Cascade Sensor Array Involving Nanozyme with Glycoside Hydrolase-like Activity for the Accurate Identification of Six Aminoglycosides

Developed sensor arrays commonly rely on directly sensing the effects of antibiotics on oxidoreductase-like activity, which has faced significant challenges in discriminating between structurally similar antibiotics. In this study, we constructed a hydrolysis-cascade sensor array in which hydrolase-like activity decoding was employed to amplify the chemical features input into the sensor array, thereby enabling more accurate identification of aminoglycosides. Specifically, two Ce-based nanozymes with glycoside hydrolase-like activity were synthesized to perform the pH-regulated hydrolytic decoding of aminoglycosides. Hydrolysis products subsequently modulated the laccase-like activity of an Arac-Cu nanozyme, producing distinct responses across the sensor array. The hydrolysis-cascade sensor array with machine learning assistance achieved the accurate identification of concentration-independent aminoglycosides, highlighting the great potential of the hydrolysis-cascade sensor array for analytical applications in complex environments. This work provides a new strategy for improving the accurate identification of aminoglycosides under complex environmental conditions.

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Publication Details

Journal
Analytical Chemistry
Published
2026-06-17
DOI
https://doi.org/10.1021/acs.analchem.6c01706
Primary Topic
Advanced Nanomaterials in Catalysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Cascade Sensor Array Involving Nanozyme with Glycoside Hydrolase-like Activity for the Accurate Identification of Six Aminoglycosides

Yuqing Cheng, Y M, Hui Huang, Yi Luo et al.
Analytical Chemistry
Advanced Nanomaterials in Catalysis
article

Cascade Sensor Array Involving Nanozyme with Glycoside Hydrolase-like Activity for the Accurate Identification of Six Aminoglycosides

Yuqing Cheng, Y M, Hui Huang, Yi Luo, Li J, Yongxin Li, Xi Zhang, Peize Jin, Kejia Zhou, Qing Han
article en

Abstract

Developed sensor arrays commonly rely on directly sensing the effects of antibiotics on oxidoreductase-like activity, which has faced significant challenges in discriminating between structurally similar antibiotics. In this study, we constructed a hydrolysis-cascade sensor array in which hydrolase-like activity decoding was employed to amplify the chemical features input into the sensor array, thereby enabling more accurate identification of aminoglycosides. Specifically, two Ce-based nanozymes with glycoside hydrolase-like activity were synthesized to perform the pH-regulated hydrolytic decoding of aminoglycosides. Hydrolysis products subsequently modulated the laccase-like activity of an Arac-Cu nanozyme, producing distinct responses across the sensor array. The hydrolysis-cascade sensor array with machine learning assistance achieved the accurate identification of concentration-independent aminoglycosides, highlighting the great potential of the hydrolysis-cascade sensor array for analytical applications in complex environments. This work provides a new strategy for improving the accurate identification of aminoglycosides under complex environmental conditions.

Analytical Chemistry
Jilin University (CN), Department of Water (AU), Ministry of Education (RO), Institute of Food Science & Technology (GB), Jilin Medical University (CN)
Natural Science Foundation of Jilin Province, National Natural Science Foundation of China
Reduced inequalities
Openalex Percentile: Top 15%
Advanced Nanomaterials in Catalysis
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