This study describes the effectiveness of post-acquisition data processing techniques in detecting the lipid species rapidly from the massive data generated by high resolution mass spectrometry. The filtering approaches by product ions or neutral losses enabled glycerophospholipids and sterol conjugates to be identified based on the investigation of their fragmentation patterns, and the filtration by mass defect facilitated the detection of fatty acyl residues and bile acids by limiting the range of mass defect values. After application of these filtering techniques to mass spectra, the background noise was significantly filtered out and characteristic peaks of lipid species were efficiently sorted out. Totally 145 individual lipids were identified and structurally elucidated. Validation results of the LCMS-Q-TOF-based quantitative performance for all the peaks showed that the accuracy, expressed as relative errors (RE%), was lower than ±15%, and values (RSD%) of the inter-batch and intra-batch precision were lower than 15% in the assay. The developed method was integrated to the evaluation of plasma lipid profile from high fat diet versus energy restricted diet fed rats. A unique discrimination of the groups was successfully achieved through a principal component analysis (PCA).
Copyright © 2012. Published by Elsevier B.V.