Issue 34, 2024

Glucose oxidase, horseradish peroxidase and phenothiazine dyes-co-adsorbed carbon felt-based amperometric flow-biosensor for glucose

Abstract

To develop an amperometric flow-biosensor for glucose, the stabilizing effect of methylene blue (MB) toward adsorbed glucose oxidase (GOx) on carbon felt (CF) was successfully applied to prepare the GOx-modified CF-based enzyme reactor combined with a horseradish peroxidase (HRP)-modified CF-based H2O2 detector. Upon mixing MB in the GOx-adsorption solution, the O2-dependent GOx-activity was significantly increased with increasing concentration of MB in the GOx-adsorption solution. The GOx-immobilization protocol on CF is very straightforward [i.e., adsorption of the GOx/MB mixed aqueous solution for 5 min under ultrasound (US)-irradiation]. Under the optimized operational conditions (i.e., applied potential, 0 vs. Ag/AgCl; carrier pH, 5.0; carrier flow rate, 4.0 mL min−1), the resulting GOx/MB-CF-reactor and HRP/TN-CF-detector combined amperometric flow-biosensor exhibited sensitive, selective, reproducible and stable cathodic peak current responses to glucose with the following analytical performances: sensitivity, 6.22 μA mM−1; linear range, 0.01 to 1 mM; limit of detection, 9.6 μM (S/N = 3, noise level, 20 nA); sample throughput, 46–96 samples per h for 10–0.1 mM glucose. The developed amperometric flow-biosensor allowed the determination of glucose in beverages and liquors, and the analytical results by the sensor were in fairly good agreement with those by conventional spectrophotometry.

Graphical abstract: Glucose oxidase, horseradish peroxidase and phenothiazine dyes-co-adsorbed carbon felt-based amperometric flow-biosensor for glucose

Supplementary files

Article information

Article type
Paper
Submitted
02 Jun 2024
Accepted
30 Jul 2024
First published
19 Aug 2024

Anal. Methods, 2024,16, 5883-5895

Glucose oxidase, horseradish peroxidase and phenothiazine dyes-co-adsorbed carbon felt-based amperometric flow-biosensor for glucose

Z. Jiao, L. Kuang, M. Komori, M. Hirono, R. Komuro, Y. Wang and Y. Hasebe, Anal. Methods, 2024, 16, 5883 DOI: 10.1039/D4AY01028K

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