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Cobalt Single-Atom Oxidase Mimics for Glucose Oxidase-Free Cascade Colorimetric Detection of α-Glucosidase Activity

  • Chuanxia Chen 1,2,*,   
  • Taoming Xu 1,   
  • Xiaohui Gong 1,   
  • Zongyu Han 1,   
  • Yawen Liu 1,   
  • Feifan Zhang 1,   
  • Guoping Wang 2,*,   
  • Yizhong Lu 1,*

Received: 30 Jun 2026 | Revised: 08 Aug 2026 | Accepted: 21 Aug 2026 | Published: 25 Aug 2026

Abstract

The precise evaluation of α-glucosidase (α-Glu) activity is important for diabetes-related diagnosis and drug screening. However, conventional nanozyme-based α-Glu assays rely on multienzyme cascade systems involving glucose oxidase (GOx), which increase assay complexity and introduce instability associated with hydrogen peroxide (H2O2). Herein, a GOx-free cascade colorimetric platform based on an atomically dispersed cobalt nanozyme (Co-NC) was established for α-Glu activity detection and inhibitor evaluation. The Co-NC catalyst exhibited intrinsic oxidase-like activity and directly activated dissolved oxygen to trigger the oxidative coupling of hydroquinone (HQ) with 4-aminoantipyrine (4-AAP). By coupling the α-Glu-mediated hydrolysis of α-Arbutin with the Co-NC-mediated chromogenic reaction, the enzymatic event was converted into a measurable optical response at 507 nm without the involvement of GOx and the unstable intermediate H2O2. The biosensor achieved sensitive quantification of α-Glu with a limit of detection of 0.19 mU/mL and satisfactory performance in serum samples. In addition, the method was successfully applied to the evaluation of three commercial α-Glu inhibitors. The proposed Co-NC-based cascade strategy provides a practical and reliable tool for α-Glu monitoring and the proof-of-concept evaluation of representative α-Glu inhibitors.

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10.53941/echem.2026.100010
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Volume 2, Issue 2
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Chen, C.; Xu, T.; Gong, X.; Han, Z.; Liu, Y.; Zhang, F.; Wang, G.; Lu, Y. Cobalt Single-Atom Oxidase Mimics for Glucose Oxidase-Free Cascade Colorimetric Detection of α-Glucosidase Activity. eChem 2026, 2 (2), 10. https://doi.org/10.53941/echem.2026.100010.
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