Analysis of phenylcarboxylic acid-type microbial metabolites by microextraction by packed sorbent from blood serum followed by GC–MS detection

IF 2.1 Q4 Chemistry Clinical Mass Spectrometry Pub Date : 2019-09-01 DOI:10.1016/j.clinms.2019.05.005
Alisa K. Pautova , Pavel D. Sobolev , Alexander I. Revelsky
{"title":"Analysis of phenylcarboxylic acid-type microbial metabolites by microextraction by packed sorbent from blood serum followed by GC–MS detection","authors":"Alisa K. Pautova ,&nbsp;Pavel D. Sobolev ,&nbsp;Alexander I. Revelsky","doi":"10.1016/j.clinms.2019.05.005","DOIUrl":null,"url":null,"abstract":"<div><p>A method for analysis of 8 phenylcarboxylic acids in blood serum was developed based on the coupling of microextraction by packed sorbent, derivatization and GC–MS detection. These compounds are low molecular weight aromatic microbial metabolites that are proven and prospective indicators of sepsis in critically ill patients. Recoveries of the phenylcarboxylic acids from serum samples using microextraction by packed sorbent were 30–70%. The present method was linear (<em>R<sup>2</sup></em> ≥ 0.9981) over a clinically significant range of concentrations (94–2250 µg L<sup>−1</sup>/0.5–18 µM). The limits of quantification for the optimized method were 60–100 µg L<sup>−1</sup>/0.4–0.7 µM for phenylpropionic, phenyllactic, 4-hydroxybenzoic and 4-hydroxyphenylacetic acids, and 160 µg L<sup>−1</sup>/0.9–1.3 µM for benzoic, 4-hydroxyphenyllactic, homovanillic and 4-hydroxyphenylpropionic acids. The developed conditions were used to determine concentrations of the phenylcarboxylic acids in the most complicated matrix – serum samples of critically ill patients. Results were compared with liquid-liquid extraction and revealed a reduction in the time for sample preparation (45 min vs. 6 min) and serum (200 µL vs. 80 µL) volume. The combination of microextraction by packed sorbent and GC–MS methods, especially when fully automated could be a powerful tool for the clinical diagnosis of sepsis.</p></div>","PeriodicalId":48565,"journal":{"name":"Clinical Mass Spectrometry","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.clinms.2019.05.005","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Mass Spectrometry","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2376999818300527","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Chemistry","Score":null,"Total":0}
引用次数: 13

Abstract

A method for analysis of 8 phenylcarboxylic acids in blood serum was developed based on the coupling of microextraction by packed sorbent, derivatization and GC–MS detection. These compounds are low molecular weight aromatic microbial metabolites that are proven and prospective indicators of sepsis in critically ill patients. Recoveries of the phenylcarboxylic acids from serum samples using microextraction by packed sorbent were 30–70%. The present method was linear (R2 ≥ 0.9981) over a clinically significant range of concentrations (94–2250 µg L−1/0.5–18 µM). The limits of quantification for the optimized method were 60–100 µg L−1/0.4–0.7 µM for phenylpropionic, phenyllactic, 4-hydroxybenzoic and 4-hydroxyphenylacetic acids, and 160 µg L−1/0.9–1.3 µM for benzoic, 4-hydroxyphenyllactic, homovanillic and 4-hydroxyphenylpropionic acids. The developed conditions were used to determine concentrations of the phenylcarboxylic acids in the most complicated matrix – serum samples of critically ill patients. Results were compared with liquid-liquid extraction and revealed a reduction in the time for sample preparation (45 min vs. 6 min) and serum (200 µL vs. 80 µL) volume. The combination of microextraction by packed sorbent and GC–MS methods, especially when fully automated could be a powerful tool for the clinical diagnosis of sepsis.

Abstract Image

Abstract Image

Abstract Image

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
填充吸附剂微萃取-气相色谱-质谱联用法分析血清中苯羧酸型微生物代谢物
建立了填充吸附剂微萃取-衍生化-气相色谱-质谱联用分析血清中8种苯羧酸的方法。这些化合物是低分子量芳香微生物代谢物,已被证明是危重患者脓毒症的前瞻性指标。填充吸附剂微萃取法对血清样品中苯羧酸的回收率为30-70%。本方法在具有临床意义的浓度范围(94-2250 µg L−1/0.5-18 µM)内呈线性(R2 ≥ 0.9981)。优化方法的定量限为:苯丙酸、苯乳酸、4-羟基苯甲酸和4-羟基苯基乙酸的定量限为:60-100 µg L−1/0.4 ~ 0.7 µM;苯甲酸、4-羟基苯基乳酸、同型香草酸和4-羟基苯基丙酸的定量限为:160 µg L−1/0.9 ~ 1.3 µM。所建立的条件用于测定最复杂基质-危重病人血清样品中苯基羧酸的浓度。将结果与液液萃取法进行比较,发现样品制备时间(45 min vs. 6 min)和血清体积(200 µL vs. 80 µL)缩短。用填充吸附剂和气相色谱-质谱相结合的微萃取方法,特别是在全自动的情况下,可以成为临床诊断败血症的有力工具。
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
Clinical Mass Spectrometry
Clinical Mass Spectrometry Chemistry-Spectroscopy
CiteScore
1.70
自引率
0.00%
发文量
0
期刊介绍: Clinical Mass Spectrometry publishes peer-reviewed articles addressing the application of mass spectrometric technologies in Laboratory Medicine and Clinical Pathology with the focus on diagnostic applications. It is the first journal dedicated specifically to the application of mass spectrometry and related techniques in the context of diagnostic procedures in medicine. The journal has an interdisciplinary approach aiming to link clinical, biochemical and technological issues and results.
期刊最新文献
Mass spectrometry in clinical glycomics: The path from biomarker identification to clinical implementation A proposal for score assignment to characterize biological processes from mass spectral analysis of serum Analysis of urinary VOCs using mass spectrometric methods to diagnose cancer: A review Analysis of 17 fentanyls in plasma and blood by UPLC-MS/MS with interpretation of findings in surgical and postmortem casework Collision energy-breakdown curves – An additional tool to characterize MS/MS 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
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