{"title":"中国南方和西南种植水稻的农药残留。","authors":"Guiquan Chen, Long Shi, Jiancong Wang, Siqi Zhu, Jialian Sheng, Xiaoyun Yang, Hanhong Xu","doi":"10.1080/19393210.2023.2191344","DOIUrl":null,"url":null,"abstract":"<p><p>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<sup>-1</sup>. 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.</p>","PeriodicalId":12286,"journal":{"name":"Food additives & contaminants. Part B, Surveillance","volume":"16 2","pages":"176-184"},"PeriodicalIF":2.5000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Pesticide residues in rice planted in South and Southwest China.\",\"authors\":\"Guiquan Chen, Long Shi, Jiancong Wang, Siqi Zhu, Jialian Sheng, Xiaoyun Yang, Hanhong Xu\",\"doi\":\"10.1080/19393210.2023.2191344\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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<sup>-1</sup>. 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.</p>\",\"PeriodicalId\":12286,\"journal\":{\"name\":\"Food additives & contaminants. Part B, Surveillance\",\"volume\":\"16 2\",\"pages\":\"176-184\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2023-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Food additives & contaminants. Part B, Surveillance\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.1080/19393210.2023.2191344\",\"RegionNum\":3,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Food additives & contaminants. Part B, Surveillance","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1080/19393210.2023.2191344","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, APPLIED","Score":null,"Total":0}
Pesticide residues in rice planted in South and Southwest China.
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-1. 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.
期刊介绍:
Food Additives & Contaminants: Part B publishes surveillance data indicating the presence and levels of occurrence of designated food additives, residues and contaminants in foods, food supplements and animal feed. Data using validated methods must meet stipulated quality standards to be acceptable and must be presented in a prescribed format for subsequent data-handling.
Food Additives & Contaminants: Part B restricts its scope to include certain classes of food additives, residues and contaminants. This is based on a goal of covering those areas where there is a need to record surveillance data for the purposes of exposure and risk assessment.
The scope is initially restricted to:
Additives - food colours, artificial sweeteners, and preservatives;
Residues – veterinary drug and pesticide residues;
Contaminants – metals, mycotoxins, phycotoxins, plant toxins, nitrate/nitrite, PCDDs/PCFDs, PCBs, PAHs, acrylamide, 3-MPCD and contaminants derived from food packaging.
Readership: The readership includes scientists involved in all aspects of food safety and quality and particularly those involved in monitoring human exposure to chemicals from the diet.
Papers reporting surveillance data in areas other than the above should be submitted to Part A . The scope of Part B will be expanded from time-to-time to ensure inclusion of new areas of concern.