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Optimization of Mobile Phase Modifiers for Fast LC-MS-Based Untargeted Metabolomics and Lipidomics
T. Cajka, J. Hricko, L. Rudl Kulhava, M. Paucova, M. Novakova, O. Kuda
Jazyk angličtina Země Švýcarsko
Typ dokumentu časopisecké články
NLK
Free Medical Journals
od 2000
Freely Accessible Science Journals
od 2000
PubMed Central
od 2007
Europe PubMed Central
od 2007
ProQuest Central
od 2000-03-01
Open Access Digital Library
od 2000-01-01
Open Access Digital Library
od 2007-01-01
Health & Medicine (ProQuest)
od 2000-03-01
ROAD: Directory of Open Access Scholarly Resources
od 2000
PubMed
36768308
DOI
10.3390/ijms24031987
Knihovny.cz E-zdroje
- MeSH
- chromatografie kapalinová metody MeSH
- formiáty MeSH
- hmotnostní spektrometrie s elektrosprejovou ionizací metody MeSH
- kyselina octová MeSH
- lipidomika * MeSH
- metabolomika metody MeSH
- tandemová hmotnostní spektrometrie * metody MeSH
- Publikační typ
- časopisecké články MeSH
Liquid chromatography-mass spectrometry (LC-MS) is the method of choice for the untargeted profiling of biological samples. A multiplatform LC-MS-based approach is needed to screen polar metabolites and lipids comprehensively. Different mobile phase modifiers were tested to improve the electrospray ionization process during metabolomic and lipidomic profiling. For polar metabolites, hydrophilic interaction LC using a mobile phase with 10 mM ammonium formate/0.125% formic acid provided the best performance for amino acids, biogenic amines, sugars, nucleotides, acylcarnitines, and sugar phosphate, while reversed-phase LC (RPLC) with 0.1% formic acid outperformed for organic acids. For lipids, RPLC using a mobile phase with 10 mM ammonium formate or 10 mM ammonium formate with 0.1% formic acid permitted the high signal intensity of various lipid classes ionized in ESI(+) and robust retention times. For ESI(-), the mobile phase with 10 mM ammonium acetate with 0.1% acetic acid represented a reasonable compromise regarding the signal intensity of the detected lipids and the stability of retention times compared to 10 mM ammonium acetate alone or 0.02% acetic acid. Collectively, we show that untargeted methods should be evaluated not only on the total number of features but also based on common metabolites detected by a specific platform along with the long-term stability of retention times.
Citace poskytuje Crossref.org
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