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Contents lists available at ScienceDirect
Microchemical Journal
journal homepage: www.elsevier.com/locate/microc
Fully optimized new sensitive electrochemical sensing platform
for theselective determination of antiepileptic drug ezogabine
Mona A. Mohameda,b,⁎, Ahmed S. Fayedc, Maha A. Hegazyc, Nahla N.
Salamaa, Enas E. Abbasa
a Pharmaceutical Chemistry Department, National Organization for
Drug Control and Research, Pyramids Ave., P.O. Box 29, Giza, Egyptb
Institute of Electronics, Microelectronics and Nanotechnology
(IEMN, UMR CNRS 8520), Université Lille 1, Cité Scientifique Avenue
Poincaré−BP60069, 59652Villeneuve d'Ascq, Francec Cairo University,
Faculty of Pharmacy, Analytical Chemistry Department, Kasr Elaini
St., P.O. Box 11562, Cairo, Egypt
A R T I C L E I N F O
Keywords:EzogabineGraphene oxideIonic liquidModified
sensorsFactorial designResponse surface
A B S T R A C T
The electrochemical oxidation of Ezogabine (EZG) based on
Graphene Oxide Nanosheets (GO) and Ionic Liquids(IL)-modified
carbon paste electrodes (CPE) has been studied using different
techniques. GO and IL have asynergetic effect giving rise to highly
improved electrochemical responses and provide an advantageous
platformfor the basis of an electrochemical sensor with excellent
performance. Screening for the best experimentalconditions was
performed by fractional factorial design, while optimization
studies were performed with the aidof central composite design. The
optimum conditions were located by the use of Derringer's
desirability function.The sensing of EZG via square wave
voltammetry (SWV) is found to exhibit two wide linear dynamic
ranges of9.89×10−7–1.92× 10−5 M and 1.92× 10−5–2.0×10−4 M at pH
2.0. The limits of detection and quantifi-cation were calculated to
be 9.86× 10−8 and 3.28× 10−7 M, respectively. The suggested sensor
has been usedsuccessfully for EZG determination in human plasma as
real samples. Satisfactory recoveries of analyte fromthese samples
are demonstrated indicating that the suggested sensor is highly
suitable for clinical analysis,quality control and a routine
determination of EZG.
1. Introduction
Ezogabine (EZG), ethyl
N‑[2‑amino‑4‑[(4‑fluorophenyl)methyla-mino]phenyl]carbamate, was
recently approved by the US Food andDrug and the European Medicines
Agency for adjunctive treatment ofpartial-onset seizures in adults
[1]. It appears to work by a uniquemechanism of action compared
with other currently available anti-epileptic drugs (AEDs) [2].
Considering the importance of EZG as im-portant drug on the human
health and its complementary mechanism ofaction, it is important to
develop a simple, fast, sensitive, and accurateelectrochemical
method for determination of this drug.
EZG has been quantified using several analytical including
spec-trophotometry [3,4], fluorimetry [3] and RP-HPLC methods
[4–12].The requirement of clinical and pharmacokinetic studies
encourages thedevelopment of simple, inexpensive and sensitive
analytical methodsfor the determination of pharmaceuticals in its
different presentationforms.
Electrochemical techniques own several advantages and are
there-fore attractive choices for pharmaceutical analysis.
Electrochemicalmethods of analysis have shown to be accurate,
sensitive and cost-
effective, which in turns can be used in clinical analysis,
quality controland the routine determination of drugs in
pharmaceutical formulationsas an alternative to tedious
chromatographic techniques [13–16]. Thedirect electrochemical
oxidation of pharmaceutical compounds at bareelectrode occurs at
high overpotentials. A decrease in the overpotentialalong with
increase in the analytical signal/current can be achievedwith
chemically modified electrodes [17,18]. Hence, we aim to developa
modified electrochemical sensing platform for sensitive
determinationof EZG utilizing the benefits of GO along with IL.
