Chen Guiquan, Shi Long, Wang Jiancong, Zhu Siqi, Sheng Jialian, Yang Xiaoyun, Xu Hanhong
Department of Pesticides, College of Plant Protection, South China Agricultural University, Guangzhou, China.
Food Addit Contam Part B Surveill. 2023 Jun;16(2):176-184. doi: 10.1080/19393210.2023.2191344. Epub 2023 Mar 28.
In 2019 and 2020, 70 paddy and 70 brown rice samples were collected from South China and Southwest China, wherein the residues of 15 target pesticides were investigated. A gas chromatography-mass spectrometry (GC-MS) method was established for the simultaneous detection of 15 pesticides, which achieved good linear relationship with limits of detection (LODs) of 0.10-4.00 μg kg. The average recoveries and relative standard deviations (RSD) were satisfied for the pesticide residues detection. Analysis results showed that the detection rates of 15 typical pesticides in paddy and brown rice were 0%-12.9% and 0%-1.4%, respectively. None of the 15 pesticides exceed their maximum residue limit (MRL) stipulated by China. The pesticide with the highest detection rate and concentration was chlorpyrifos. This study can provide data support for the control of pesticide residues in rice and the realisation of the improving the efficiency of pesticide and fertiliser while reducing their application.
2019年和2020年,从中国华南和西南地区采集了70份稻谷和70份糙米样本,对其中15种目标农药的残留量进行了调查。建立了气相色谱-质谱联用(GC-MS)法同时检测15种农药,该方法线性关系良好,检出限(LOD)为0.10 - 4.00 μg/kg。农药残留检测的平均回收率和相对标准偏差(RSD)均令人满意。分析结果表明,15种典型农药在稻谷和糙米中的检出率分别为0% - 12.9%和0% - 1.4%。15种农药均未超过中国规定的最大残留限量(MRL)。检出率和浓度最高的农药是毒死蜱。本研究可为水稻农药残留控制以及实现提高农药和化肥使用效率同时减少其施用量提供数据支持。