Sub-ppm determination of perfluorinated carboxylic acids in solution by UV-vis high-performance liquid chromatography through solid phase extraction.

Hongjiao Pang, Mayumi Allinson, Peter J Scales
{"title":"Sub-ppm determination of <i>perfluorinated carboxylic acids</i> in solution by UV-vis high-performance liquid chromatography through solid phase extraction.","authors":"Hongjiao Pang,&nbsp;Mayumi Allinson,&nbsp;Peter J Scales","doi":"10.1080/10934529.2023.2204801","DOIUrl":null,"url":null,"abstract":"<p><p>This study investigated a novel and sensitive analytical method based on a simple heat-based derivatization using 3-bromoacetyl coumarin as the reagent and analysis with a HPLC-UV system or just a UV-vis spectrometer to allow the sub-ppm determination of PFCAs in water solution with the potential for utilization in simple laboratories and field laboratory scenarios. A Strata-X-AW cartridge was used for the solid phase extraction (SPE) procedure and higher than 98% recoveries were obtained. The derivatization condition showed that a high efficiency of peak separation was obtained with obviously different retention time among various PFCAs derivatives using HPLC-UV analysis. The derivatization stability and repeatability showed favorable results with stable derivatized analytes for ≤12 h and a relative standard deviation (RSD) of <2% for all repetitions. The limit of detection for the HPLC-UV analysis was between 0.1 ppm and 0.5 ppm. A satisfactory linearity response was found with <i>R</i><sup>2</sup> >0.998 for all individual PFCA compounds. The limit of detection for simple UV-Vis analysis was <0.0003 ppm to measure the presence of PFCAs. Contamination of standards with humic substances and measurement of industrial samples in a complex wastewater matrix showed no adverse effects on the accuracy of PFCA determination by using the developed methodology.</p>","PeriodicalId":15671,"journal":{"name":"Journal of Environmental Science and Health Part A-toxic\\/hazardous Substances & Environmental Engineering","volume":null,"pages":null},"PeriodicalIF":1.9000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Environmental Science and Health Part A-toxic\\/hazardous Substances & Environmental Engineering","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1080/10934529.2023.2204801","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
引用次数: 0

Abstract

This study investigated a novel and sensitive analytical method based on a simple heat-based derivatization using 3-bromoacetyl coumarin as the reagent and analysis with a HPLC-UV system or just a UV-vis spectrometer to allow the sub-ppm determination of PFCAs in water solution with the potential for utilization in simple laboratories and field laboratory scenarios. A Strata-X-AW cartridge was used for the solid phase extraction (SPE) procedure and higher than 98% recoveries were obtained. The derivatization condition showed that a high efficiency of peak separation was obtained with obviously different retention time among various PFCAs derivatives using HPLC-UV analysis. The derivatization stability and repeatability showed favorable results with stable derivatized analytes for ≤12 h and a relative standard deviation (RSD) of <2% for all repetitions. The limit of detection for the HPLC-UV analysis was between 0.1 ppm and 0.5 ppm. A satisfactory linearity response was found with R2 >0.998 for all individual PFCA compounds. The limit of detection for simple UV-Vis analysis was <0.0003 ppm to measure the presence of PFCAs. Contamination of standards with humic substances and measurement of industrial samples in a complex wastewater matrix showed no adverse effects on the accuracy of PFCA determination by using the developed methodology.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
固相萃取紫外可见高效液相色谱法测定溶液中亚ppm的全氟羧酸。
本研究以3-溴乙酰香豆素为试剂,采用简单的热衍生化反应,利用高效液相色谱-紫外系统或紫外-可见光谱仪进行分析,研究了一种新的、灵敏的分析方法,可用于水溶液中PFCAs的亚ppm测定,具有在简单实验室和现场实验室应用的潜力。采用Strata-X-AW萃取筒进行固相萃取(SPE),回收率高于98%。衍生化条件表明,不同PFCAs衍生物间的保留时间存在明显差异,可获得较高的峰分离效率。衍生化稳定性和重复性良好,稳定的衍生化分析物≤12 h,所有PFCA化合物的相对标准偏差(RSD) R2 >0.998。紫外-可见分析的检出限为
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
4.10
自引率
4.80%
发文量
93
审稿时长
3.0 months
期刊介绍: 14 issues per year Abstracted/indexed in: BioSciences Information Service of Biological Abstracts (BIOSIS), CAB ABSTRACTS, CEABA, Chemical Abstracts & Chemical Safety NewsBase, Current Contents/Agriculture, Biology, and Environmental Sciences, Elsevier BIOBASE/Current Awareness in Biological Sciences, EMBASE/Excerpta Medica, Engineering Index/COMPENDEX PLUS, Environment Abstracts, Environmental Periodicals Bibliography & INIST-Pascal/CNRS, National Agriculture Library-AGRICOLA, NIOSHTIC & Pollution Abstracts, PubSCIENCE, Reference Update, Research Alert & Science Citation Index Expanded (SCIE), Water Resources Abstracts and Index Medicus/MEDLINE.
期刊最新文献
In vitro assessment of acute airway effects from real-life mixtures of ozone-initiated oxidation products of limonene and printer exhaust. Monitoring of ketamine-based emerging contaminants in wastewater: a direct-injection method and fragmentation pathway study. Precision forecasting of spray-dry desulfurization using Gaussian noise data augmentation and k-fold cross-validation optimized neural computing. Machine learning, a powerful tool for the prediction of BiVO4 nanoparticles efficiency in photocatalytic degradation of organic dyes. Application of machine learning approach (artificial neural network) and shrinking core model in cobalt (II) and copper (II) leaching process.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1