technique with the sonochemical techniquethe efficiency of these photocatalysts will be enhanced for the degradation of the parent organic pollutants.However, the data obtained did not show any remarkable evidence that the photocatalytic oxidation may beimproved by the introduction of sonolysis. The interaction between sonolysis and photocatalysis has beenfound to be more complicated, as it involves chemical reactions as well as physical influences. Thus, it isclear that understanding the mechanism of the interaction of a combined system is prerequisite to obtainingsynergistic effects between sonolysis and photocatalysis of organic pollutants.

Although these results of the sonochemical synthesis of nanoparticles and sonophotocatalytic degradation oforganic pollutants are still at a preliminary stage, some of these results are useful for understanding the fundamen-tal role that sonochemistry plays in nano-material synthesis and environmental remediation and have potential topave a road for further use in practical applications of ultrasound and advanced oxidation processes.

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Appendices

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ANumerical Simulation of Bubble Motion

Section A.1Introduction

The equation for the motion of a spherically oscillating gas bubble under harmonic irradiation is given by theRayleigh-Plesset Equation. A particular form of this equation investigated here is one that has been frequentlyused in recent studies.

RR +3

2R2 =

1

ρ[(Pg − P0 − P (t)− 2σ

R− 4ηR

R+

R

c0

(Pg + Pa)] (2.4)

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A.2. REFERRED CONSTANTS

Pg = (P0 +2σ

R0

)(R3

0 − a3)κ

(R3 − a3)κ(2.5)

Section A.2Referred Constants

The constants used in simulation are listed in Table A.1.

Table A.1: The reference constants (25°C) used in the numerical simulation.

Name Symbol Value Unit Reference

Density of Water ρ 997.0480 kg/m3 [26]Speed of Sound (air) c0 1497.4 m/s [26]Standard Atmosphere Pressure P0 1.01325×105 Pa [26]Surface Tension of Water σ 0.07199 N/m [26]Viscosity of Water η 0.89×10-3 Pa s [26]Ratio of the Specific Heat κ 1.401 for air, 5/3 for Ar - [18, 26]van der Waals Hard-core a R0/8.54 for air, R0/8.8 for Ar - [18–21]

Section A.3MatLab Code

The whole simulation code was implanted in a technical language MatLab. The functions used in are included inMatLab basic function library. For usage of each function, please refer to the specific help documents of MatLab.

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A.3. MATLAB CODE

The whole program is marked with comments in order to develop an easy way to understand each steps.

function [Radius,time]=BubbleDynamics(Frequency,InitialRadius,USPower,Area,Time,Gas,Pa)% Author : Yuanhua HE% School of Chemistry, University of Melbourne, Australia% Create: 01/11/2008 23:08:23

% Brief Introduction:% BubbleDynamics - A numerical solution to Rayleigh-Plesset Equation% considering the damping effect.% Input: a series of initial conditions and ultrasonic parameters.% Frequency: the frequency of the driving ultrasound, kHz;% InitialRadius: the initial radius of a bubble, um;% USPower: the total power of the driving ultrasound, W;% Area: the affected area of the above power, cm2;% Time: the investigated time period, s;% Gas: ’A’ for argon, the all rest for air atmosphere;% Pa: pressure amplitude if the unit is atm. It has% priority to the values of Power and Area for% caculating the driving pressure.% Output: the radius (um) changes of the bubble and the corresponding time (us);

% For Example:% [Radius,time]=BubbleDynamics(20,5,0,0,80,’s’,1.3);% [Radius,time]=BubbleDynamics(213,1.6,100,-6,40,’x’,1.4);% [Radius,time]=BubbleDynamics(20,5,0.5894,1,80,’A’);

% Convert to international units

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A.3. MATLAB CODE

f=Frequency*1e3;R0=InitialRadius*1e-6;T=Time*1e-6;

% If the unit of pressure is atmif nargin==7

P=Pa*1.01325e5;else I=USPower/(Area*1e-4);

rho=997.0480;c0=1497.4;P=sqrt(2*I*rho*c0);

end;

