数字农科院2.0

Sensitive and Highly Selective Detection of Organophosphorus Pesticides Using Organic Field-Effect Transistors

文献类型： 外文期刊

作者： Lei, Yanan;Gao, Haikuo;Qin, Zhengsheng;Cheng, Jie;Gao, Can;Liu, Dan;Miao, Zhagen;Tan, Xiangyu;Wang, Pengsong;Li, Qingbin;Zhang, Yu;Wang, Pu;Ding, Xiaodan;Xie, Ziyi;Liu, Zhenling;Yang, Jiaxin;Wang, Yongshuai;Zhang, Yihan;Dong, Huanli;Wang, Peilong

作者机构：

关键词： anti-interference;food safety;organic field-effect transistors;organophosphorus pesticides;pesticide risk identification;sensitive detection

期刊名称： SMARTMAT

ISSN： 2766-8525

年卷期： 2025 年 6 卷 2 期

页码：

收录情况： EI（2025版） ; ; CSCD（2025-2026年度） ; ; ESCI（2025版）

摘要： Smart agriculture is an inevitable trend in the modernization of agriculture. Achieving efficient and precise monitoring of trace pesticides is an important research direction in smart agriculture, with significant implications for a safe food supply chain. However, highly sensitive and high-throughput determination of pesticides still faces formidable challenges. Herein, we demonstrate a kind of sensitive and highly selective organophosphorus pesticide device based on organic field-effect transistors (OFETs). The unique signal amplification capability of OFETs and acetylcholinesterase modification on the active channel layer enables the achievement of accurate analysis of chlorpyrifos, parathion-methyl, and omethoate at the ppb level. Moreover, the simultaneous analysis of multiple samples is realized via the preparation of multichannel devices. Additionally, a portable monitoring applet is developed, enabling real-time assessment of the pesticide contamination status of samples based on the current response. This work provides a new avenue for constructing highly sensitive, real-time, high-flux intelligent agriculture sensing technology.

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