这是我们所知的干血迹的终结吗?

IF 4.1 Q2 CHEMISTRY, ANALYTICAL
Trine Grønhaug Halvorsen, Léon Reubsaet
{"title":"这是我们所知的干血迹的终结吗?","authors":"Trine Grønhaug Halvorsen,&nbsp;Léon Reubsaet","doi":"10.1002/ansa.202300006","DOIUrl":null,"url":null,"abstract":"<p>In 2017 integrated sampling and sample preparation for simplified liquid chromatography-mass spectrometry analysis of proteins from dried blood spots were introduced. The concept, called smart samplers or smart sampling, enables proteolysis or affinity clean-up, two common sample preparation steps in liquid chromatography-mass spectrometric bioanalysis of proteins, to start at the moment of sampling. The idea is to utilize the time for sampling and drying to perform these time-consuming and labour-intensive steps. Hence, only a simplified sample preparation is necessary after the arrival of the sample in the lab. In this perspective, we present an overview of the smart sampling approach where the conventional protein analysis workflow is reshuffled to start already prior to arrival in the lab. In addition, we present a thorough discussion of integrating sample preparation steps such as proteolysis or affinity capture in the sampling. Finally, in the end, we try to answer the question if conventional dried blood spots will become obsolete in the future.</p>","PeriodicalId":93411,"journal":{"name":"Analytical science advances","volume":"4 7-8","pages":"267-274"},"PeriodicalIF":4.1000,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ansa.202300006","citationCount":"0","resultStr":"{\"title\":\"Is this the end of dried blood spots as we know it?\",\"authors\":\"Trine Grønhaug Halvorsen,&nbsp;Léon Reubsaet\",\"doi\":\"10.1002/ansa.202300006\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>In 2017 integrated sampling and sample preparation for simplified liquid chromatography-mass spectrometry analysis of proteins from dried blood spots were introduced. The concept, called smart samplers or smart sampling, enables proteolysis or affinity clean-up, two common sample preparation steps in liquid chromatography-mass spectrometric bioanalysis of proteins, to start at the moment of sampling. The idea is to utilize the time for sampling and drying to perform these time-consuming and labour-intensive steps. Hence, only a simplified sample preparation is necessary after the arrival of the sample in the lab. In this perspective, we present an overview of the smart sampling approach where the conventional protein analysis workflow is reshuffled to start already prior to arrival in the lab. In addition, we present a thorough discussion of integrating sample preparation steps such as proteolysis or affinity capture in the sampling. Finally, in the end, we try to answer the question if conventional dried blood spots will become obsolete in the future.</p>\",\"PeriodicalId\":93411,\"journal\":{\"name\":\"Analytical science advances\",\"volume\":\"4 7-8\",\"pages\":\"267-274\"},\"PeriodicalIF\":4.1000,\"publicationDate\":\"2023-07-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ansa.202300006\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Analytical science advances\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/ansa.202300006\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, ANALYTICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Analytical science advances","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/ansa.202300006","RegionNum":0,"RegionCategory":null,"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

2017年引入了简化液相色谱-质谱法分析干血斑蛋白质的集成采样和样品制备方法。这个被称为智能采样器或智能采样的概念,使蛋白水解或亲和清理(液相色谱-质谱生物分析蛋白质的两个常见样品制备步骤)从采样的那一刻开始。这个想法是利用采样和干燥的时间来执行这些耗时和劳动密集型的步骤。因此,在样品到达实验室后,只需要进行简化的样品制备。从这个角度来看,我们提出了智能采样方法的概述,其中传统的蛋白质分析工作流程被重新洗刷,以便在到达实验室之前就开始。此外,我们提出了一个全面的讨论整合样品制备步骤,如蛋白质水解或亲和捕获在采样。最后,在最后,我们试图回答这样一个问题,即传统的干血斑在未来是否会过时。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Is this the end of dried blood spots as we know it?

Is this the end of dried blood spots as we know it?

In 2017 integrated sampling and sample preparation for simplified liquid chromatography-mass spectrometry analysis of proteins from dried blood spots were introduced. The concept, called smart samplers or smart sampling, enables proteolysis or affinity clean-up, two common sample preparation steps in liquid chromatography-mass spectrometric bioanalysis of proteins, to start at the moment of sampling. The idea is to utilize the time for sampling and drying to perform these time-consuming and labour-intensive steps. Hence, only a simplified sample preparation is necessary after the arrival of the sample in the lab. In this perspective, we present an overview of the smart sampling approach where the conventional protein analysis workflow is reshuffled to start already prior to arrival in the lab. In addition, we present a thorough discussion of integrating sample preparation steps such as proteolysis or affinity capture in the sampling. Finally, in the end, we try to answer the question if conventional dried blood spots will become obsolete in the future.

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
CiteScore
4.60
自引率
0.00%
发文量
0
×
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:604180095
Book学术官方微信