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用于检测食品中农药的亲和传感策略

Affinity Sensing Strategies for the Detection of Pesticides in Food.

作者信息

Capoferri Denise, Della Pelle Flavio, Del Carlo Michele, Compagnone Dario

机构信息

Faculty of Biosciences and Technologies for Food, Agriculture and Environment, University of Teramo, via R. Balzarini 1, 64100 Teramo, Italy.

出版信息

Foods. 2018 Sep 5;7(9):148. doi: 10.3390/foods7090148.

Abstract

This is a review of recent affinity-based approaches that detect pesticides in food. The importance of the quantification and monitoring of pesticides is firstly discussed, followed by a description of the different approaches reported in the literature. The different sensing approaches are reported according to the different recognition element used: antibodies, aptamers, or molecularly imprinted polymers. Schemes of detection and the main features of the assays are reported and commented upon. The large number of affinity sensors recently developed and tested on real samples demonstrate that this approach is ready to be validated to monitor the amount of pesticides used in food commodities.

摘要

这是一篇关于近期基于亲和作用检测食品中农药方法的综述。首先讨论了农药定量和监测的重要性,随后描述了文献中报道的不同方法。根据所使用的不同识别元件(抗体、适体或分子印迹聚合物)报告了不同的传感方法。报告并评论了检测方案和分析方法的主要特点。最近开发并在实际样品上进行测试的大量亲和传感器表明,这种方法已准备好用于验证食品商品中农药使用量的监测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d82b/6165126/28e842fefeb4/foods-07-00148-g001a.jpg

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