Bi 2 WO 6 /TiO 2 -based visible light-driven photoelectrochemical enzyme biosensor for glucose measurement

Nowadays, the frequent occurrence of food adulteration makes glucose detection particularly important in food safety and quality management. The quality and taste of honey are closely related to the glucose content. However, due to the drawbacks of expensive equipment, complex operating procedures,...

Full description

Saved in:
Bibliographic Details
Published inMikrochimica acta (1966) Vol. 191; no. 4; p. 201
Main Authors Wang, Xiaotian, Li, Dongliang, Wang, Weihua, Kozykan, Sabira, Liang, Zilong, Ma, Qiujie, Yu, Xiaoqin
Format Journal Article
LanguageEnglish
Published Austria 15.03.2024
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Nowadays, the frequent occurrence of food adulteration makes glucose detection particularly important in food safety and quality management. The quality and taste of honey are closely related to the glucose content. However, due to the drawbacks of expensive equipment, complex operating procedures, and time-consuming processes, the application scope of traditional glucose detection methods is limited. Hence, this study developed a photoelectric chemical (PEC) sensor, which is composed of a photoactive material of bismuth tungstate (Bi WO ) with titanium dioxide (TiO ) and glucose oxidase (GOD), for simple and rapid detection of glucose. Notably, the composites' absorption prominently increased in the visible light region, and the photo-generated electron-hole pairs were efficiently separated by virtue of the unique nanostructure system, thus playing a crucial role in facilitating PEC activity. In the presence of dissolved oxygen, the photocurrent intensity was enhanced by H O generated from glucose under electro-oxidation specifically catalyzed by GOD fixed on the modified electrode. When the working potential was 0.3 V, the changes of photocurrent response indicated that the PEC enzyme biosensor provides a low detection limit (3.8 µM), and a wide linear range (0.008-8 mM). This method has better selectivity in honey samples and broad application prospects in clinical diagnosis for future.
ISSN:1436-5073