In attempts to further enhance the electro-analytical
determinationof the EZG, modification of the electrochemical
platform with nano-materials has a potential [19]. Graphene-based
materials are anotherclass of modifiers that promote effective
electronic transfer. They areextensively used in electroanalytical
chemistry due to their intrinsicfavorable properties, such as high
electrical conductivity, large specificsurface area and good
biocompatibility [20]. An important derivative ofgraphene is
graphene oxide (GO) which has a similarly good perfor-mance to
graphene owing to its high adsorption capacity, large surfacearea
and good biocompatibility. In particular, GO contains a largenumber
of hydrophilic functional groups, such as eOH, eCOOH and
https://doi.org/10.1016/j.microc.2018.08.062Received 21 May
2018; Received in revised form 29 August 2018; Accepted 29 August
2018
⁎ Corresponding author at: Pharmaceutical Chemistry Department,
National Organization for Drug Control and Research, Pyramids Ave.,
P.O. Box 29, Giza, Egypt.E-mail address: [email protected]
(M.A. Mohamed).
Microchemical Journal 144 (2019) 130–138
Available online 30 August 20180026-265X/ © 2018 Published by
Elsevier B.V.
T
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epoxides on the basal plane and the sheet edge [21,22],
resulting ingood hydrophilicity that makes it easily dispersed in
solvents with long-term stability. Based on these advantages,
GO-based electrochemicalsensors have been developed for the
sensitive determination of variousbiological molecules [23].
Room temperature ionic liquids (IL) display various unique
prop-erties and great application potential in several areas, so
they haveconcerned many researchers' interest due to their
excellent propertieslike high ionic conductivity, tunable
viscosity, and wide electro-chemical windows [24]. The combination
of GO-IL has particular ad-vantages, like strong electrical
conductivity, a large specific surfacearea, good dispersibility,
and stability [25]. So, combined the ad-vantage of ionic liquid and
GO nanosheets can be improve the electricalconductivity of
unmodified electrodes for trace analysis of
electroactivepharmaceutical compounds such as EZG [13,20].
Furthermore, gra-phene-IL based electrochemical sensors and
biosensors have also beenwidely reported in literature for direct
electron transfer of various redoxenzymes and the detection of
various types of compounds, such asdopamine [25,26], H2O2 detection
[27], theophylline [28], glucose[29], and mercury [30,31].
To our best knowledge, no electrochemical method was reported
forthe determination of EZG. So our study aims to determine EZG
usingsimple, accurate, precise and sensitive voltammetric method
via themodification of the electrochemical sensor with GO
nano-sheets and ILnamely 1‑n‑hexyl‑3‑methylimidazolium
hexafluorophosphate. Themorphological and electrochemical
characterization of the electrodematerial has been carried out by
using various techniques, such asscanning electron microscopy
(SEM), CV, electrochemical impedancespectroscopy (EIS) and
chronoamperometry (CA). The developed vol-tammetric method based on
nanocomposite shows good sensitivity andselectivity for
determination of EZG in pharmaceutical formulation andplasma.
2. Experimental
2.1. Instrumentation
The Bio-logic SP 150 electrochemical workstation was used
foranalyzing the electrochemical properties of the samples. A one
com-partment cell with a three electrode set-up was connected to
the elec-trochemical workstation through a C3-stand from BAS (USA).
A pla-tinum wire from BAS (USA) was employed as the auxiliary
electrode.All the cell potentials were measured with respect to an
Ag/AgCl (3.0 MNaCl) reference electrode from BAS (USA). A Cyberscan
500 digital(EUTECH Instruments, USA) pH-meter with a glass
combination elec-trode served to carry out pH measurements. All the
electrochemicalexperiments were performed at an ambient temperature
of 25 °C.Impedance spectra were recorded over a frequency range
from100mHz to 100 kHz. Scanning electron microscopy (SEM)
measure-ments were carried out using a JSM-6700F scanning electron
micro-scope (Japan Electro Company). Fourier Transform infrared
(FT-IR)spectra were recorded on an IR-Affinity-1 Fourier Transform
InfraredSpectrophotometer (Shimadzu, Japan).The crystalline phases
were de-tected and identified using an X-ray diffractometer (XRD)
on an X'PertPRO MRD with a copper source at a scan rate (2θ) of 1
°s−1. Sigma Plot10.0 was used for all statistical data.
Energy-dispersive X-ray spectro-scopy (EDX) measurements were
carried out using a Zeiss Ultra 60 fieldemission scanning electron
microscope. Multivariate screening, opti-mization and statistical
interpretation were carried out using Design-Expert ® software
version 10, Stat-Ease Inc., Minneapolis, USA.
