Determination of Multiple Pesticide Residues and Dietary Intake Risk Assessment of 35 Pesticides in Beet from Five Provinces of Northern China

IF 1.8 3区 农林科学 Q2 AGRONOMY
Zichen Wang, Bingshan Jiang, Caiwei Pang, Lin Liu, Qin Zhou
{"title":"Determination of Multiple Pesticide Residues and Dietary Intake Risk Assessment of 35 Pesticides in Beet from Five Provinces of Northern China","authors":"Zichen Wang,&nbsp;Bingshan Jiang,&nbsp;Caiwei Pang,&nbsp;Lin Liu,&nbsp;Qin Zhou","doi":"10.1007/s12355-024-01512-y","DOIUrl":null,"url":null,"abstract":"<div><p>A comprehensive analytical method was developed for detecting the presence of 15 organophosphorus pesticide residues in various sugar beet types. This method employed a gas chromatography-flame photometric detector. Additionally, a modified quick, easy, cheap, effective, rugged, safe method, combined with gas chromatography-electron capture detection, was utilized for determining 20 organochlorine pesticide residues. The established procedure was subsequently applied to evaluate and conduct a risk assessment of 208 samples sourced from the principal sugar beet production areas. For sample extraction, acetonitrile was used as the solvent, leading to a phase separation. The supernatant was then extracted and concentrated using rotary evaporation, retaining 10 mL of the extract. This extract was further diluted with acetone and directly injected through a 0.22-µm filter membrane. Gas chromatographic analysis was carried out using programmed temperature mode and FPD detector. The results showed that the 15 pesticides showed good linearity (<i>R</i><sup>2</sup> &gt; 0.99) with the limits of detection ranging from 0.0047 to 0.0261 mg/kg, the limits of quantification ranging from 0.0143 to 0.0790 mg/kg, and the average recoveries ranged from 60.3 to 120% with the relative standard deviations of 2.0–19.3%. The risk assessment of 15 organophosphorus, 20 organochlorine, and pyrethroid pesticides was carried out on 208 actual samples, and none of the detected pesticides with reference values exceeded the standard, and the risk quotient of chronic dietary intake was less than 100%, which indicated that the risk of pesticide hazards to human health in sugar beets was low. The method is suitable for the determination of organophosphorus pesticide residues in sugar beets because of its simple operation, high precision and accuracy, short analysis time, and low use of organic solvents.</p></div>","PeriodicalId":781,"journal":{"name":"Sugar Tech","volume":"27 2","pages":"393 - 406"},"PeriodicalIF":1.8000,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sugar Tech","FirstCategoryId":"97","ListUrlMain":"https://link.springer.com/article/10.1007/s12355-024-01512-y","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AGRONOMY","Score":null,"Total":0}
引用次数: 0

Abstract

A comprehensive analytical method was developed for detecting the presence of 15 organophosphorus pesticide residues in various sugar beet types. This method employed a gas chromatography-flame photometric detector. Additionally, a modified quick, easy, cheap, effective, rugged, safe method, combined with gas chromatography-electron capture detection, was utilized for determining 20 organochlorine pesticide residues. The established procedure was subsequently applied to evaluate and conduct a risk assessment of 208 samples sourced from the principal sugar beet production areas. For sample extraction, acetonitrile was used as the solvent, leading to a phase separation. The supernatant was then extracted and concentrated using rotary evaporation, retaining 10 mL of the extract. This extract was further diluted with acetone and directly injected through a 0.22-µm filter membrane. Gas chromatographic analysis was carried out using programmed temperature mode and FPD detector. The results showed that the 15 pesticides showed good linearity (R2 > 0.99) with the limits of detection ranging from 0.0047 to 0.0261 mg/kg, the limits of quantification ranging from 0.0143 to 0.0790 mg/kg, and the average recoveries ranged from 60.3 to 120% with the relative standard deviations of 2.0–19.3%. The risk assessment of 15 organophosphorus, 20 organochlorine, and pyrethroid pesticides was carried out on 208 actual samples, and none of the detected pesticides with reference values exceeded the standard, and the risk quotient of chronic dietary intake was less than 100%, which indicated that the risk of pesticide hazards to human health in sugar beets was low. The method is suitable for the determination of organophosphorus pesticide residues in sugar beets because of its simple operation, high precision and accuracy, short analysis time, and low use of organic solvents.

Abstract Image

求助全文
约1分钟内获得全文 求助全文
来源期刊
Sugar Tech
Sugar Tech AGRONOMY-
CiteScore
3.90
自引率
21.10%
发文量
145
期刊介绍: The journal Sugar Tech is planned with every aim and objectives to provide a high-profile and updated research publications, comments and reviews on the most innovative, original and rigorous development in agriculture technologies for better crop improvement and production of sugar crops (sugarcane, sugar beet, sweet sorghum, Stevia, palm sugar, etc), sugar processing, bioethanol production, bioenergy, value addition and by-products. Inter-disciplinary studies of fundamental problems on the subjects are also given high priority. Thus, in addition to its full length and short papers on original research, the journal also covers regular feature articles, reviews, comments, scientific correspondence, etc.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信