高选择性固液萃取微塑料混合物,作为核磁共振光谱定量研究的预处理工具

IF 3.6 3区 化学 Q2 CHEMISTRY, ANALYTICAL
Analyst Pub Date : 2024-09-27 DOI:10.1039/D4AN00991F
Marcel Günther and Wolfgang Imhof
{"title":"高选择性固液萃取微塑料混合物,作为核磁共振光谱定量研究的预处理工具","authors":"Marcel Günther and Wolfgang Imhof","doi":"10.1039/D4AN00991F","DOIUrl":null,"url":null,"abstract":"<p >Despite various developments in the application of quantitative nuclear magnetic resonance (qNMR) spectroscopy toward microplastics in recent years, this method still lacks suitable sample preparation and fractionation procedures. As this poses a crucial obstacle for its utilisation on environmental samples, which contain various mixtures of polymers along with other matrix substances, this research aims to address this missing link by presenting an easy-to-apply procedure based on common laboratory equipment. The process selectively separates microplastics from inorganic constituents while performing the necessary fractionation of different types of microplastics prior to qNMR analysis. It allows subsequent quantification of polystyrene (PS), polybutadiene rubber (BR), polymethylmethacrylate (PMMA), polyvinylchloride (PVC), polyethylene terephthalate (PET) and polyamide (PA) from a single sample, establishing recovery rates greater than 88% for all tested polymer types. Additionally, we extended our previous qNMR protocol to include two common polymer types: polymethylmethacrylate (PMMA) and polyacrylonitrile (PAN), achieving limits of detection down to 1.76 μg ml<small><sup>−1</sup></small> and 12.53 μg ml<small><sup>−1</sup></small> as well as limits of quantification down to 5.88 μg ml<small><sup>−1</sup></small> and 41.78 μg ml<small><sup>−1</sup></small>, respectively. Thus, the qNMR method presented herein is now applicable to eight abundant polymer types, allowing the quantification of up to three different types simultaneously.</p>","PeriodicalId":63,"journal":{"name":"Analyst","volume":" 24","pages":" 5800-5811"},"PeriodicalIF":3.6000,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.rsc.org/en/content/articlepdf/2024/an/d4an00991f?page=search","citationCount":"0","resultStr":"{\"title\":\"Highly selective solid–liquid extraction of microplastic mixtures as a pre-preparation tool for quantitative nuclear magnetic resonance spectroscopy studies†\",\"authors\":\"Marcel Günther and Wolfgang Imhof\",\"doi\":\"10.1039/D4AN00991F\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p >Despite various developments in the application of quantitative nuclear magnetic resonance (qNMR) spectroscopy toward microplastics in recent years, this method still lacks suitable sample preparation and fractionation procedures. As this poses a crucial obstacle for its utilisation on environmental samples, which contain various mixtures of polymers along with other matrix substances, this research aims to address this missing link by presenting an easy-to-apply procedure based on common laboratory equipment. The process selectively separates microplastics from inorganic constituents while performing the necessary fractionation of different types of microplastics prior to qNMR analysis. It allows subsequent quantification of polystyrene (PS), polybutadiene rubber (BR), polymethylmethacrylate (PMMA), polyvinylchloride (PVC), polyethylene terephthalate (PET) and polyamide (PA) from a single sample, establishing recovery rates greater than 88% for all tested polymer types. Additionally, we extended our previous qNMR protocol to include two common polymer types: polymethylmethacrylate (PMMA) and polyacrylonitrile (PAN), achieving limits of detection down to 1.76 μg ml<small><sup>−1</sup></small> and 12.53 μg ml<small><sup>−1</sup></small> as well as limits of quantification down to 5.88 μg ml<small><sup>−1</sup></small> and 41.78 μg ml<small><sup>−1</sup></small>, respectively. Thus, the qNMR method presented herein is now applicable to eight abundant polymer types, allowing the quantification of up to three different types simultaneously.</p>\",\"PeriodicalId\":63,\"journal\":{\"name\":\"Analyst\",\"volume\":\" 24\",\"pages\":\" 5800-5811\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2024-09-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://pubs.rsc.org/en/content/articlepdf/2024/an/d4an00991f?page=search\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Analyst\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://pubs.rsc.org/en/content/articlelanding/2024/an/d4an00991f\",\"RegionNum\":3,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, ANALYTICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Analyst","FirstCategoryId":"92","ListUrlMain":"https://pubs.rsc.org/en/content/articlelanding/2024/an/d4an00991f","RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0

摘要

尽管近年来在微塑料定量核磁共振光谱(qNMR)的应用方面取得了各种进展,但该方法仍然缺乏合适的样品制备和分馏程序。由于环境样本中会含有各种聚合物混合物和其他基质物质,这对环境样本的应用构成了重要障碍,因此本研究希望解决这一缺失环节,提出了一种基于普通实验室设备的简便应用程序。该程序可选择性地将微塑料从无机成分中分离出来,同时在 qNMR 分析之前对不同类型的微塑料进行必要的分馏。该方法允许从单一样品中对聚苯乙烯 (PS)、聚丁二烯 (BR)、聚甲基丙烯酸甲酯 (PMMA)、聚氯乙烯 (PVC)、聚对苯二甲酸乙二醇酯 (PET) 和聚酰胺 (PA) 进行后续定量分析,所有测试聚合物类型的回收率均超过 88%。此外,我们通过聚甲基丙烯酸甲酯(PMMA)和聚丙烯腈(PAN)这两种常见的聚合物类型扩展了之前的 qNMR 方案,检测限分别降至 1.76 微克/毫升和 12.53 微克/毫升,定量限分别降至 5.88 微克/毫升和 41.78 微克/毫升。因此,本文介绍的 qNMR 方法目前适用于八种丰富的聚合物类型,最多可同时对三种不同类型的聚合物进行定量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Highly selective solid–liquid extraction of microplastic mixtures as a pre-preparation tool for quantitative nuclear magnetic resonance spectroscopy studies†

Highly selective solid–liquid extraction of microplastic mixtures as a pre-preparation tool for quantitative nuclear magnetic resonance spectroscopy studies†

Despite various developments in the application of quantitative nuclear magnetic resonance (qNMR) spectroscopy toward microplastics in recent years, this method still lacks suitable sample preparation and fractionation procedures. As this poses a crucial obstacle for its utilisation on environmental samples, which contain various mixtures of polymers along with other matrix substances, this research aims to address this missing link by presenting an easy-to-apply procedure based on common laboratory equipment. The process selectively separates microplastics from inorganic constituents while performing the necessary fractionation of different types of microplastics prior to qNMR analysis. It allows subsequent quantification of polystyrene (PS), polybutadiene rubber (BR), polymethylmethacrylate (PMMA), polyvinylchloride (PVC), polyethylene terephthalate (PET) and polyamide (PA) from a single sample, establishing recovery rates greater than 88% for all tested polymer types. Additionally, we extended our previous qNMR protocol to include two common polymer types: polymethylmethacrylate (PMMA) and polyacrylonitrile (PAN), achieving limits of detection down to 1.76 μg ml−1 and 12.53 μg ml−1 as well as limits of quantification down to 5.88 μg ml−1 and 41.78 μg ml−1, respectively. Thus, the qNMR method presented herein is now applicable to eight abundant polymer types, allowing the quantification of up to three different types simultaneously.

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
Analyst
Analyst 化学-分析化学
CiteScore
7.80
自引率
4.80%
发文量
636
审稿时长
1.9 months
期刊介绍: "Analyst" journal is the home of premier fundamental discoveries, inventions and applications in the analytical and bioanalytical sciences.
×
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