2.2. Pure and synthetic ally prepared samples
Ezogabine was kindly supplied by MEDIZEN Pharmaceuticals (B.
N.OP-EZ/04/15/001). Its purity was found to be 99.46 ± 1.38%
ac-cording to manufacturer HPLC method. The tablets were
synthetically
prepared by mixing 500mg ezogabine, with different
excipients;2380mg avicel, 60mg explotab, 30mg magnesium stearate
and 30mgaerosol and compressed.
2.3. Chemicals and reagents
Potassium permanganate, hydrogen peroxide solution, sodium
ni-trate and graphite powder (particle size< 50 μm) were
obtained fromAldrich. Paraffin oil (Merck Co. Germany) was used as
the pasting li-quid for the preparation of the paste electrodes.
1‑n‑hex-yl‑3‑methylimidazolium hexafluorophosphate was supplied by
AlfaAesar (Karlsruhe, Germany).
Fresh human plasma was obtained from the blood bank
(VACSERA,Cairo, Egypt).
Britton-Robinson buffer (B-R buffer) was prepared by mixing
dif-ferent volumes of 0.04M H3PO4, 0.04M acetic acid and 0.04M
boricacid with the appropriate amount of 0.2 M NaOH to obtain the
desiredpH 2.0–10.0. Phosphate buffer (sodium dihydrogen phosphate
anddisodium monohydrogen phosphate plus sodium hydroxide,
0.1M)solutions (PBS) with different pH values were used. All
solutions wereprepared from analytical grade chemicals and
sterilized Milli-Q deio-nized water was used.
2.4. Standard and working solutions
A stock solution of EZG (1.0× 10−2 M) was prepared daily
bydissolving 303.3 mg in methanol HPLC-grade in a 100-mL
volumetricflask. Working solutions were prepared by appropriate
dilution of stockstandard solutions with methanol to obtain a
solution in the con-centration range of 1.0× 10−3 to 1.0× 10−5 M.
These solutions werestable for about one week at 4 °C.
2.5. Preparation of different unmodified and modified
electrodes
Unmodified carbon paste electrode (CPE) was fabricated by
mixinggraphite powder (0.5 g) with paraffin oil (0.3 mL) in a
pestle andmortar. The carbon paste was packed into the hole of an
electrode bodyand scraping off the excess against a conventional
paper and polishingthe electrode on a smooth paper to obtain a
shiny appearance.Graphene oxide (GO) was prepared by the Hummer's
method [32]. Themodified sensor was prepared using a mixture of
(970.0, 980.0, and960.0 mg) graphite powder, (10.0, 10.0, and 30.0
mg) of GO and (20.0,10.0, and 10.0 mg) of ionic liquid
(1‑n‑hexyl‑3‑methylimidazoliumhexafluorophosphate). The mixture was
carefully homogenized for45min using a mortar and pestle.
Afterwards, 0.3 mL of paraffin oil wasadded to obtain a paste. This
paste was packed into the hole of theelectrode body and smoothed on
a filter paper until shiny appearance.A new surface was obtained by
pushing excess of the paste out of thesyringe and polished with
weighing paper. The obtained modifiedelectrode was named as
GO-IL/CPE. Other modified CPE were preparedfor the comparative
studies. Accordingly, an IL/CPE or GO/CPE weremade using 10.0 mg of
the ionic liquid or GO, respectively, and990.0 mg of graphite and a
bare CPE was made using 1000.0 mg ofgraphite. The same amount of
paraffin oil was used for the preparationof the partially modified
CPEs.
2.6. Experimental design
Two levels randomized experimental design was applied as
ascreening step, it includes four factors; buffer type (Britton
Robinsonand Phosphate buffers), pulse width, scan rate and
composite content.Then, a central composite- response surface
design (CCD-RS) was usedto examine the influence of these four
factors on the current. Thescreening was performed in order to
select the range for each factor.The selected ranges of the
variables were; pH (A) 2.0–4.0, scan ratemVs−1 (B) 10–30 and three
different preparations of modified sensors
M.A. Mohamed et al. Microchemical Journal 144 (2019) 130–138
131
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(C) coded 1, 2 and 3. A total of 20 experiments including six
centralpoints were conducted in a randomized order.
