Literature DB >> 33353236

Data-Independent Acquisition for the Quantification and Identification of Metabolites in Plasma.

Tom van der Laan1, Isabelle Boom1, Joshua Maliepaard1, Anne-Charlotte Dubbelman1, Amy C Harms1, Thomas Hankemeier1.   

Abstract

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 MSALL) were used to evaluate the performance of DIA. Our results show that fast chromatography and MSALL 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.

Keywords:  MSALL; SWATH; chromatography; data-independent acquisition; mass spectrometry; metabolomics

Year:  2020        PMID: 33353236      PMCID: PMC7766927          DOI: 10.3390/metabo10120514

Source DB:  PubMed          Journal:  Metabolites        ISSN: 2218-1989


  3 in total

1.  Sensitive Detection of Pharmaceutical Drugs and Metabolites in Serum Using Data-Independent Acquisition Mass Spectrometry and Open-Access Data Acquisition Tools.

Authors:  Syed Muhammad Zaki Shah; Arslan Ali; Muhammad Noman Khan; Adeeba Khadim; Mufarreh Asmari; Jalal Uddin; Syed Ghulam Musharraf
Journal:  Pharmaceuticals (Basel)       Date:  2022-07-21

Review 2.  Insight into chemical basis of traditional Chinese medicine based on the state-of-the-art techniques of liquid chromatography-mass spectrometry.

Authors:  Yang Yu; Changliang Yao; De-An Guo
Journal:  Acta Pharm Sin B       Date:  2021-02-26       Impact factor: 11.413

3.  Impact of the Glycemic Level on the Salivary Proteome of Middle-Aged and Elderly People With Type 2 Diabetes Mellitus: An Observational Study.

Authors:  Shu Yuan Jia; Yan Ling Zhang; Xiang Yu Sun; Chao Yuan; Shu Guo Zheng
Journal:  Front Mol Biosci       Date:  2021-12-10
  3 in total

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