Literature DB >> 36152166

Instrument-Agnostizing Methodology for Liquid Chromatography-Mass Spectrometry Systems.

Rosalía López-Ruíz1, Sandra Martín-Torres2, Ana M Jiménez-Carvelo3, Roberto Romero-González4, Luis Cuadros-Rodríguez3.   

Abstract

Mass spectrometry is a powerful analytical technique used to identify unknown compounds, to quantify known compounds, and to elucidate the structure and chemical properties of molecules. Nevertheless, the transfer of data from one instrument to another is one of the main problems, and obtaining the same or similar information from an analogous instrument but from a different manufacturer or even with the same instrument after carrying out the analyses in different times spacing is not possible. Hence, a general methodology to provide a chromatographic signal (or chromatogram) independent of the instrument is needed. In this sense, this book chapter describes the standardization procedure of chromatographic signals obtained from mass spectrometry platforms to obtain instrument-agnostic chromatographic signals for the determination of standard retention scores. This parameter may be used for the quantification of compounds when different mass spectrometry platforms coupled to ultrahigh-performance liquid chromatography are employed.
© 2023. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Instrument-agnostizing methodology; Instrument-independent analytical signals; Mass spectrometry; Standardized chromatogram

Mesh:

Year:  2023        PMID: 36152166     DOI: 10.1007/978-1-0716-2699-3_22

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  3 in total

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Journal:  Brief Bioinform       Date:  2013-11-21       Impact factor: 11.622

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Journal:  Chemosphere       Date:  2019-03-19       Impact factor: 7.086

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Authors:  Steven J Lehotay; Kyung Ae Son; Hyeyoung Kwon; Urairat Koesukwiwat; Wusheng Fu; Katerina Mastovska; Eunha Hoh; Natchanun Leepipatpiboon
Journal:  J Chromatogr A       Date:  2010-01-22       Impact factor: 4.759

  3 in total

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