2.7. Recommended experimental procedure
Before any voltammetric measurements were made, the
modifiedelectrode GO-IL/CPE was cycled between −250.0 and 850.0 mV
with ascan rate of 100mV s−1 in 4.0×10−2 M B-R buffer solution of
pH 2.0several times until a reproducible response was achieved.
Followingthis, the modified GO-IL/CPE electrode was transferred
into anothercell containing 4.0× 10−2 M B-R buffer of pH 2.0 and
the properamount of EZG. Cyclic voltammograms (CV) were recorded
between−250.0 and 850.0 mV with a scan rate of 100mV s−1.
2.8. Recommended procedure for the calibration curve
Aliquots equivalent to, 9.89×10−7–2.00× 10−4 M of EZG
weretransferred separately into a series of 5-mL volumetric flasks
usingmicropipette and the volume was completed to the mark with
B-Rbuffer pH 2.0. The solution was transferred to the electrolytic
cell thensquare wave voltammogram (SWV) was recorded. In this
study, a scanrate of 20mVs−1 was chosen because at this value the
sensitivity wasrelatively high and the voltammetric curves are
well-shaped with arelatively narrow peak width. To obtain
relatively high and narrowpeaks, the values of 40mV, 30ms and 20mV
s−1 were finally chosenfor pulse amplitude, pulse width and scan
rate, respectively.Determination of EZG by SWV analytical procedure
was validated ac-cording to the International Conference on
Harmonization (ICH)guidelines [33].
2.9. Analysis of real samples
Aliquots equivalent to 1.50×10−7, 35.00×10−6, 6.25×10−5,and
1.00×10−4 M of EZG were transferred separately into a series of5-mL
volumetric flasks spiked with 20 μL of fresh plasma samples
usingmicro pipette and the volume was completed to the mark with
B-Rbuffer pH 2.0. The solution was transferred into the
electrochemical cellto be analyzed without any further
pretreatment.
2.10. Application to the pharmaceutical formulation
Ten synthetically prepared tablets (50mg EZG/tablet) wereweighed
and ground. Accurately weighed amount about 303.3mg wasdissolved in
50mL methanol HPLC-grade in 100-mL volumetric flasksand sonicated
for 15min. Then the volume was completed with thesame solvent. The
solution was then filtered through 0.45 μm filterpaper. The
obtained solution was contained 1.0×10−2 M EZO. Theprocedure
described under “Recommended procedure for calibrationcurve” was
then followed.
3. Results and discussion
3.1. Surface characterization and electrochemical
characterization of thefabricated sensors
Fig. 1 displays typical SEM images of the fabricated electrodes.
Thesurface of the CPE is dominated with uniform and smooth
shapedgraphite flakes and separated layers (Fig. 1A). Fig. 1B shows
the for-mation of fairly homogeneous GO structures with an average
length of400 nm. The crystal structure of the synthesized materials
was in-vestigated by XRD. The XRD pattern of GO showed a typical
(002) GOpeak at 2θ=10°, Fig. 1D. On the other hand, graphite flakes
exhibit astrong and sharp peak at 26.26°, indicating highly ordered
structure[20,34]. The FT-IR spectrum of the GO confirms the
successful oxida-tion of graphite, Fig. 1E.
Also, the broad and wide peaks appeared at 3439 which is
referred
to eOH group and 1719 cm−1 is attributed to the carboxyl group
[35],confirming the presence of different types of oxygen
functionalities inGO [13,36]. While the absorption band at 1560
cm−1 can be ascribed tobenzene rings [37], the sharp intense peak
at 1419 cm−1 can be at-tributed to CO-carboxylic [22].
By comparing the energy-dispersive X-ray (EDX) spectra of
un-modified graphite CPE, and GO, it is obvious that the existence
of smallpeak density for oxygen in case of bare graphite CPE. On
the other handin case of GO, the oxygen peak rises to about 65%,
indicating completeoxidation of graphite into GO, Fig. 1E and
F.
The electroactive area of the electrode was obtained by the
cyclicvoltammetric method using 5.0 mM K3Fe(CN)6 in 0.1 M KCl at
differentscan rates, using the Randles-Ševčík [38]. The calculated
areas were0.055, 0.077, 0.109 and 0.145 cm2 for CPE, GO/CPE,
IL/CPE, and GO-IL/CPE, respectively.