% A numerical solution based on Runge-Kutta(4,5) formulaoption = odeset(’RelTol’,1e-7);sol = ode45(@BubbleSize,[0 T],[R0; 0],option,R0,f,P,Gas);time = sol.x*1e6;Radius = sol.y(1,:)*1e6;Pt = P*sin(2*pi*f*sol.x)/1.01325e5;

% Plot the radius of bubble vs timefigure(’Color’,’w’);[AX,H1,H2]=plotyy(time,Radius,time,Pt);set(H1,’LineStyle’,’-’,’LineWidth’,2);set(H2,’LineStyle’,’:’,’LineWidth’,2);set(get(AX(1),’Ylabel’),’String’,’Bubble Radius (“mum)’,’FontWeight’,’bold’,’FontSize’,20);set(get(AX(2),’Ylabel’),’String’,’Pressure (atm)’,’FontWeight’,’bold’,’FontSize’,20);xlabel(’Time (“mus)’,’FontWeight’,’bold’,’FontSize’,20);

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A.3. MATLAB CODE

set(AX,’FontWeight’,’bold’,’FontSize’,16,’LineWidth’,2,’Color’,’none’);

function dRdt = BubbleSize(t,y,R0,f,P,Gas)

rho = 997.0480; % Density of Water:c0 = 1497.4; % Speed of sound:P0 = 1.01325e5;sigma = 0.07199; % Surface Tensioneta = 0.89e-3; % Viscosityif Gas == ’A’ % Argon

k = 5/3;a = R0/8.8;

else k = 1.401; % Aira=R0/8.54;

end;

Pt=P*sin(2*pi*f*t);dPt=2*pi*f*P*cos(2*pi*f*t);

Pg=(P0+2*sigma/R0)*(R0ˆ3-aˆ3)ˆk/(y(1)ˆ3-aˆ3)ˆk;dPg=-3*k*(P0+2*sigma/R0)*(R0ˆ3-aˆ3)ˆk*y(1)ˆ2*y(2)/(y(1)ˆ3-aˆ3)ˆ(k+1);

Pl=Pg-P0-Pt-2*sigma/y(1);Pvis=4*eta*y(2)/y(1);Pd=y(1)/c0*(dPg-dPt);

dRdt = [y(2); ((Pl-Pvis+Pd)/rho-3/2*y(2)ˆ2)/y(1)];

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BTiO2 Photocatalyst

Section B.1Crystal Types of TiO2

There are three crystal structures of titanium dioxide: rutile, anatase and brookite. The last one is usually foundonly in minerals and has a orthorhombic crystal structure. The rutile and anatase have attracted a considerableattention in recent years, particularly in the field of photocatalysts. The lattice structures are shown in the followingfigures (Figures B.1 and B.1).

In the rutile and anatase forms, the TiO6 binding octahedra are slightly distorted with two different Ti-Obinding lengths and different O-Ti-O angles. The distortion in the anatase form is larger than in the rutile form.

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B.1. CRYSTAL TYPES OF TIO2

Figure B.1: Structure of anatase crystal.

Brookite is the most complicated structure with six different Ti-O binding lengths and 12 different O-Ti-O bindingangles.

Anatase type titanium dioxide generally shows a higher photoactivity than the other types of titanium diox-ide [232]. One of the reasons for this may lie in the differences in their semiconductor energy band structures. Thebandgap of anatase-type titanium dioxide is 3.2 electron volts (eV) corresponding to UV light 388 nm, while thebandgap of the rutile-type is 3.0 eV corresponding to 413 nm. The valence bands for the anatase and rutile formsare similar, and the conduction band of anatase is higher in the energy diagram, this type of TiO2 has a higherreducing power.

It is well known that the crystalline quality is a significant factor in the photocatalytic activity, and a highdegree of crystallinity brings high photocatalytic activity. However, the mechanism of the influence of crystalphases on photocatalytic activity is still unclear. There are quite a number of publications studying the effects ofrutile/anatase crystal types on photocatalytic ability but few relating to sonochemical degradation.

