生物溶剂型自动分散液-液微萃取法预处理环境水样中二胺类杀虫剂

IF 9.3 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Green Chemistry Pub Date : 2024-11-07 DOI:10.1039/D4GC04467C
Jin Liu, Yuxin Wang, Rui Song, Yukun Yang, Li Li and Xu Jing
{"title":"生物溶剂型自动分散液-液微萃取法预处理环境水样中二胺类杀虫剂","authors":"Jin Liu, Yuxin Wang, Rui Song, Yukun Yang, Li Li and Xu Jing","doi":"10.1039/D4GC04467C","DOIUrl":null,"url":null,"abstract":"<p >A green, efficient, and cost-effective bio-derived solvent-based automated dispersive liquid–liquid microextraction (BDS-ADLLME) method was developed in the present study. A liquid handling platform with only the pipetting function module was employed to achieve automated multiple-sample pretreatment and eliminate manual errors. Green bio-derived solvents, γ-valerolactone and eucalyptol, derived from renewable resources and exhibiting high environmental friendliness, were used as dispersant and extractant, respectively. The eucalyptol self-separated from the samples within 5 minutes, eliminating the need for centrifuges and demulsifiers. Four greenness evaluation tools confirmed that the BDS-ADLLME was an environmentally friendly sample pretreatment method meeting the requirements of green chemistry. The linear range was 0.006–3 μg L<small><sup>−1</sup></small> with <em>R</em><small><sup>2</sup></small> &gt; 0.999. The limit of detection was 0.002 μg L<small><sup>−1</sup></small>. The BDS-ADLLME method successfully detected chlorantraniliprole and flubendiamide in tap, river, lake, and spring water samples, with recoveries and relative standard deviations ranging from 83.4–107.7% and 1.7%–5.4%, respectively. The BDS-ADLLME provides a feasible approach for developing automated eco-friendly dispersive liquid–liquid microextraction methods.</p>","PeriodicalId":78,"journal":{"name":"Green Chemistry","volume":" 2","pages":" 420-431"},"PeriodicalIF":9.3000,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Bio-derived solvent-based automated dispersive liquid–liquid microextraction for pretreatment of diamide insecticides in environmental water samples†\",\"authors\":\"Jin Liu, Yuxin Wang, Rui Song, Yukun Yang, Li Li and Xu Jing\",\"doi\":\"10.1039/D4GC04467C\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p >A green, efficient, and cost-effective bio-derived solvent-based automated dispersive liquid–liquid microextraction (BDS-ADLLME) method was developed in the present study. A liquid handling platform with only the pipetting function module was employed to achieve automated multiple-sample pretreatment and eliminate manual errors. Green bio-derived solvents, γ-valerolactone and eucalyptol, derived from renewable resources and exhibiting high environmental friendliness, were used as dispersant and extractant, respectively. The eucalyptol self-separated from the samples within 5 minutes, eliminating the need for centrifuges and demulsifiers. Four greenness evaluation tools confirmed that the BDS-ADLLME was an environmentally friendly sample pretreatment method meeting the requirements of green chemistry. The linear range was 0.006–3 μg L<small><sup>−1</sup></small> with <em>R</em><small><sup>2</sup></small> &gt; 0.999. The limit of detection was 0.002 μg L<small><sup>−1</sup></small>. The BDS-ADLLME method successfully detected chlorantraniliprole and flubendiamide in tap, river, lake, and spring water samples, with recoveries and relative standard deviations ranging from 83.4–107.7% and 1.7%–5.4%, respectively. The BDS-ADLLME provides a feasible approach for developing automated eco-friendly dispersive liquid–liquid microextraction methods.</p>\",\"PeriodicalId\":78,\"journal\":{\"name\":\"Green Chemistry\",\"volume\":\" 2\",\"pages\":\" 420-431\"},\"PeriodicalIF\":9.3000,\"publicationDate\":\"2024-11-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Green Chemistry\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://pubs.rsc.org/en/content/articlelanding/2025/gc/d4gc04467c\",\"RegionNum\":1,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Green Chemistry","FirstCategoryId":"92","ListUrlMain":"https://pubs.rsc.org/en/content/articlelanding/2025/gc/d4gc04467c","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

摘要

本研究建立了一种绿色、高效、经济的生物溶剂基自动分散液液微萃取(BDS-ADLLME)方法。采用仅带移液功能模块的液体处理平台,实现多样品自动化预处理,消除人工误差。采用绿色生物衍生溶剂γ-戊内酯和桉树醇分别作为分散剂和萃取剂。桉树精油在5分钟内从样品中自行分离,不需要离心机和破乳剂。四种绿色度评价工具证实了BDS-ADLLME是一种符合绿色化学要求的环境友好型样品前处理方法。线性范围为0.006 ~ 3 μg L−1,R2 >;0.999. 检出限为0.002 μ L−1。BDS-ADLLME方法成功检测自来水、河流、湖泊和泉水样品中的氯虫腈和氟虫胺,回收率为83.4 ~ 107.7%,相对标准偏差为1.7% ~ 5.4%。BDS-ADLLME为开发自动化的生态友好型分散液液微萃取方法提供了可行的途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Bio-derived solvent-based automated dispersive liquid–liquid microextraction for pretreatment of diamide insecticides in environmental water samples†

Bio-derived solvent-based automated dispersive liquid–liquid microextraction for pretreatment of diamide insecticides in environmental water samples†

A green, efficient, and cost-effective bio-derived solvent-based automated dispersive liquid–liquid microextraction (BDS-ADLLME) method was developed in the present study. A liquid handling platform with only the pipetting function module was employed to achieve automated multiple-sample pretreatment and eliminate manual errors. Green bio-derived solvents, γ-valerolactone and eucalyptol, derived from renewable resources and exhibiting high environmental friendliness, were used as dispersant and extractant, respectively. The eucalyptol self-separated from the samples within 5 minutes, eliminating the need for centrifuges and demulsifiers. Four greenness evaluation tools confirmed that the BDS-ADLLME was an environmentally friendly sample pretreatment method meeting the requirements of green chemistry. The linear range was 0.006–3 μg L−1 with R2 > 0.999. The limit of detection was 0.002 μg L−1. The BDS-ADLLME method successfully detected chlorantraniliprole and flubendiamide in tap, river, lake, and spring water samples, with recoveries and relative standard deviations ranging from 83.4–107.7% and 1.7%–5.4%, respectively. The BDS-ADLLME provides a feasible approach for developing automated eco-friendly dispersive liquid–liquid microextraction methods.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Green Chemistry
Green Chemistry 化学-化学综合
CiteScore
16.10
自引率
7.10%
发文量
677
审稿时长
1.4 months
期刊介绍: Green Chemistry is a journal that provides a unique forum for the publication of innovative research on the development of alternative green and sustainable technologies. The scope of Green Chemistry is based on the definition proposed by Anastas and Warner (Green Chemistry: Theory and Practice, P T Anastas and J C Warner, Oxford University Press, Oxford, 1998), which defines green chemistry as the utilisation of a set of principles that reduces or eliminates the use or generation of hazardous substances in the design, manufacture and application of chemical products. Green Chemistry aims to reduce the environmental impact of the chemical enterprise by developing a technology base that is inherently non-toxic to living things and the environment. The journal welcomes submissions on all aspects of research relating to this endeavor and publishes original and significant cutting-edge research that is likely to be of wide general appeal. For a work to be published, it must present a significant advance in green chemistry, including a comparison with existing methods and a demonstration of advantages over those methods.
×
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