In order to elucidate the electrochemical characterization of
GO-IL/CPE, its CVs were compared with CPE, GO/CPE, and IL/CPE CVs
in asolution containing 5.0 mM [Fe(CN)6]3−/4− as the
electrochemicalprobe, Fig. 2A. The redox peaks for GO-IL/CPE were
2.7 and 1.7, and1.3 times higher than those of CPE, GO/CPE, and
IL/CPE, respectively.This could be attributed to the more catalytic
activity of GO and ILwhen they were together.
Electrochemical impedance spectroscopy (EIS) was used to obtain
aconvenient determination of both mass-transport and kinetic
para-meters as well as the charge transfer coefficient. Fig. 2B
depicts the EISresponse for CPE, GO/CPE, IL/CPE and GO-IL/CPE. EIS
measurementswere performed in 5.0 mM K3Fe(CN)6 (1:1) solution in
0.1M KCl.
As can be seen, a semi-circle was verified at the region of
highfrequencies and, as is commonly known, the diameter of this
semi-circleis equivalent to the charge transfer resistance across
the electrode in-terface. Thus, as a preliminary qualitative
analysis of the Nyquist plots,the decrease of the semi-circle
diameter for the modified CPEs with GO,IL or GO-IL is observed,
indicating an improvement of the charge-transfer in these
electrodes compared to the unmodified CPE.
The simulated circuit model (inset of Fig. 2B) was selected to
fit theacquired impedance data for the electron transfer process
(modelled asa resistance to charge transfer, RCT) and the diffusion
process (modelledas the Warburg-type impedance, W). The RCT and W
were both inparallel with the interfacial capacitance (C). By
fitting the data, RCT wasestimated to be 5549.12Ω at the bare CPE,
while it decreased to1988.95 and 480.05Ω for GO/CPE and IL/CPE,
respectively, and thendecreased to 148.60Ω for GO-IL/CPE,
indicating the significantly lowerelectron-transfer resistance of
GO-IL/CPE compared with other elec-trodes. The results are
consistent with the CV results, demonstratingthat the GO-IL/CPE
composite might provide higher electron conduc-tion pathways due to
the synergistic effects of its constituents.
Fig. 2C shows typical cyclic voltammograms of the bare CPE,
GO/CPE, IL/CPE and GO-IL/CPE towards the electrochemical sensing
ofEZG. In the absence of EZG, no measurable anodic or cathodic
peakcurrent was observed indicating that the GO-IL/CPE sensor has
noelectro-activity in the selected potential range. Regarding the
CV, thegood peaks with maximum current were observed at GO-IL/CPE,
whichimplies that the reaction is more facile at the modified
electrode.
In the case of the bare/unmodified CPE, the anodic peak
current,which corresponds to the electrochemical oxidation of EZG,
was30.25 μA at 530.0 mV. As depicted in Fig. 2C, the magnitude of
thevoltammetric response of the sensor increases due to the
presence of GOwhere the anodic peak appears at 491mV with a current
value of 38 μA.Thus, GO potentially acts as a promoter/mediator to
increase the rate ofelectron transfer due to its catalytic
capability. The voltammetric signalis further enhanced through the
incorporation of IL, as is evident fromFig. 2C, as the anodic peak
current increased to a value of 65.5 μA at472.0 mV. The above
results indicate that GO-IL/CPE had better elec-trochemical
activity.
The effect of solution pH on the electrochemical oxidation of
EZGwas next explored using cyclic voltammetry in the range of
2.0–9.0.
M.A. Mohamed et al. Microchemical Journal 144 (2019) 130–138
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Fig. 3 shows the peak potentials were shifted towards less
positivepotentials with an increase in pH from 2.0 to 9.0 which is
attributed tothe protonation–deprotonation properties of EZG [39].
As can be de-picted from Fig. 3, the peak current was decreased
rapidly with the riseof pH. Which substantiate the choice of pH 2.0
during multivariateexperimental optimization discussed above.
Analysis of the voltammetric responses in terms of the anodic
peakpotential, Ep, shows a linear relationship with the pH of the
buffer so-lution according to the following equation:
= − =E (V) 0.545 0.0294 pH; R 0.9988.p 2
As the pH is shifted towards more alkaline conditions, the
cyclic
voltammetric profiles change distinctly. Returning to Fig. 3,
the line ofbest fit (53.4 mV per pH unit at 25 °C) obeys the Nernst
equation in-dicating that the electrochemical process involves one
electron and oneproton transfer action. The slope, 29.4mV pH−1,
which is close to theNernstian value of −29.5mV for a two-electron,
one-proton process.