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B.2. THE INFLUENCE OF TIO2 PARTICLE SIZE ON ITS BANDGAP

Figure B.2: Structure of rutile crystal.

Section B.2The Influence of TiO2 Particle Size on Its Bandgap

In the process of photocatalysis in the presence of TiO2, it is well established that the size of the particles playa key role in improving the efficiency of degradation. Louis Brus mathematically described the size-dependentbandgap shifts in quantum-size semiconductors by using electronic wave functions [311].

∆Eg = E(R)− E(R →∞) =~2π2

2µR2− 1.786e2

εR− 0.248E∗

Ry (B.1)

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B.2. THE INFLUENCE OF TIO2 PARTICLE SIZE ON ITS BANDGAP

Table B.1: Crystal structure data of the three crystal modifications of TiO2. [310]

Properties Rutile Anatase Brookite

Crystal Structure: Tetragonal Tetragonal OrthorombicLattice Constant a (A): 4.5929 3.785 9.166Lattice Constant b (A): 4.5929 3.785 5.436Lattice Constant c (A): 2.9591 9.514 5.135

Space group: 136, P42/mnm 141, I41/amd 61, PbcaAtoms per cell: 6 6 24

Basis coordinates in units: Ti: 0.0 0.0 0.0 Ti: 0.0 0.0 0.0 Ti: 0.127 0.113 0.873of the lattice constants: O: 0.3056 0.3056 0.0 O: 0.0 0.0 0.2064 O1: 0.010 0.155 0.180

O2: 0.230 0.105 0.535Ti-O bond length (A): 1.945 (4 ×) 1.937 (4 ×) 1.92 up to 1.98

1.985 (2 ×) 1.964 (2 ×)O-Ti-O bond angle: 81.0° 77.6° 77° up to 100°

90.0° 92.6°

Here, E(R) is the absorption bandgap of nano-semiconductor particles; E(R → ∞) is the bulk semiconductorbandgap energy; R is the radius of the particles; µ is the exciton reduced mass of the exciton, i.e., µ = (1/m∗

e +1/m∗

h)−1, where m∗

e is the effective mass of the electron and m∗h is the effective mass of the holes; ε is the dielectric

constant of the material; E∗Ry is the effective Rydberg energy of the bulk exciton, i.e., E∗

Ry = µe4/2ε2h2.According to the Brus Equation B.1, the relationship (Figure B.3) between the bandgap shifts and the particle

radius can be calculated in terms of ε = 184, µ = 1.63me (where me is the electron rest mass) [312].The critical radius of the quantum size effect is mathematically deduced with a resultant value of 16 nm (as

the inset of Figure B.3 ), which means for titanium dioxide, there is no bandgap shifts until the particle size is lessthan 32 nm.

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B.3. MATLAB CODE FOR SOLVING THE BRUS EQUATION

0.5 1 1.5 2 2.5 3-0.1

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

R /nm

Eg /

eV

Eg

First

Second

Third

14 14.5 15 15.5 16 16.5 17 17.5 18 18.5 19-2

0

2

4

6

8

10

12 x 10-4

Figure B.3: The quantum size effect of nanometer sized titanium dioxide.

Section B.3MatLab Code for Solving the Brus Equation

The code is implanted by using the technical language, MatLab.

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B.3. MATLAB CODE FOR SOLVING THE BRUS EQUATION

function y=Brusplot% Author : Yuanhua HE% School of Chemistry, University of Melbourne, Australia% Create: 08/06/2005 09:35:13

x1=[0.5:0.01:1,1.1:0.1:3]’;x=x1/10ˆ9;e=1.6021773349*10ˆ(-19);me=9.109389754*10ˆ(-31);h=6.626075540*10ˆ(-34);epsilon=184*4*pi*8.854187817*10ˆ(-12);mestar=9*me;mhstar=2*me;mu=1/(1/mestar+1/mhstar);ERy=eˆ4/(2*epsilonˆ2*hˆ2*(1/mestar+1/mhstar));

