Xiong Junhao, Ma Cuiguang, Qu Haonan, Zhang Haifnan, He Qiang, Zhao Zhihang, Liu Yuchao, Zhou Zihao, Noruzi Ehsan Bahojb, Li Haibing
State Key Laboratory of Green Pesticide, College of Chemistry, Central China Normal University, Wuhan 430079, P.R. China.
J Agric Food Chem. 2025 Sep 24;73(38):23783-23808. doi: 10.1021/acs.jafc.5c07935. Epub 2025 Sep 15.
Fluorescence detection technology has emerged as a research hotspot in pesticide residue analysis due to its high sensitivity (detection limits reaching nanomolar levels), rapid response (seconds to minutes), and cost-effectiveness. This paper systematically reviews the technological evolution from molecular-level fluorescence recognition (enzyme inhibition methods, molecular recognition with fluorescence response, molecularly imprinted sensors) to nanomaterial-based probes (carbon quantum dots, silica nanoparticles, etc.). It focuses on analyzing the design principles of various fluorescent probes, performance optimization strategies, and practical applications in food and environmental samples. Additionally, it discusses current technical bottlenecks such as insufficient selectivity and nanomaterial toxicity while outlining future directions including multimodal sensing, smart responsive materials, and portable device development. This comprehensive analysis provides theoretical guidance for the innovation and industrialization of pesticide detection technologies.
荧光检测技术因其高灵敏度（检测限可达纳摩尔水平）、快速响应（几秒到几分钟）和成本效益，已成为农药残留分析中的一个研究热点。本文系统回顾了从分子水平荧光识别（酶抑制法、具有荧光响应的分子识别、分子印迹传感器）到基于纳米材料的探针（碳量子点、二氧化硅纳米颗粒等）的技术演变。重点分析了各种荧光探针的设计原理、性能优化策略以及在食品和环境样品中的实际应用。此外，还讨论了当前的技术瓶颈，如选择性不足和纳米材料毒性，同时概述了未来的发展方向，包括多模态传感、智能响应材料和便携式设备开发。这一综合分析为农药检测技术的创新和产业化提供了理论指导。