The suggested schematic representation for the oxidation of EZG
atGO-IL/CPE is shown in Scheme S1.
Next, the effect of scan rate on EZG oxidation and redox
peakscurrent were investigated using cyclic voltammetry to
understand themechanism of the electrode reaction. The influence of
scan rate (v) onthe electrochemical response using GO-IL/CPE
sensing platforms re-corded in 1.0 mM EZG was studied, and the
results are shown in Fig. S1.
Fig. 1. SEM images of (A) CPE, (B) GO, (C) XRD of graphite and
GO, and (D) IR spectra of GO, (E) EDX of graphite, and (F) EDX of
GO.
M.A. Mohamed et al. Microchemical Journal 144 (2019) 130–138
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As shown in Fig. S1A, both the oxidation and reduction
currentsincreased gradually with the increase of the scan rate. The
redox peakcurrents showed a linear relationship with the scan rate
(Fig. S1B),demonstrating an adsorption-controlled process. The two
linear re-gression equations were calculated as: Ipa=
0.61v+9.00(R2=0.9945) and Ipc=−0.17v− 6.88 (R2=0.9991).
Also, plots of logarithm of peak current versus the logarithm of
scanrate were constructed; giving straight lines with slopes of
0.77 and 0.60for anodic and cathodic currents, respectively (Fig.
S1C). The values ofthe slopes are near to the theoretical value of
1.0 [40], which is ex-pected for an adsorption-controlled redox
system, confirming theabove-mentioned result. Furthermore, with the
increase of the scanrate, the oxidation peak potential (Epa)
shifted towards the positivedirection, meanwhile, the reduction
peak potential (Epc) moved nega-tively. Accordingly, the
peak-to-peak separation (ΔEp) slightly in-creased. This result
reveals that the electrochemical process is quasi-reversible
[41].
Furthermore, the chronoamperometric measurements of EZG
wereperformed at a constant applied direct current (DC) potential
at GO-IL/CPE in pH 2.0 buffer solution with the current–time
profiles obtained bysetting the working electrode potential at
+500mV vs. Ag/AgCl forvarious concentrations of EZG, Fig. S2. The
inset S2A shows the plots ofcurrents, sampled at fixed time as a
function of EZG concentration,added to the blank solution at
different times after the application ofthe potential step. For an
electroactive material with the diffusioncoefficient (D), the
current corresponding to the electrochemical reac-tion (under
diffusion control) is described by Cottrell's law [40]:
⎜ ⎟= ∗⎛⎝
⎞⎠
I t nFAC Dt
( )π
The level of the Cottrell current, measured for 25 s, increased
byincreasing EZG concentration. The plot of I versus t−1/2, showed
astraight line (inset S2B) and from its slope, the value of D could
beobtained. The diffusion coefficient of EZG was calculated to
be1.29×10−6 cm2 s−1. Optimization of experiments is a valuable
pro-cedure to determine the effects of factors depending on
definite
responses [42]. So, central composite response surface design
was ap-plied (CCD-RS) for the optimization of the experimental
conditions forSWV. It constitutes an excellent approach due to
possibility of in-vestigating a high number of variables at
different levels with only alimited number of experiments. The
variables presented in Table 1 werechosen based on our screening
two-level factorial design. The response(current) values ranged
from 15 to 90. A design matrix was generatedbetween factors and
responses by response surface regression analysis.ANOVA was
generated for reduced surface designed models exhibitedthat
curvature is significant for the three factors studied. Since
valuesare< 0.05, the reduced quadratic model was advised. Model
termswith values> 0.05 were eliminated by backward elimination
toachieve more realistic models [43].
