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表面增强拉曼光谱法快速测定苹果表面混合农药残留量

Rapid Determination of Mixed Pesticide Residues on Apple Surfaces by Surface-Enhanced Raman Spectroscopy.

作者信息

Wang Luyao, Ma Pei, Chen Hui, Chang Min, Lu Ping, Chen Ning, Yuan Yanbing, Chen Nan, Zhang Xuedian

机构信息

Key Laboratory of Optical Technology and Instrument for Medicine, Ministry of Education, College of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.

School of Electrical Engineering, Nantong University, Nantong 226019, China.

出版信息

Foods. 2022 Apr 10;11(8):1089. doi: 10.3390/foods11081089.

Abstract

Chlorpyrifos (CPF) and 2,4-dichlorophenoxyacetic acid (2,4-D) are insecticides and herbicides which has been widely used on farms. However, CPF and 2,4-D residues on corps can bring high risks to human health. Accurate detection of pesticide residues is important for controlling health risks caused by CPF and 2,4-D. Therefore, we developed a fast, sensitive, economical, and lossless surface-enhanced Raman spectroscopy (SERS)-based method for pesticide detection. It can rapidly and simultaneously determine the CPF and 2,4-D mixed pesticide residues on an apple surface at a minimum of 0.001 mg L concentration, which is far below the pesticide residue standard in China and the EU. The limits of detection reach down to 1.28 × 10 mol L for CPF and 2.47 × 10 mol L for 2,4-D. The limits of quantification are 4.27 × 10 mol L and 8.23 × 10 mol L for CPF and 2,4-D. This method has a great potential for the accurate detection of pesticide residues, and may be applied to other fields of agricultural products and food industry.

摘要

毒死蜱(CPF)和2,4-二氯苯氧乙酸(2,4-D)分别是杀虫剂和除草剂,在农场中已被广泛使用。然而,农作物上的CPF和2,4-D残留会给人类健康带来高风险。准确检测农药残留对于控制由CPF和2,4-D引起的健康风险至关重要。因此,我们开发了一种基于表面增强拉曼光谱(SERS)的快速、灵敏、经济且无损的农药检测方法。该方法能够快速同时测定苹果表面CPF和2,4-D混合农药残留,最低检测浓度为0.001 mg/L,这一浓度远低于中国和欧盟的农药残留标准。CPF的检测限低至1.28×10⁻⁸mol/L,2,4-D的检测限为2.47×10⁻⁸mol/L。CPF和2,4-D的定量限分别为4.27×10⁻⁸mol/L和8.23×10⁻⁸mol/L。该方法在准确检测农药残留方面具有巨大潜力,可能应用于农产品和食品工业的其他领域。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e44/9031303/722eb9792585/foods-11-01089-g001.jpg

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