Fabrication of a Sensitive and Stable NiO Uric Acid Biosensor Using Ag Nanowires and Reduced Graphene Oxide

Jung-Chuan Chou, Tsu-Yang Lai, Yu-Hsun Nien, Chih-Hsien Lai, Po-Yu Kuo, Si-Hong Lin, Yu-Hao Huang and Kun-Tse Lee
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Jung-Chuan Chou: Graduate School of Electronic Engineering, National Yunlin University of Science and Technology, Douliou 64002, Taiwan
Tsu-Yang Lai: Graduate School of Electronic Engineering, National Yunlin University of Science and Technology, Douliou 64002, Taiwan
Yu-Hsun Nien: Graduate School of Chemical and Materials Engineering, National Yunlin University of Science and Technology, Douliou 64002, Taiwan
Chih-Hsien Lai: Graduate School of Electronic Engineering, National Yunlin University of Science and Technology, Douliou 64002, Taiwan
Po-Yu Kuo: Graduate School of Electronic Engineering, National Yunlin University of Science and Technology, Douliou 64002, Taiwan
Si-Hong Lin: Graduate School of Electronic Engineering, National Yunlin University of Science and Technology, Douliou 64002, Taiwan
Yu-Hao Huang: Graduate School of Electronic Engineering, National Yunlin University of Science and Technology, Douliou 64002, Taiwan
Kun-Tse Lee: Graduate School of Electronic Engineering, National Yunlin University of Science and Technology, Douliou 64002, Taiwan

Energies, 2021, vol. 14, issue 15, 1-15

Abstract: How to detect uric acid is an important issue. For the purpose of preparing a potentiometric uric acid biosensor, this research used nickel oxide (NiO) as the sensing film to deposit it onto the substrate by radio frequency sputtering, then modified it with reduced graphene oxide (rGO) and silver (Ag) nanowires. Reduced graphene oxide (rGO) not only has excellent electrical conductivity, but also can make the surface of the film have a larger surface area, while AgNWs have also been proven to improve catalytic activity; hence, these two materials were chosen as sensor modifiers. Finally, the stability and the various characteristics of the uric acid biosensor were investigated using a voltage–time (V–T) system. The results showed that the AgNW–uricase/rGO/NiO uric acid biosensor has average sensitivity with 4.66 mV/(mg/L). In addition, the sensor has good stability.

Keywords: uric acid biosensor; nickel oxide (NiO); reduced graphene oxide (rGO); silver nanowires (AgNWs) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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