First=((h/2/pi)ˆ2*piˆ2/2/mu.*x.ˆ(-2))/e;Second=(1.786*eˆ2/epsilon.*x.ˆ(-1))/e; Third=0.248*ERy/e;F=First-Second-Third;

vpa([x1,3.2+F,F/3.2*100],6)

hold off;plot(x1,F,’k-’,’LineWidth’,1);hold on;plot(x1,First,’k:’,’LineWidth’,1);plot(x1,Second,’k--’,’LineWidth’,1);

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B.3. MATLAB CODE FOR SOLVING THE BRUS EQUATION

plot(x1,Third*ones(size(x1)),’k-.’,’LineWidth’,1);

legend(’“DeltaEg’,’First’,’Second’,’Third’);set(gca,’FontWeight’,’bold’,’FontSize’,11,’LineWidth’,1);xlabel(’R (nm)’,’FontWeight’,’bold’,’FontSize’,16);ylabel(’“DeltaEg (eV)’,’FontWeight’,’bold’,’FontSize’,16);

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CApplication of Orthogonal Array Design in

Methyl Orange Degradation

This appendix provides the supplementary materials to support and explain the orthogonal array experiment designand analysis used in Chapter 6. A Design of Experiments (DOE) module of MINITAB statistical software wasused to demonstrate the procedure of orthogonal array analysis.

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C.1. RESULTS OF ORTHOGONAL ARRAY EXPERIMENTAL DESIGN

Section C.1Results of Orthogonal Array Experimental Design

An L16(44) orthogonal array was used to develop an effective method to reveal the correlation between the effi-

Table C.1: The first-order rate constants and synergism of 60 min sonolysis, photocatalysis andsonophotocatalysis of 100 µM methyl orange in 16 orthogonal array experimental runs.

Run Freq. PowerpH

TiO2 kS kPC kSPC SNo. (kHz) (mW/mL) (mg/mL) (10−2min−1) (10−2min−1) (10−2min−1)

1 213 16 7 1.0 0.1 1.3 1.5 1.12 213 88 4 2.0 4.0 1.6 3.2 0.63 213 55 3 5.0 1.9 1.8 1.8 0.54 213 35 2 0.5 1.0 2.1 3.0 0.95 355 16 4 5.0 0.0 1.8 1.3 0.76 355 88 7 0.5 5.7 1.5 4.9 0.77 355 55 2 1.0 3.1 1.9 4.6 0.98 355 35 3 2.0 2.2 1.9 2.7 0.69 647 16 3 0.5 0.1 1.7 1.6 0.910 647 88 2 5.0 2.6 1.5 4.0 1.011 647 55 7 2.0 1.1 1.8 2.4 0.812 647 35 4 1.0 0.6 1.2 1.4 0.813 1056 16 2 2.0 0.0 2.1 1.9 0.914 1056 88 3 1.0 1.9 1.3 2.7 0.815 1056 55 4 0.5 0.5 1.0 1.3 0.916 1056 35 7 5.0 0.1 1.8 1.2 0.7

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ciencies of the individual systems and the synergistic effect of sonophotocatalysis, and the operation conditionsdescribed in Chapter 6. The calculated first-order rate constants for each process and the synergistic effect indexof combined system are listed in Table C.1. Here, kS is the first-order rate constant for 60 min sonolysis of methylorange, and kPC, for photocatalysis and kSPC for sonophotocatalysis, respectively. As discussed in Chapter 6, theratio (S) of the sonophotocatalytic rate constant and the summed rate constants of the individual processes wasused to evaluate the synergistic effect of a combined system (refer to Equation 6.1.

S =kSPC

kS + kPC(6.1)

C.1.1. Results of Sonolysis

The numerical results listed in Table C.2 are related to Figure 6.3. Table C.2 lists the analytical results of theorthogonal array design method for 60 min sonolysis of 100 µM methyl orange.

