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PMID: 24820162 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Objective set of criteria for optimization of sample preparation procedures for ultra-high throughput untargeted blood plasma lipid profiling by ultra performance liquid chromatography-mass spectrometry.

Analytical chemistry ·Vol. 86 ·No. 12 ·2014-06-17 ·Pages 5766-74

Sarafian MH, Gaudin M, Lewis MR, Martin FP, Holmes E, Nicholson JK, Dumas ME

Abstract

Exploratory or untargeted ultra performance liquid chromatography-mass spectrometry (UPLC-MS) profiling offers an overview of the complex lipid species diversity present in blood plasma. Here, we evaluate and compare eight sample preparation protocols for optimized blood plasma lipid extraction and measurement by UPLC-MS lipid profiling, including four protein precipitation methods (i.e., methanol, acetonitrile, isopropanol, and isopropanol-acetonitrile) and four liquid-liquid extractions (i.e., methanol combined with chloroform, dichloromethane, and methyl-tert butyl ether and isopropanol with hexane). The eight methods were then benchmarked using a set of qualitative and quantitative criteria selected to warrant compliance with high-throughput analytical workflows: protein removal efficiency, selectivity, repeatability, and recovery efficiency of the sample preparation. We found that protein removal was more efficient by precipitation (99%) than extraction (95%). Additionally, isopropanol appeared to be the most straightforward and robust solvent (61.1% of features with coefficient of variation (CV) < 20%) while enabling a broad coverage and recovery of plasma lipid species. These results demonstrate that isopropanol precipitation is an excellent sample preparation procedure for high-throughput untargeted lipid profiling using UPLC-MS. Isopropanol precipitation is not limited to untargeted profiling and could also be of interest for targeted UPLC-MS/MS lipid analysis. Collectively, these data show that lipid profiling greatly benefits from an isopropanol precipitation in terms of simplicity, protein removal efficiency, repeatability, lipid recovery, and coverage.

MeSH Terms
High-Throughput Screening Assays Humans Lipids/blood Plasma
Chemicals
Lipids
Authors & Affiliations
7 authors, click to expand affiliations / ORCID
Sarafian Magali H
Imperial College London , Section of Biomolecular Medicine, Division of Computational Systems Medicine, Department of Surgery and Cancer, Sir Alexander Building, Exhibition Road, South Kensington, London SW7 2AZ, U.K.
Gaudin Mathieu
Lewis Matthew R
Martin Francois-Pierre
Holmes Elaine
Nicholson Jeremy K
Dumas Marc-Emmanuel
Article Info
Journal
Analytical chemistry
Abbr.
Anal Chem
ISSN
1520-6882
Published
2014-06-17
Epub
2014-00-02
Pages
5766-74
Language
English
Region
United States
NLM ID
0370536
Subset
IM
Grants
Medical Research Council · MC_PC_12025 · United Kingdom
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