A Glucose Oxidase-Nanozyme Cascade System with Adjustable Interenzyme Spacing for Glucose Analysis

Here, glucose oxidase (GOD) is connected to Fe<sub>3</sub>O<sub>4</sub> nanozyme by using epoxy cross-linkers as a spacer arm to construct a GOD-nanozyme artificial enzyme cascade system that is easy to separate magnetically. The dual-enzyme system can regulate the distance between GOD and nanozyme by changing the chain length of the cross-linker. The optimal interenzyme spacing of 2 nm has led to a significant increase in the cascade activity of the dual-enzyme system to 1400 U/mg, which is 2.5 times higher than the cascade activity of the free two enzymes. The GOD-nanozyme cascade system is applied to glucose assay, which has high sensitivity and selectivity for glucose with the lowest detection limit of 0.1 mM. Even in a system where the concentration of interfering substances is 10 times higher than that of glucose, the GOD-nanozyme cascade system can still specifically recognize glucose. The dual-enzyme system is used to establish a visual analysis device for glucose detection. The design of this visual analysis device provides a new strategy for the visual detection of glucose, which is of great significance for promoting the development of bioenzyme-nanozyme cascade systems in bioanalysis.

Authors

Institutions

Publication Details

Journal
Journal of Agricultural and Food Chemistry
Published
2025-09-01
DOI
https://doi.org/10.1021/acs.jafc.5c07061
Primary Topic
Advanced Nanomaterials in Catalysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Glucose Oxidase-Nanozyme Cascade System with Adjustable Interenzyme Spacing for Glucose Analysis

Dong‐Hao Zhang, Wenjing Sun, Michael Chang, Gao‐Ying Zhi et al.
Journal of Agricultural and Food Chemistry
Advanced Nanomaterials in Catalysis
article

A Glucose Oxidase-Nanozyme Cascade System with Adjustable Interenzyme Spacing for Glucose Analysis

Dong‐Hao Zhang, Wenjing Sun, Michael Chang, Gao‐Ying Zhi, Liu Zhang, Jie Yu, Xiaoyu Han
article en

Abstract

Here, glucose oxidase (GOD) is connected to Fe<sub>3</sub>O<sub>4</sub> nanozyme by using epoxy cross-linkers as a spacer arm to construct a GOD-nanozyme artificial enzyme cascade system that is easy to separate magnetically. The dual-enzyme system can regulate the distance between GOD and nanozyme by changing the chain length of the cross-linker. The optimal interenzyme spacing of 2 nm has led to a significant increase in the cascade activity of the dual-enzyme system to 1400 U/mg, which is 2.5 times higher than the cascade activity of the free two enzymes. The GOD-nanozyme cascade system is applied to glucose assay, which has high sensitivity and selectivity for glucose with the lowest detection limit of 0.1 mM. Even in a system where the concentration of interfering substances is 10 times higher than that of glucose, the GOD-nanozyme cascade system can still specifically recognize glucose. The dual-enzyme system is used to establish a visual analysis device for glucose detection. The design of this visual analysis device provides a new strategy for the visual detection of glucose, which is of great significance for promoting the development of bioenzyme-nanozyme cascade systems in bioanalysis.

Journal of Agricultural and Food ChemistryVol. 73(36)
University Teaching Hospital (ZM), International Teaching University of Georgia (GE), Hebei Chemical and Pharmaceutical College (CN), Pharmaceutical Biotechnology (Czechia) (CZ), Hebei University (CN)
Openalex Percentile: Top 83%
Advanced Nanomaterials in Catalysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.