Recognition of organophosphate and carbamate pesticides by cholinesterase sensor arrays on the basis of enzymes from different organisms

文献类型： 外文期刊

第一作者： Shao, Yunling

作者： Shao, Yunling;Wang, Miao;Cao, Jing;She, Yongxin;Cao, Zhen;Jin, Fen;Wang, Jing;Shao, Yunling;Wang, Miao;Cao, Jing;She, Yongxin;Cao, Zhen;Jin, Fen;Wang, Jing;Xiao, Ming;Abd El-Aty, A. M.;Abd El-Aty, A. M.

作者机构：

关键词： Pesticides; Sensor array; Enzyme inhibition

期刊名称：MICROCHEMICAL JOURNAL （ 影响因子：5.1； 五年影响因子：4.7 ）

ISSN： 0026-265X

年卷期： 2024 年 206 卷

页码：

收录情况： SCI

摘要： Herein, we developed a multisensor array utilizing multiple cholinesterase (ChE) and indoxyl acetate (IDA) sensors for the detection and differentiation of trichlorfon (Tri), profenofos (Pro), methomyl (Met), carbofuran (Car), phoxim (Pho), and pyridaphenthion (Pyr). The detection mechanism involves the inactivation of ChE by organophosphates (OPs) and carbamates (CMs), leading to a reduction in the production of indoxyl groups through IDA hydrolysis. We observed distinct and varied inhibition rates of the three enzymes in response to Tri, Pro, Met, Car, Pho, and Pyr. Linear discriminant analysis (LDA) and hierarchical cluster analysis (HCA) plots illustrated the effectiveness of the system in accurately distinguishing both individual and mixed pesticides. Additionally, the platform showed the sensor array's ability to identify pesticide mixtures and resist interference. Furthermore, the successful classification and determination of celery samples highlighted its practical applicability. This approach holds promise for developing a straightforward sensor array for detecting and discriminating pesticides in complex samples.

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