Compartmentalized multi-enzyme immobilization in hierarchical shell-shell structure for glucose detection

Recent years, incorporation of multiple enzymes into matrix is considered as promising candidates for constructing highly sensitive glucose-responsive systems. However, the stochastic nature of traditional multi-enzyme immobilization techniques makes it challenging to precisely control the spatial arrangement of enzyme molecules. Here, a new hierarchical shell-shell (HSS) multi-enzyme structure was constructed using interfacial growth method and colloidal hydrated zinc sulphate to be used as a soft template (Cyt C@HSS@GOx). In this process, glutathione (GSH) hybrid ZIF-67 was used as the guest MOF and hollow ZIF-8 as the host MOF. The resultant Cyt C@HSS@GOx exhibited high activity by separating cytochrome C (Cyt C) and glucose oxidase (GOx) in two independent compartments. This method can accurately locate the spatial position of multiple enzymes, weaken enzyme-to-enzyme inhibition, and enhance the channeling effect of substrates, thus improving the catalytic performance of multiple enzymes. The resulting Cyt C@HSS@GOx showed 230% higher activity than free enzymes, and maintained good stability under extreme pH and temperature conditions. Furthermore, Cyt C@HSS@GOx demonstrated 71.25% retention of its initial activity following seven cycles, providing good reusability. Particularly, Cyt C@HSS@GOx has been demonstrated to possess a glucose detection limit as low as 0.38 μmol/L, with a reaction time of only three minutes. This strategy provides a rapid and accurate glucose detection method.

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Publication Details

Journal
Food Science and Human Wellness
Published
2025-12-01
DOI
https://doi.org/10.26599/fshw.2025.9250839
Primary Topic
Advanced Nanomaterials in Catalysis
Type
article
Field-Weighted Citation Impact
0.00

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Compartmentalized multi-enzyme immobilization in hierarchical shell-shell structure for glucose detection

Lingyan Zhao, Jiandong Cui, Minsong Zhang, Shao Yang et al.
Food Science and Human Wellness
Advanced Nanomaterials in Catalysis
article

Compartmentalized multi-enzyme immobilization in hierarchical shell-shell structure for glucose detection

Lingyan Zhao, Jiandong Cui, Minsong Zhang, Shao Yang, Hongwu Wang, Zichen Wang, Y.J Bi, Tongyue Zhu
article en

Abstract

Recent years, incorporation of multiple enzymes into matrix is considered as promising candidates for constructing highly sensitive glucose-responsive systems. However, the stochastic nature of traditional multi-enzyme immobilization techniques makes it challenging to precisely control the spatial arrangement of enzyme molecules. Here, a new hierarchical shell-shell (HSS) multi-enzyme structure was constructed using interfacial growth method and colloidal hydrated zinc sulphate to be used as a soft template (Cyt C@HSS@GOx). In this process, glutathione (GSH) hybrid ZIF-67 was used as the guest MOF and hollow ZIF-8 as the host MOF. The resultant Cyt C@HSS@GOx exhibited high activity by separating cytochrome C (Cyt C) and glucose oxidase (GOx) in two independent compartments. This method can accurately locate the spatial position of multiple enzymes, weaken enzyme-to-enzyme inhibition, and enhance the channeling effect of substrates, thus improving the catalytic performance of multiple enzymes. The resulting Cyt C@HSS@GOx showed 230% higher activity than free enzymes, and maintained good stability under extreme pH and temperature conditions. Furthermore, Cyt C@HSS@GOx demonstrated 71.25% retention of its initial activity following seven cycles, providing good reusability. Particularly, Cyt C@HSS@GOx has been demonstrated to possess a glucose detection limit as low as 0.38 μmol/L, with a reaction time of only three minutes. This strategy provides a rapid and accurate glucose detection method.

Food Science and Human Wellness
Natural Science Foundation of Tianjin City, Guangxi Key Research and Development Program
Openalex Percentile: Top 69%
Advanced Nanomaterials in Catalysis
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Compartmentalized multi-enzyme immobilization in hierarchical shell-shell structure for glucose detection — Lingyan Zhao, Jiandong Cui, et al. · Food Science and Human Wellness (2025) | TGRS Research Map | TGRS