In the present study, the predicted and adjusted R values for
eachresponse were in a good agreement [44] which revealed that the
ex-perimental data is in good fit with the second order polynomial
equa-tions. All the reduced models value 4 is desirable) [45]
andtherefore indicates adequate model discrimination. The
coefficient ofvariation (% C.V.) was found to be
-
using GO-IL/CPE in B-R buffer pH 2.0 solution containing various
in-dividual concentrations of EZG. The calibration range was
establishedthrough consideration of the necessary practical range,
according to EZGconcentration present in the pharmaceutical
product, to give accurate,precise and linear results, Fig. 5. The
plot of the peak current vs. EZGconcentration showed two linear
segments with different slopes for theEZG concentrations: for
9.89×10−7–1.92×10−5M, the regressionequation was I(μA)=0.574C+4.00
(R2=0.9986), while for1.92×10−5–2.00×10−4M, the regression equation
was I(μA)=0.216C+11.09 (R2=0.9991). The decrease in
sensitivity(slope) of the second linear segment is likely due to
kinetic limitations[46].
Based on the first linear fitting equation of EZG, the limits of
de-tection and quantification were calculated to be 9.86×10−8
and3.28×10−7 M, respectively, Table 2.
Intra-day and inter-day (n= 5) relative standard deviations
ofsamples concentrations of EZG were calculated and listed in Table
S1.The stability of the modified electrode has been investigated
where the
peak current did not change upon storage in air for 10 days.
Themodified electrode retained 99.02% of its initial response up
to1month.
3.2. Analysis of EZG in real samples
The applicability of GO-IL/CPE to the determination of EZG
inhuman plasma was examined using SWV. Concentrations were
mea-sured by applying the calibration plot using the standard
additionmethod. The results are shown in Table S2. The recovery
values show agood accuracy of the suggested sensor. Referring to
the experimentalresults, it is very clear that this sensor has an
excessive potential for thedetermination of trace amounts of these
compounds in biological fluids.As well as, dosage forms (tablet,
containing 50mg EZG) were analyzedusing the same parameters of SWV
experiment. The recovery experi-ment was presented in Table S2,
which show that the GO-IL/CPE ishighly sensitive for detecting low
and higher concentrations of EZG inreal samples.
/µ
-60
-40
-20
0
20
40
60
-0.2 0.00.2 0.4
0.6 0.81.0 1.2
1.4
0
2
4
6
8
10
IA
E/V(vs Ag/AgCl)
pH
pH 2pH 3pH 4pH 5pH 6pH 7pH 8pH 9
pH
0 2 4 6 8 10
E/V
(vs
Ag/
AgC
l)
0.2
0.3
0.4
0.5
0.6Ep(V) = 0.545-0.0294 pH
(R2
= 0.9988)
Fig. 3. Cyclic voltammetric responses of 1.0 mM EZG at different
pH values using GO-IL/CPE sensing platforms. Scan rate: 100mV s−1.
The inset shows a plot of theanodic peak potential of EZG versus
pH.
M.A. Mohamed et al. Microchemical Journal 144 (2019) 130–138
135
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3.3. Interference studies
Many substances, which can possibly interfere with the
electro-analytical determination of EZG, were determined using the
re-commended conditions. Several main interferences were
selected,which may be found in the pharmaceutical preparations and
other
Table 1Central composite design consists of experiments for the
study of three ex-perimental factors with the results.
Std Run Factor 1 Factor 2 Factor 3 Response
A: pH B: scan rate C: modified sensors Current
14 1 3 20 3 3816 2 3 20 2 281 3 2 10 1 4911 4 3 10 2 175 5 2 10
3 558 6 4 30 3 196 7 4 10 3 154 8 4 30 1 3215 9 3 20 2 312 10 4 10
1 1918 11 3 20 2 307 12 2 30 3 5313 13 3 20 1 469 14 2 20 2 9017 15
3 20 2 2920 16 3 20 2 3010 17 4 20 2 183 18 2 30 1 8519 19 3 20 2
2912 20 3 30 2 53
Design-Expert® Software
1/Sqrt(current1)
Lambda
Current = -0.5
Best = -0.3
Low C.I. = -0.98
High C.I. = 0.35
Recommend transform:
Inverse Sqrt
(Lambda = -0.5)
Lambda
Ln(R
esid
ualS
S)
Box-Cox Plot for Power Transforms
6
7
8
9
10
11
-3 -2 -1 0 1 2 3
7.03418
Fig. 4. Box Cox plot for power transform of the response.