The average first-order constants (kI-kIV) correspond to their unique factor and level. For example, the thirdlevel of ultrasonic power (55 mW/mL) corresponds to Experiments 3, 7, 11 and 15. Therefore,

kPowerIII = (1.9 + 3.1 + 1.1 + 0.5)/4 = 1.65(×10−2min−1) (C.1)

All the calculated average first-order constants for each level of each factor are shown in the middle of Figure C.2.∆k is the difference between the maximum and the minimum of the average first-order constant of each

factor. Taking the rate constants for the pH factor as an example, the maximum average first-order rate constantis 1.73×10−2min−1 and the minimum is 1.28×10−2min−1. Consequently, ∆k, the difference between them,is 0.46×10−2min−1. ∆k indicates the influence of the corresponding factor on the degradation efficiency ofsonolysis. According to the calculated ∆k, the ultrasonic power has the greatest influence on the sonochemicaldegradation of methyl orange. In other words, the selection of ultrasonic power leads to greatest change ofdegradation efficiency.

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C.1.2. Results of Photocatalysis

The numerical results listed in Table C.3 relate to Figure 6.2. All the calculations followed the method describedin Subsection C.1.1.

C.1.3. Results of Sonophotocatalysis

The numerical results listed in Table C.4 are related to Figure 6.7. The same calculation procedure in Subsec-tion C.1.1 was used in the sonophotocatalysis of methyl orange.

Section C.2Orthogonal Array Analysis with MINITAB Statistical Software

MINITAB, a statistical software package, provides a convenient way to create orthogonal array experimental runsand quantitatively analyze the obtained results. This Section takes the sonophotocatalytic degradation of methylorange as a typical example to demonstrate MINITAB can be create and analyze an orthogonal array experimentdesign. The Manual of MINITAB, Help-to-Go [313], provides a detailed procedure for each operation, which is agood reference resource for further reading.

C.2.1. Creating An Orthogonal Array Design

Create a L16(44) orthogonal array: Menu Stat → DOE → Taguchi → Create Taguchi Design. . .

In the Taguchi Design window, select 4-Level Design (2 to 5 factors) and 4 (factors) in Number of factors rolllist.

Arrange four factors and four levels;

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C.2. ORTHOGONAL ARRAY ANALYSIS WITH MINITAB STATISTICAL SOFTWARE

Figure C.1: Create a L16(44) orthogonal array.

Click the Designs. . . button and select L16 4**4 in Taguchi Design - Design window, then click Factors. . . andinput values as shown in Figure C.2.

Run 16 experiments and fill the results in the last column (shown in Figure C.3).

C.2.2. Analyzing the Orthogonal Array Design

MINITAB Statistical Software also integrates the analysis function. It is a convenient way to avoid tedious statis-tical calculations.

Start the function of the orthogonal array design analysis (see Figure C.4).

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C.2. ORTHOGONAL ARRAY ANALYSIS WITH MINITAB STATISTICAL SOFTWARE

Figure C.2: Input four factors and their corresponding four levels.

Set the calculated first-order rate constants as Response data (see Figure C.5).

The results are shown in the Session window (see Figure C.6).

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C.2. ORTHOGONAL ARRAY ANALYSIS WITH MINITAB STATISTICAL SOFTWARE

Figure C.3: Run 16 experiments and input first-order rate constants for each sonophotocatalysis experiment.

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C.2. ORTHOGONAL ARRAY ANALYSIS WITH MINITAB STATISTICAL SOFTWARE

Table C.2: The results of orthogonal array design analysis for 60 min sonolysis of 100 µM methyl orange.

