1.中国农业大学 营养与健康系 食品精准营养与质量控制教育部重点实验室,北京 100191
2.中国检验检疫科学研究院,北京 100176
许文涛,教授,研究方向:生物安全、功能核酸及功能食品,E - mail: xuwentao@cau.edu.cn
庞国芳,中国工程院院士,研究方向:农兽药残留检测技术,E - mail:qhdciqgfpang@yahoo.com.cn
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陈可仁,李洁,常巧英等.基于分子识别的农药残留快速检测研究进展[J].分析测试学报,2022,41(09):1439-1446.
CHEN Ke-ren,LI Jie,CHANG Qiao-ying,et al.Research Progress on Rapid Detection of Pesticide Residues Based on Molecular Recognition[J].Journal of Instrumental Analysis,2022,41(09):1439-1446.
陈可仁,李洁,常巧英等.基于分子识别的农药残留快速检测研究进展[J].分析测试学报,2022,41(09):1439-1446. DOI: 10.19969/j.fxcsxb.22032803.
CHEN Ke-ren,LI Jie,CHANG Qiao-ying,et al.Research Progress on Rapid Detection of Pesticide Residues Based on Molecular Recognition[J].Journal of Instrumental Analysis,2022,41(09):1439-1446. DOI: 10.19969/j.fxcsxb.22032803.
为了提高农作物的产量和质量,农药的使用量逐年增加,导致土壤、水和农作物等的污染加剧,对环境和人类健康造成了严重的威胁。因此,对于农药残留进行快速、灵敏的检测至关重要。近年来,多种用于农药残留快速检测的技术和产品被开发。该综述对多种识别方式在农药检测中的进展进行了介绍,包括以蛋白质和适配体为代表的生物识别、以纳米材料和大环化合物为代表的非生物识别以及基于农药独特的光学性质和化学性质实现的直接识别。最后对农药残留的快速检测进行了展望,以期为农药的即时监测(POCT)提供研究思路和方向。
The use of pesticides has been increasing year by year in order to improve the yield and quality of crops.However,the excessive use of pesticides has increased the pollution of soil,water and crops,posing a serious threat to the environment and human health.Therefore,rapid and sensitive detection of pesticide residues is essential.In recent years,a variety of techniques and products for the rapid detection of pesticide residues have been developed.The research progress of multiple identification methods for pesticide detection is introduced in this review,including biological recognition based on proteins and aptamers,non-biological recognition based on nanomaterials and macrocyclic compounds,and direct recognition based on the unique optical and chemical properties of pesticides.Finally,the research forecast on the rapid detection of pesticide residues is proposed to provide research ideas and directions for point-of-care testing(POCT) of pesticide.
即时检测(POCT)农药残留农药检测生物识别非生物识别直接识别
point-of-care testing(POCT)pesticide residuepesticide detectionbiological recognitionnon-biological recognitiondirect recognition
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