一种分离疾病标志物的新方法:采用增强采样和LC-ESI-MS对睡眠呼吸暂停患者呼出物中的氨基酸进行定量分析

IF 2.8 3区 工程技术 Q2 CHEMISTRY, ANALYTICAL
Anna Kaliszewska, Piotr Struczyński, Sylwia Kwiatkowska, Daruisz Nowak, Tomasz Bączek, Lucyna Konieczna
{"title":"一种分离疾病标志物的新方法:采用增强采样和LC-ESI-MS对睡眠呼吸暂停患者呼出物中的氨基酸进行定量分析","authors":"Anna Kaliszewska,&nbsp;Piotr Struczyński,&nbsp;Sylwia Kwiatkowska,&nbsp;Daruisz Nowak,&nbsp;Tomasz Bączek,&nbsp;Lucyna Konieczna","doi":"10.1002/jssc.70079","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>Interest in obstructive sleep apnea is rising due to its neurocognitive and cardiovascular impacts, including systemic hypertension, myocardial infarction, and cerebrovascular events. Obstructive sleep apnea diagnosis can be suggested through symptoms like snoring, daytime sleepiness, and physical signs like increased neck circumference; however, overnight polysomnography is recommended to confirm. Exhaled breath condensate has emerged as a novel, noninvasive technique for biomarker sample collection. It is simple, rapid, repeatable, and suitable for young children and severely ill patients. A direct method using liquid chromatography–mass spectrometry coupled with hydrophilic interaction chromatography was established for quantitative analysis of amino acids in human exhaled breath condensate samples. The separation was performed using XBridge Amide BEH column and a mobile phase of ammonium formate buffer in gradient conditions. The method exhibited a low detection limit (0.08–1.28 ng/mL), good linearity (<i>R</i><sup>2</sup> between 0.9909 and 0.9987), and high recoveries (93–101.3%) for 21 studied amino acids with interday RSD of 2.1–7.7%. The LC-MS method was verified and applied to determine amino acids in exhaled breath condensate samples from obstructive sleep apnea patients, offering fast, reliable analysis without derivatization as a noninvasive alternative to standard methods.</p>\n </div>","PeriodicalId":17098,"journal":{"name":"Journal of separation science","volume":"48 1","pages":""},"PeriodicalIF":2.8000,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Novel Approach to the Isolation of Disease Markers: Quantitative Analysis of Amino Acids in Exhaled Breath Condensates from Sleep Apnea Patients with Enhanced Sampling and LC-ESI-MS\",\"authors\":\"Anna Kaliszewska,&nbsp;Piotr Struczyński,&nbsp;Sylwia Kwiatkowska,&nbsp;Daruisz Nowak,&nbsp;Tomasz Bączek,&nbsp;Lucyna Konieczna\",\"doi\":\"10.1002/jssc.70079\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <p>Interest in obstructive sleep apnea is rising due to its neurocognitive and cardiovascular impacts, including systemic hypertension, myocardial infarction, and cerebrovascular events. Obstructive sleep apnea diagnosis can be suggested through symptoms like snoring, daytime sleepiness, and physical signs like increased neck circumference; however, overnight polysomnography is recommended to confirm. Exhaled breath condensate has emerged as a novel, noninvasive technique for biomarker sample collection. It is simple, rapid, repeatable, and suitable for young children and severely ill patients. A direct method using liquid chromatography–mass spectrometry coupled with hydrophilic interaction chromatography was established for quantitative analysis of amino acids in human exhaled breath condensate samples. The separation was performed using XBridge Amide BEH column and a mobile phase of ammonium formate buffer in gradient conditions. The method exhibited a low detection limit (0.08–1.28 ng/mL), good linearity (<i>R</i><sup>2</sup> between 0.9909 and 0.9987), and high recoveries (93–101.3%) for 21 studied amino acids with interday RSD of 2.1–7.7%. The LC-MS method was verified and applied to determine amino acids in exhaled breath condensate samples from obstructive sleep apnea patients, offering fast, reliable analysis without derivatization as a noninvasive alternative to standard methods.</p>\\n </div>\",\"PeriodicalId\":17098,\"journal\":{\"name\":\"Journal of separation science\",\"volume\":\"48 1\",\"pages\":\"\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2025-01-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of separation science\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/jssc.70079\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, ANALYTICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of separation science","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/jssc.70079","RegionNum":3,"RegionCategory":"工程技术","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

由于其神经认知和心血管影响,包括全身性高血压、心肌梗死和脑血管事件,对阻塞性睡眠呼吸暂停的兴趣正在上升。阻塞性睡眠呼吸暂停可以通过打鼾、白天嗜睡等症状和颈围增加等体征来诊断;然而,建议采用夜间多导睡眠图来确认。呼气冷凝物已成为一种新型的、无创的生物标志物样本收集技术。该方法简便、快速、可重复,适用于幼儿和重症患者。建立了液相色谱-质谱联用亲水相互作用色谱法定量分析人体呼出液中氨基酸的方法。采用XBridge Amide BEH色谱柱和流动相甲酸铵缓冲液在梯度条件下进行分离。该方法检测限低(0.08 ~ 1.28 ng/mL),线性良好(R2为0.9909 ~ 0.9987),回收率高(93 ~ 101.3%),日间RSD为2.1 ~ 7.7%。验证了LC-MS方法,并将其应用于测定阻塞性睡眠呼吸暂停患者呼出冷凝水样品中的氨基酸,提供快速,可靠的分析,无需衍生化,作为标准方法的无创替代方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Novel Approach to the Isolation of Disease Markers: Quantitative Analysis of Amino Acids in Exhaled Breath Condensates from Sleep Apnea Patients with Enhanced Sampling and LC-ESI-MS

Interest in obstructive sleep apnea is rising due to its neurocognitive and cardiovascular impacts, including systemic hypertension, myocardial infarction, and cerebrovascular events. Obstructive sleep apnea diagnosis can be suggested through symptoms like snoring, daytime sleepiness, and physical signs like increased neck circumference; however, overnight polysomnography is recommended to confirm. Exhaled breath condensate has emerged as a novel, noninvasive technique for biomarker sample collection. It is simple, rapid, repeatable, and suitable for young children and severely ill patients. A direct method using liquid chromatography–mass spectrometry coupled with hydrophilic interaction chromatography was established for quantitative analysis of amino acids in human exhaled breath condensate samples. The separation was performed using XBridge Amide BEH column and a mobile phase of ammonium formate buffer in gradient conditions. The method exhibited a low detection limit (0.08–1.28 ng/mL), good linearity (R2 between 0.9909 and 0.9987), and high recoveries (93–101.3%) for 21 studied amino acids with interday RSD of 2.1–7.7%. The LC-MS method was verified and applied to determine amino acids in exhaled breath condensate samples from obstructive sleep apnea patients, offering fast, reliable analysis without derivatization as a noninvasive alternative to standard 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
Journal of separation science
Journal of separation science 化学-分析化学
CiteScore
6.30
自引率
16.10%
发文量
408
审稿时长
1.8 months
期刊介绍: The Journal of Separation Science (JSS) is the most comprehensive source in separation science, since it covers all areas of chromatographic and electrophoretic separation methods in theory and practice, both in the analytical and in the preparative mode, solid phase extraction, sample preparation, and related techniques. Manuscripts on methodological or instrumental developments, including detection aspects, in particular mass spectrometry, as well as on innovative applications will also be published. Manuscripts on hyphenation, automation, and miniaturization are particularly welcome. Pre- and post-separation facets of a total analysis may be covered as well as the underlying logic of the development or application of a method.
×
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