Run No. Freq. (kHz) Power (mW/mL) pH TiO2(mg/mL) kS (×10−2min−1)

1 213 16 7 1.0 0.12 213 88 4 2.0 4.03 213 55 3 5.0 1.94 213 35 2 0.5 1.05 355 16 4 5.0 0.06 355 88 7 0.5 5.77 355 55 2 1.0 3.18 355 35 3 2.0 2.29 647 16 3 0.5 0.110 647 88 2 5.0 2.611 647 55 7 2.0 1.112 647 35 4 1.0 0.613 1056 16 2 2.0 0.014 1056 88 3 1.0 1.915 1056 55 4 0.5 0.516 1056 35 7 5.0 0.1

kI 1.77 0.06 1.67 1.83kII 2.74 0.99 1.54 1.41kIII 1.09 1.65 1.28 1.84kIV 0.63 3.53 1.73 1.15

∆k 2.11 3.47 0.45 0.68Rank 2 1 4 3

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C.2. ORTHOGONAL ARRAY ANALYSIS WITH MINITAB STATISTICAL SOFTWARE

Table C.3: The results of orthogonal array design analysis for 60 min photocatalysis of 100 µM methyl orange.

Run No. Freq. (kHz) Power (mW/mL) pH TiO2(mg/mL) kPC (×10−2min−1)

1 213 16 7 1.0 1.32 213 88 4 2.0 1.63 213 55 3 5.0 1.84 213 35 2 0.5 2.15 355 16 4 5.0 1.86 355 88 7 0.5 1.57 355 55 2 1.0 1.98 355 35 3 2.0 1.99 647 16 3 0.5 1.710 647 88 2 5.0 1.511 647 55 7 2.0 1.812 647 35 4 1.0 1.213 1056 16 2 2.0 2.114 1056 88 3 1.0 1.315 1056 55 4 0.5 1.016 1056 35 7 5.0 1.8

kI 1.69 1.73 1.88 1.58kII 1.76 1.72 1.67 1.53kIII 1.56 1.60 1.38 1.83kIV 1.54 1.50 1.61 1.71

∆k 0.22 0.24 0.50 0.30Rank 4 3 1 2

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C.2. ORTHOGONAL ARRAY ANALYSIS WITH MINITAB STATISTICAL SOFTWARE

Table C.4: The results of orthogonal array design analysis for 60 min sonophotocatalysis of 100 µM methylorange.

Run No. Freq. (kHz) Power (mW/mL) pH TiO2(mg/mL) kS (×10−2min−1)

1 213 16 7 1.0 1.52 213 88 4 2.0 3.23 213 55 3 5.0 1.84 213 35 2 0.5 3.05 355 16 4 5.0 1.36 355 88 7 0.5 4.97 355 55 2 1.0 4.68 355 35 3 2.0 2.79 647 16 3 0.5 1.610 647 88 2 5.0 4.011 647 55 7 2.0 2.412 647 35 4 1.0 1.413 1056 16 2 2.0 1.914 1056 88 3 1.0 2.715 1056 55 4 0.5 1.316 1056 35 7 5.0 1.2

kI 2.37 1.58 3.34 2.69kII 3.36 2.07 2.18 2.55kIII 2.35 2.50 1.81 2.52kIV 1.76 3.69 2.50 2.08

∆k 1.60 2.11 1.53 0.61Rank 2 1 3 4

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Figure C.4: Analyze the results of L16(44) orthogonal array experiment design.

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Figure C.5: Set the first-order rate constants of sonophotocatalysis as response data.

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C.2. ORTHOGONAL ARRAY ANALYSIS WITH MINITAB STATISTICAL SOFTWARE

Figure C.6: Automatically calculate the results.

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Index

Acousticsacoustic science, 7sound, 7ultrasound, 9

Cavitation, 10acoustic cavitation, 2bubble fate, 10collapse, 2, 18contraction, 15expansion, 15rectified diffusion, 13stable cavitation, 17temperature, 21transient cavitation, 17

Chemical Reductionplatinum-ruthenium, 122ruthenium, 93sequential reduction, 122simultaneous reduction, 122

Crystal Latticegold, 39palladium, 42platinum, 85platinum-ruthenium, 106silver, 43

Cyclic Voltammetryelectrochemical active surface area, 117platinum, 117, 119platinum-ruthenium, 122, 124, 129, 131, 134, 136,

138setup, 73

Direct Methanol Fuel Cells, 113bifunctional mechanism, 126DMFC, 4platinum, 115ruthenium, 117, 126setup, 113

