1 Supporting Information Air Flow-Driven Triboelectric Nanogenerators for Self-Powered Real-Time Respiratory Monitoring Meng Wang, a Jiahao Zhang, a Yingjie Tang, a Jun Li, b Baosen Zhang, a Erjun Liang, a Yanchao Mao, a,* Xudong Wang b,* a MOE Key Laboratory of Materials Physics, School of Physics and Engineering, Zhengzhou University, Zhengzhou 450001, China * E-mail: [email protected]b Department of Materials Science and Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA * Email: [email protected]Figure S1 (a) The output voltage and current versus different load resistances under the air flow rate of 120 L/min (wind speed: 10 m/s). (b) The corresponding output power versus different load resistances. Figure S1a shows the resistance-dependent output voltage and current when the load resistance was varied from 47 KΩ to 300 MΩ under the air flow rate of 120 L/min. When the load resistance was below 100 KΩ, the output voltage of the TENG remained nearly 0 and the output current was about 5.8 μA. When the resistance increased from 100 KΩ to 300 MΩ, the 10 4 10 5 10 6 10 7 10 8 10 9 0 100 200 300 400 500 600 Voltage 1 2 3 4 5 6 Current Voltage (V) Current (μA) Power (mW) Resistance (Ω) Resistance (Ω) a b 10 4 10 5 10 6 10 7 10 8 10 9 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 Power
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1
Supporting Information
Air Flow-Driven Triboelectric Nanogenerators for Self-Powered Real-Time Respiratory
Monitoring
Meng Wang,a Jiahao Zhang,
a Yingjie Tang,
a Jun Li,
b Baosen Zhang,
a Erjun Liang,
a
Yanchao Mao,a,*
Xudong Wangb,*
aMOE Key Laboratory of Materials Physics, School of Physics and Engineering, Zhengzhou
University, Zhengzhou 450001, China
* E-mail: [email protected] bDepartment of Materials Science and Engineering, University of Wisconsin-Madison, Madison,