Authors
Lili Liu, Yi Yuan, Haibo He, Junping Dong, Xitian Peng, Xiaoxia Yan, Liqiang Luo
Published in
Analytica chimica acta. Volume 1426. Pages 346332. Dec 08, 2026. Epub Sep 30, 2026.
Abstract
The widespread and excessive use of pesticides poses significant risks to both human health and ecological integrity. Inspired by the mammalian olfactory cross-response mechanisms, colorimetric sensor arrays provide a rapid, cost-effective and visual platform for multi-residue pesticide monitoring.
Herein, we report a four-channel response array constructed from Cu-N-C and Fe-N-C single-atom nanozymes rapidly synthesized via microwave assistance. These nanozymes exhibit intrinsic laccase-like (LAC) and peroxidase-like (POD) dual enzymatic activities, which are differentially modulated by distinct pesticide classes to generate characteristic fingerprint-like responses. Integrating with linear discriminant analysis (LDA) for dimensionality reduction and visualization, this array successfully discriminates three major pesticide categories-sulfonylureas, organophosphates, and carbamates, comprising nine typical pesticides within the discrimination concentration range of 5-500 ng/mL, and further distinguishes pesticide mixtures of varying compositional ratios.
Leave-one-out cross-validation (LOOCV) confirms the robust broad-spectrum classification capability of the system. The practical utility of this array is demonstrated through high-throughput screening of multi-pesticide residues in fruit samples. The synergistic integration of microwave-accelerated nanozyme synthesis and multichannel colorimetric sensing establishes a versatile and reliable paradigm for universal pesticide detection in complex matrices.
PMID:
42967777
Bibliographic data and abstract were imported from PubMed on 02 Nov 2026.
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