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Data-Independent Acquisition for the Quantification and Identification of Metabolites in Plasma
A popular fragmentation technique for non-targeted analysis is called data-independent acquisition (DIA), because it provides fragmentation data for all analytes in a specific mass range. In this work, we demonstrated the strengths and weaknesses of DIA. Two types of chromatography (fractionation/3...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7766927/ https://www.ncbi.nlm.nih.gov/pubmed/33353236 http://dx.doi.org/10.3390/metabo10120514 |
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author | van der Laan, Tom Boom, Isabelle Maliepaard, Joshua Dubbelman, Anne-Charlotte Harms, Amy C. Hankemeier, Thomas |
author_facet | van der Laan, Tom Boom, Isabelle Maliepaard, Joshua Dubbelman, Anne-Charlotte Harms, Amy C. Hankemeier, Thomas |
author_sort | van der Laan, Tom |
collection | PubMed |
description | A popular fragmentation technique for non-targeted analysis is called data-independent acquisition (DIA), because it provides fragmentation data for all analytes in a specific mass range. In this work, we demonstrated the strengths and weaknesses of DIA. Two types of chromatography (fractionation/3 min and hydrophilic interaction liquid chromatography (HILIC)/18 min) and three DIA protocols (variable sequential window acquisition of all theoretical mass spectra (SWATH), fixed SWATH and MS(ALL)) were used to evaluate the performance of DIA. Our results show that fast chromatography and MS(ALL) often results in product ion overlap and complex MS/MS spectra, which reduces the quantitative and qualitative power of these DIA protocols. The combination of SWATH and HILIC allowed for the correct identification of 20 metabolites using the NIST library. After SWATH window customization (i.e., variable SWATH), we were able to quantify ten structural isomers with a mean accuracy of 103% (91–113%). The robustness of the variable SWATH and HILIC method was demonstrated by the accurate quantification of these structural isomers in 10 highly diverse blood samples. Since the combination of variable SWATH and HILIC results in good quantitative and qualitative fragmentation data, it is promising for both targeted and untargeted platforms. This should decrease the number of platforms needed in metabolomics and increase the value of a single analysis. |
format | Online Article Text |
id | pubmed-7766927 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-77669272020-12-28 Data-Independent Acquisition for the Quantification and Identification of Metabolites in Plasma van der Laan, Tom Boom, Isabelle Maliepaard, Joshua Dubbelman, Anne-Charlotte Harms, Amy C. Hankemeier, Thomas Metabolites Article A popular fragmentation technique for non-targeted analysis is called data-independent acquisition (DIA), because it provides fragmentation data for all analytes in a specific mass range. In this work, we demonstrated the strengths and weaknesses of DIA. Two types of chromatography (fractionation/3 min and hydrophilic interaction liquid chromatography (HILIC)/18 min) and three DIA protocols (variable sequential window acquisition of all theoretical mass spectra (SWATH), fixed SWATH and MS(ALL)) were used to evaluate the performance of DIA. Our results show that fast chromatography and MS(ALL) often results in product ion overlap and complex MS/MS spectra, which reduces the quantitative and qualitative power of these DIA protocols. The combination of SWATH and HILIC allowed for the correct identification of 20 metabolites using the NIST library. After SWATH window customization (i.e., variable SWATH), we were able to quantify ten structural isomers with a mean accuracy of 103% (91–113%). The robustness of the variable SWATH and HILIC method was demonstrated by the accurate quantification of these structural isomers in 10 highly diverse blood samples. Since the combination of variable SWATH and HILIC results in good quantitative and qualitative fragmentation data, it is promising for both targeted and untargeted platforms. This should decrease the number of platforms needed in metabolomics and increase the value of a single analysis. MDPI 2020-12-18 /pmc/articles/PMC7766927/ /pubmed/33353236 http://dx.doi.org/10.3390/metabo10120514 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article van der Laan, Tom Boom, Isabelle Maliepaard, Joshua Dubbelman, Anne-Charlotte Harms, Amy C. Hankemeier, Thomas Data-Independent Acquisition for the Quantification and Identification of Metabolites in Plasma |
title | Data-Independent Acquisition for the Quantification and Identification of Metabolites in Plasma |
title_full | Data-Independent Acquisition for the Quantification and Identification of Metabolites in Plasma |
title_fullStr | Data-Independent Acquisition for the Quantification and Identification of Metabolites in Plasma |
title_full_unstemmed | Data-Independent Acquisition for the Quantification and Identification of Metabolites in Plasma |
title_short | Data-Independent Acquisition for the Quantification and Identification of Metabolites in Plasma |
title_sort | data-independent acquisition for the quantification and identification of metabolites in plasma |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7766927/ https://www.ncbi.nlm.nih.gov/pubmed/33353236 http://dx.doi.org/10.3390/metabo10120514 |
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