Optimization of Mobile Phase Modifiers for Fast LC-MS-Based Untargeted Metabolomics and Lipidomics

0569722 - FGÚ 2024 RIV CH eng J - Článek v odborném periodiku
Čajka, Tomáš - Hricko, Jiří - Rudl Kulhavá, Lucie - Paučová, Michaela - Nováková, Michaela - Kuda, Ondřej
Optimization of Mobile Phase Modifiers for Fast LC-MS-Based Untargeted Metabolomics and Lipidomics.
International Journal of Molecular Sciences. Roč. 24, č. 3 (2023), č. článku 1987. E-ISSN 1422-0067
Grant CEP: GA MZd(CZ) NU20-01-00186; GA MZd(CZ) NU22-02-00161; GA MŠMT(CZ) LX22NPO5104; GA MŠMT(CZ) LTAUSA19124; GA ČR(CZ) GA20-21114S; GA ČR(CZ) GA21-00477S
Výzkumná infrastruktura: e-INFRA CZ - 90140
Institucionální podpora: RVO:67985823
Klíčová slova: metabolomics * lipidomics * optimization * liquid chromatography * mass spectrometry * mobile phase * modifiers * additives * LC-MS
Obor OECD: Analytical chemistry
Impakt faktor: 5.6, rok: 2022
Způsob publikování: Open access
https://www.mdpi.com/1422-0067/24/3/1987

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.
Trvalý link: https://hdl.handle.net/11104/0341701