High Performance Liquid Chromatography, 78

- 270-

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INDEX

p-aminobenzoic acid, 199p-chlorobenzoic acid, 180p-hydroxybenzoic acid, 206methyl orange, 166

Hot Spotelectrical theory, 20hot-spot theory, 20

Mass Spectrometrymethyl orange, 166Q-TOF LC/MS, 81

Mass spectrometryp-chlorobenzoic acid, 181

PhotocatalysisTiO2, 148enhancement, 60environmental remediation, 57mechnism, 58methyl orange, 145, 162, 166optimization, 145pH, 146setup, 77

Planck’s radiation law, 20PVP, 108

gold, 38palladium, 42platinum, 84

platinum-ruthenium, 103, 106ruthenium, 90silver, 43

Radiolytic Reductionmechanism, 49metal nanoparticles, 47pathway, 48platinum-ruthenium, 133sequential reduction, 134simultaneous reduction, 136, 138synthesis of metallic nanoparticles, 70

Rayleigh-Plesset Equation, 12, 217gas pressure-time, 20MatLab code, 219radius-time, 13, 17, 19, 149temperature-time, 20, 32, 149velocity-time, 13

SDS, 108platinum-ruthenium, 99platinum, 84ruthenium, 88

Sonochemical Reductionalcohol, 99, 106alcohol, 32frequency, 88gas atmosphere, 32

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INDEX

gold, 37hybrid method, 131iron, 45mechanism, 31palladium, 41pathway, 35platinum, 39, 84platinum-ruthenium, 99, 99, 103, 128rutheium, 96ruthenium, 88

reduction potential, 92sequential reduction, 103, 129silver, 43simultaneous reduction, 99surfactant, 32synthesis of bimetallic nanoparticles, 45, 68synthesis of metallic nanoparticles, 46

SonolysisTiO2, 153environmental remediation, 54methyl orange, 149, 162, 166optimization, 149pathway, 54pH, 153setup, 77ultrasonic frequency, 151ultrasonic power, 149

Sonophotocatalysis, 63p-aminobenzoic acid, 196p-chlorobenzoic acid, 184p-hydroxybenzoic acid, 205TiO2, 160aromatic compounds, 65azo dye, 65environmental remediation, 53kinetics, 187, 190, 196, 202, 204, 205methyl orange, 153, 162, 166optimization, 154orthogonal array design, 144pathway, 168pH, 158product degradation, 171, 189, 191, 201, 202, 209product selection, 197setup, 77synergism, 161, 189, 193, 194, 206ultrasonic frequency, 157ultrasonic power, 155ultrasound, 64

Soundfrequency, 9period, 9speed, 9wavelength, 9

Standing Wave, 9

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INDEX

antinode, 9node, 9

TEMcore-shell, 106gold, 39palladium, 42platinum, 84, 85platinum-ruthenium, 101, 106, 109ruthenium, 90, 93, 96silver, 43transmission electron microscope, 71

Total Organic Carbon, 81methyl orange, 164

Ultrasound, 9applications, 2, 28, 30

environmental remediation, 30polymerization, 30synthesis of inorganic material, 29synthesis of inorganic nanoparticles, 31synthesis of metal nanoparticles, 35synthesis of organic material, 30ultrasonic cleaning, 28ultrasonic dispersion, 29ultrasonic extraction, 29ultrasonic nebulization, 28ultrasonic ultrafiltration, 29

chemical effects, 26microjet, 25microstreaming, 25physical effects, 23sonoluminescence, 23, 78, 158ultrasound, 1

UV-vis Spectrap-aminobenzoic acid, 175p-chlorobenzoic acid, 175, 178p-hydroxybenzoic acid, 175gold, 38methyl orange, 143, 162, 166platinum, 84platinum-ruthenium, 99, 103ruthenium, 88sequential Reduction, 103simultaneous reduction, 99, 101UV-vis spectrophotometry, 71, 78

XPSplatinum-ruthenium, 103ruthenium, 90, 93, 96X-ray photoelectron spectroscopy, 71

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