刘蓓蓓, 翟荣启, 张杰, 刘广洋, 黄晓冬, 吕军, 刘俊江, 许晓敏, 李凌云, 张延国, 陈鸽, 徐东辉. 基于光学传感器的农药精准识别检测技术研究进展[J]. 农药学学报, 2023, 25(5): 1017-1030. DOI: 10.16801/j.issn.1008-7303.2023.0079
    引用本文: 刘蓓蓓, 翟荣启, 张杰, 刘广洋, 黄晓冬, 吕军, 刘俊江, 许晓敏, 李凌云, 张延国, 陈鸽, 徐东辉. 基于光学传感器的农药精准识别检测技术研究进展[J]. 农药学学报, 2023, 25(5): 1017-1030. DOI: 10.16801/j.issn.1008-7303.2023.0079
    LIU Beibei, ZHAI Rongqi, ZHANG Jie, LIU Guangyang, HUANG Xiaodong, LYU Jun, LIU Junjiang, XU Xiaomin, LI Lingyun, Zhang Yanguo, CHEN Ge, XU Donghui. Research progress in precise recognition and detection technology for pesticide based on optical sensor[J]. Chinese Journal of Pesticide Science, 2023, 25(5): 1017-1030. DOI: 10.16801/j.issn.1008-7303.2023.0079
    Citation: LIU Beibei, ZHAI Rongqi, ZHANG Jie, LIU Guangyang, HUANG Xiaodong, LYU Jun, LIU Junjiang, XU Xiaomin, LI Lingyun, Zhang Yanguo, CHEN Ge, XU Donghui. Research progress in precise recognition and detection technology for pesticide based on optical sensor[J]. Chinese Journal of Pesticide Science, 2023, 25(5): 1017-1030. DOI: 10.16801/j.issn.1008-7303.2023.0079

    基于光学传感器的农药精准识别检测技术研究进展

    Research progress in precise recognition and detection technology for pesticide based on optical sensor

    • 摘要: 农药在提高农作物产量和质量方面发挥了重要的作用,但农药的不规范使用导致农药残留超标,对人、畜及环境造成了一定的威胁。为快速检测农药残留状况,酶抑制法、酶联免疫吸附法、胶体金免疫层析法以及生物传感器等快速检测方法被广泛应用,其中基于光学传感器的农药分子精准识别技术具有高灵敏度和高选择性而受到高度关注。本文主要介绍抗体、适配体、分子印迹聚合物和金属有机框架等分子识别元件对农药的精准识别,重点对比色法、荧光法、化学发光法、表面增强拉曼光谱法以及表面等离子体共振法5种检测方法综述了基于光学传感器的农药分子精准识别技术在农药残留检测中的应用,并总结了其优缺点,展望了基于光学传感器的农药分子精准识别技术的发展趋势,为农药残留精准识别快速检测技术的发展提供参考依据。

       

      Abstract: Pesticides play an important role in improving the yield and quality of agricultural products, but the irregular use of pesticides lead to excessive pesticide residues, which poses potential risks to people, livestock and the environment. For rapid monitoring of pesticide residues, rapid detection methods such as enzyme inhibition, enzyme-linked immunosorbent assay, colloidal gold immune chromatography, and biosensor have been widely used. Among them, optical sensors have attracted much attention for their high sensitivity and selectivity in the precise recognition and detection of pesticide molecules. This paper mainly introduces the precise recognition of pesticides by antibodies, aptamers, molecularly imprinted polymers, and metal-organic frameworks. The application of optical sensor based pesticide molecule identification technology in pesticide residue detection were reviewed from five aspects: colorimetry, fluorescence, chemiluminescence, surface-enhanced Raman spectroscopy, and surface plasmon resonance. The advantages, disadvantages, and development trend of the optical sensor based precise recognition technology for pesticide molecules was also summarized and prospected. This article provides a reference for the development of rapid detection technology for precise identification of pesticide residues.

       

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