Pesticide Residues Detection in Agricultural Products

Braja Manggala, C. Chaichana, Wahyu Nurkholis Hadi Syahputra, Wasin Wongwilai
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引用次数: 0

Abstract

Abstract Pesticides have been the most often used substance in recent decades to protect agricultural goods from pests affecting farmers, especially in conventional agriculture. Pesticides are effective in preventing and removing pests. On the other hand, pesticides risk human health since they may be found in agricultural goods for an extended time. As a result, it is critical to have a robust analytical procedure in place to monitor pesticide residues in agricultural products. Chromatography, Raman spectroscopy, and Ultraviolet-visible (UV-VIS) - Near Infrared (NIR) are methods used to identify pesticide residues, and each has benefits. Additionally, a cutting-edge technique called hyperspectral imaging has recently been employed. This review paper discusses the most current application of those approaches, combined with machine learning and chemometrics, in identifying pesticide residues in agricultural goods such as crops, vegetables, and fruits. The approach's basic principles, benefits, and drawbacks will be briefly addressed. Our findings indicate that those methods provide precise and stable results for identifying pesticide residues in agricultural products. However, most of those methods are possessed a high initial cost, complex processes, time-consuming, which is inappropriate with the agricultural modern concept, especially related to smallholder farmers. Hence, shortly, a low-cost, portable, and highly accurate internet-connected device must be developed. Keywords: Pesticide residue, Chromatography, Raman spectroscopy, UV-VIS-NIR spectroscopy, Hyperspectral imaging
农产品中农药残留检测
摘要农药是近几十年来最常用的一种保护农产品免受害虫侵害的物质,特别是在传统农业中。农药在防治害虫方面是有效的。另一方面,农药危害人类健康,因为它们可能在农产品中存在较长时间。因此,有一个健全的分析程序来监测农产品中的农药残留是至关重要的。色谱法、拉曼光谱法和紫外-可见(UV-VIS) -近红外(NIR)是用于鉴定农药残留的方法,每种方法都有其优点。此外,最近还采用了一种称为高光谱成像的尖端技术。这篇综述文章讨论了这些方法的最新应用,结合机器学习和化学计量学,在识别农作物、蔬菜和水果等农产品中的农药残留。本文将简要介绍该方法的基本原理、优点和缺点。结果表明,该方法为农产品中农药残留的鉴定提供了准确、稳定的结果。然而,这些方法大多初始成本高,工艺复杂,耗时长,与现代农业理念不相适应,特别是与小农相关。因此,在短期内,必须开发出一种低成本、便携、高精度的互联网连接设备。关键词:农药残留,色谱,拉曼光谱,紫外-可见-近红外光谱,高光谱成像
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