Advancing untargeted metabolomics using data-independent acquisition mass spectrometry technology

• Published in: Analytical and bioanalytical chemistry Vol. 411; no. 19; pp. 4349 - 4357
• Main Authors: Wang, Ruohong, Yin, Yandong, Zhu, Zheng-Jiang
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2019; Springer; Springer Nature B.V
• Subjects: Analytical Chemistry; Biochemistry; Characterization and Evaluation of Materials; Chemistry; Chemistry and Materials Science; Comparative analysis; Data analysis; Data processing; Food Science; Information management; Ions; Laboratory Medicine; Liquid chromatography; Mass spectrometry; Mass spectroscopy; Metabolites; Metabolomics; Monitoring/Environmental Analysis; Scientific imaging; Spectroscopy; Trends; Young Investigators in (Bio-)Analytical Chemistry; Mass spectrometry; Data-independent acquisition; Untargeted metabolomics
• ISSN: 1618-2642; 1618-2650
• DOI: 10.1007/s00216-019-01709-1

Metabolomics quantitatively measures metabolites in a given biological system and facilitates the understanding of physiological and pathological activities. With the recent advancement of mass spectrometry (MS) technology, liquid chromatography-mass spectrometry (LC-MS) with data-independent acquisition (DIA) has been emerged as a powerful technology for untargeted metabolomics due to its capability to acquire all MS2 spectra and high quantitative accuracy. In this trend article, we first introduced the basic principles of several common DIA techniques including MS E , all ion fragmentation (AIF), SWATH, and MSX. Then, we summarized and compared the data analysis strategies to process DIA-based untargeted metabolomics data, including metabolite identification and quantification. We think the advantages of the DIA technique will enable its broad application in untargeted metabolomics.