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Exploring the Impact of Organic Solvent Quality and Unusual Adduct Formation during LC-MS-Based Lipidomic Profiling
T. Cajka, J. Hricko, L. Rudl Kulhava, M. Paucova, M. Novakova, O. Fiehn, O. Kuda
Status neindexováno Jazyk angličtina Země Švýcarsko
Typ dokumentu časopisecké články
Grantová podpora
NU20-01-00186
Ministry of Health
NU22-02-00161
Ministry of Health
21-00477S
Czech Science Foundation
LTAUSA19124
Ministry of Education Youth and Sports
LX22NPO5104
Ministry of Education Youth and Sports
LQ200111901
Czech Academy of Sciences
Free Medical Journals od 2011
PubMed Central od 2011
Europe PubMed Central od 2011
ProQuest Central od 2011-01-01
Open Access Digital Library od 2011-01-01
Open Access Digital Library od 2011-01-01
ROAD: Directory of Open Access Scholarly Resources od 2011
Odkazy
PubMed
37755246
DOI
10.3390/metabo13090966
Knihovny.cz E-zdroje
- Publikační typ
- časopisecké články MeSH
Liquid chromatography-mass spectrometry (LC-MS) is the key technique for analyzing complex lipids in biological samples. Various LC-MS modes are used for lipid separation, including different stationary phases, mobile-phase solvents, and modifiers. Quality control in lipidomics analysis is crucial to ensuring the generated data's reliability, reproducibility, and accuracy. While several quality control measures are commonly discussed, the impact of organic solvent quality during LC-MS analysis is often overlooked. Additionally, the annotation of complex lipids remains prone to biases, leading to potential misidentifications and incomplete characterization of lipid species. In this study, we investigate how LC-MS-grade isopropanol from different vendors may influence the quality of the mobile phase used in LC-MS-based untargeted lipidomic profiling of biological samples. Furthermore, we report the occurrence of an unusual, yet highly abundant, ethylamine adduct [M+46.0651]+ that may form for specific lipid subclasses during LC-MS analysis in positive electrospray ionization mode when acetonitrile is part of the mobile phase, potentially leading to lipid misidentification. These findings emphasize the importance of considering solvent quality in LC-MS analysis and highlight challenges in lipid annotation.
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