E/V(vs Ag/AgCl)
0.0 0.2 0.4 0.6 0.8 1.0 1.2Ip
/ A
0
20
40
60
[EZG]/ M
0 50 100 150 200 250
Ip/
A
0
10
20
30
40
50
60
70
Fig. 5. SWV of EZG at GO-IL/CPE in B–R buffer pH 2.0 at a scan
rate of 0.1 V s−1
solution containing different concentrations. Insets: the plot
of the peak currentas a function of EZG in concentration range
9.89×10−7–1.92×10−5M and1.92×10−5–2.00×10−4M.
M.A. Mohamed et al. Microchemical Journal 144 (2019) 130–138
136
-
interfering ions. By adding these materials to a fixed EZG
concentrationof 1.0× 10−5 M in a pH 2.0 B-R buffer, the current of
EZG was ex-amined. From the selected materials, there was no
interference ob-tained that could affect the electro-analytical
sensing of EZG and thetolerance limit was less than± 4% for the
selected interference sub-stance. The results showed that 100-fold
of sucrose, glucose, fructose,lactose, and citric acid, 200-fold of
potassium sorbate, stearic acid, talcpowder, magnesium stearate,
povidone, microcrystalline cellulose,starch, cellulose, colloidal
silicon dioxide, croscarmellose sodium,Cu2+, Mn+2, Zn+2, Mg+2,
Fe2+, Fe3+, Ca2+ and uric acid did notaffect the selectivity. Also,
the results depicted that 150-fold ofNO3−,SO42−, K+, Na+ and Cl−;
250-fold for some metals including:Cd2+, Co2+, Cr3+, Pb2+, Cu2+,
Ni2+, and Hg2+ did not interfere withEZG. Results obtained by the
proposed SWV method was statisticallycompared with those obtained
by applying the manufactureringmethod in both drug substance and
drug product, where no significantdifference was obtained regarding
both accuracy and precision,Table S3.
4. Conclusion
In this study, we have reported for the first time, the
electro-analytical sensing of EZG using GO and IL composite
modified elec-trode. The fabricated GO-IL/CPE associated to the
excellent electro-catalytic activity of the GO and IL showed high
selectivity andsensitivity for the determination of EZG with low
detection limits andwide concentration ranges. Electrochemical
sensing coupled with che-mometric tools can provide a complete
profile of a separation processand is considered highly powerful,
providing useful information offactors' interactions. The obtained
models demonstrate a significantinfluence of the studied factors.
Optimal conditions were obtained byapplying Derringer's
desirability function based on defining a globaldesirability
according to the specified constraints. In addition to thegood
properties of high sensitivity, accuracy, and reproducibility,
thiscould provide a simple and suitable method for the quantitative
de-termination of low level of EZG for clinical laboratories.
Acknowledgment
The authors acknowledge funding from The Science and
TechnologyDevelopment Fund (STDF), Institut Français d'Egypte (IFE)
(ID: 30636)and Dr. Nageh K. Allam (Director of the Energy Materials
Laboratory(EML), The American University in Cairo (AUC)) for the
support of thisresearch.
Appendix A. Supplementary data
Supplementary data to this article can be found online at
https://doi.org/10.1016/j.microc.2018.08.062.
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Table 2Analytical parameters for the determination of EZG in B-R
buffer pH 2.0 at GO-IL/CPE using proposed SWV method (n=3).
Analytical parameter SWV method
1st linear segment 2nd linear segment
Linear concentrationrange (M)
9.89× 10−7–1.92× 10−5 1.92× 10−5–2.00× 10−4
Intercept (μA) 4.00 11.09Slope (μA μM−1) 0.574 0.216Standard
deviation of
intercept (μA)0.07 0.06
Standard deviation ofslope (μA μM−1)
0.09 0.05
Coefficient ofdetermination(R2)
0.9986 0.9991
LOD (M) 9.86× 10−8 –LOQ (M) 3.28× 10−7 –
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Fully optimized new sensitive electrochemical sensing platform
for the selective determination of antiepileptic drug
ezogabineIntroductionExperimentalInstrumentationPure and synthetic
ally prepared samplesChemicals and reagentsStandard and working
solutionsPreparation of different unmodified and modified
electrodesExperimental designRecommended experimental
procedureRecommended procedure for the calibration curveAnalysis of
real samplesApplication to the pharmaceutical formulation
Results and discussionSurface characterization and
electrochemical characterization of the fabricated sensorsAnalysis
of EZG in real samplesInterference studies
ConclusionAcknowledgmentSupplementary dataReferences