ArticleAnalytical and bioanalytical chemistry2020
Evaluation of lipid quantification accuracy using HILIC and RPLC MS on the example of NIST® SRM® 1950 metabolites in human plasma.
Article in Analytical and bioanalytical chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.
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Who cites it
48 citing papers in PubMed, 89 citations in OpenAlex.
- Standard Reference Material (SRM®) 1950 metabolites in frozen human plasma-use, impact, lessons learned, and future perspectives.Analytical and bioanalytical chemistry · 2026Review
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- Development and validation of a multiplexed targeted HILIC-HRMS assay for quantitative analysis of hepatocellular carcinoma circulating biomarkers.Analytical and bioanalytical chemistry · 2026Article
- Revealing the Fate of Isomeric Monounsaturated Fatty Acids inACS infectious diseases · 2026Article
- Beyond Bulk Metabolomics: Emerging Technologies for Defining Cell-Type Specific Metabolic Pathways in Health and Disease.Biomolecules · 2025Review
- Unified mass imaging maps the lipidome of vertebrate development.Nature methods · 2025Article
- Analytical Approaches to the Rapid Characterisation of Marine Glycolipids in Bioproduct Discovery.Marine drugs · 2025Review
- Sex-specific lipidomic signatures in aortic valve disease reflect differential fibro-calcific progression.Nature communications · 2025Article
- Accurate Determination of Circulatory Lipids Using a Combination of HILIC-MRM and RPLC-PRM.Analytical chemistry · 2025Article
- Clinical lipidomics reveals high individuality and sex specificity of circulatory lipid signatures: a prospective healthy population study.Journal of lipid research · 2025Article
- Comprehensive lipidome of human plasma using minimal sample manipulation by liquid chromatography coupled with mass spectrometry.Rapid communications in mass spectrometry : RCM · 2025Article
- Raman analysis of lipids in cells: Current applications and future prospects.Journal of pharmaceutical analysis · 2025Review
- Application of lipidomics in the study of traditional Chinese medicine.Journal of pharmaceutical analysis · 2025Review
- Comprehensive, Quantitative Analysis of SRM 1950: the NIST Human Plasma Reference Material.Analytical chemistry · 2025Article
- Recommendations for Accurate Lipid Annotation and Semi-absolute Quantification from LC-MS/MS Datasets.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Advancements in Mass Spectrometry-Based Targeted Metabolomics and Lipidomics: Implications for Clinical Research.Molecules (Basel, Switzerland) · 2024Review
- A Comprehensive Analysis of Liver Lipidomics Signature in Adults with Metabolic Dysfunction-Associated Steatohepatitis-A Pilot Study.International journal of molecular sciences · 2024Article
- Tandem Mass Spectrometry in Untargeted Lipidomics: A Case Study of Peripheral Blood Mononuclear Cells.International journal of molecular sciences · 2024Article
- Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards.Nature communications · 2024Article
- Untargeted Blood Lipidomics Analysis in Critically Ill Pediatric Patients with Ventilator-Associated Pneumonia: A Pilot Study.Metabolites · 2024Article
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2 authors at 1 institution in 1 country.
Funding
Abstract
Lipidomics analysis for large-scale studies aiming at the identification and quantification of natural lipidomes is often performed using LC-MS-based data acquisition. However, the choice of suitable LC-MS method for accurate lipid quantification remains a matter of debate. Here, we performed the systematic comparison between two HRAM-MS-based quantification workflows based on HILIC and RPLC MS by quantifying 191 lipids from five lipid classes in human blood plasma using deuterated standards in the "one ISTD-per-lipid class" approach. Lipid quantification was performed considering all necessary isotopic corrections, and obtained correction factors are illustrated. Concentrations of lipids in NIST® SRM® 1950 human blood plasma determined by the two methods were comparable for most of the studied lipid species except for highly unsaturated phosphatidylcholines (PC). A comparison of lipid concentrations to consensus values determined in a previously published multi-laboratory study illustrated possible "overestimation" of concentrations for these highly unsaturated lipids by HILIC MS. We evaluated the influence of lipid loading amounts as well as the difference between quantified lipid and internal standard concentrations on the HILIC MS quantification results. We conclude that both HILIC and RPLC HRAM-MS workflows can be equally used for accurate lysophosphatidylcholine (LPC), lysophosphatidylethanolamine (LPE), phosphatidylcholine (PC), phosphatidylethanolamine (PE), and sphingomyelin (SM) lipid quantification, despite significant differences in the concentration of highly unsaturated PC lipids which need to be addressed by establishing response factors to account for the differences in degree of lipid unsaturation. Graphical.
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