RIBEIRO, Luiz Fernando and Jiří URBAN. Recent stationary phase-based fractionation strategies in proteomic analysis. Journal of Separation Science. Weinheim: Wiley-VCH GmbH, 2023, vol. 46, No 15, p. 1-31. ISSN 1615-9306. Available from: https://dx.doi.org/10.1002/jssc.202300174.
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Basic information
Original name Recent stationary phase-based fractionation strategies in proteomic analysis
Authors RIBEIRO, Luiz Fernando (76 Brazil, guarantor, belonging to the institution) and Jiří URBAN (203 Czech Republic, belonging to the institution).
Edition Journal of Separation Science, Weinheim, Wiley-VCH GmbH, 2023, 1615-9306.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10406 Analytical chemistry
Country of publisher Germany
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 3.100 in 2022
RIV identification code RIV/00216224:14310/23:00130987
Organization unit Faculty of Science
Doi http://dx.doi.org/10.1002/jssc.202300174
UT WoS 000998818400001
Keywords in English liquid chromatography; offline; online; proteomics; multidimensional
Tags rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Pavla Foltynová, Ph.D., učo 106624. Changed: 22/3/2024 14:16.
Abstract
In this article, we review stationary phase-assisted sample prefractionation in proteomic analysis in 2019-2022 period. Applications are grouped according to the mode of retention used in the prefractionation step prior to the final analysis by low-pH reversed-phase liquid chromatography-tandem mass spectrometry. Online or offline instrumental configurations are also commented on, with a highlight on novel online platforms. From the articles reviewed in this period, the order of popularity of chromatographic modes for sample fractionation is affinity chromatography > size exclusion chromatography > hydrophilic interaction chromatography > high-pH reversed-phase liquid chromatography > ion exchange chromatography.
Links
EF18_053/0016952, research and development projectName: Postdoc2MUNI
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