Optimization of the Sulfo-Phospho-Vanillin Assay for Total Lipid Normalization in Untargeted Quantitative Lipidomic LC-MS/MS Applications.
Laura S BaileyDilip V PrajapatiKari B BassoPublished in: Analytical chemistry (2022)
Liquid chromatography (LC)-mass spectrometry (MS)/MS lipidomic normalization is generally performed by equalizing pre-extraction sample materials or via DNA or protein pre-quantitation methods, which have known measurement inaccuracies. We propose the use of the sulfo-phospho-vanillin assay (SPVA), a total lipid colorimetric analysis, as a pre-quantitation method to normalize lipids in lipidomic LC-MS/MS applications. The assay has been applied to a 300 μL well volume in a 96-well plate and tested using Avanti total lipid standards of porcine brain and E. coli . Assay parameters for lipid sample volume, sulfuric acid, vanillin/phosphoric acid, post-reaction incubation time, and wavelength are optimized for robust application to biologically sourced lipid samples. Standard test samples were prepared using three concentrations covering approximately 100 μg/mL range. The optimized assay yielded test sample errors less than 10%, indicating a precise and accurate assay performance. The test samples were then analyzed by LC-MS/MS and normalized using SPVA pre-quantitation and pseudo-mass normalization. The detected lipids showed smaller standard deviations and greater relative concentration differences compared to the pseudo-mass normalized lipids, showing promise as a normalization method.
Keyphrases
- mass spectrometry
- liquid chromatography
- ms ms
- high throughput
- fatty acid
- tandem mass spectrometry
- high resolution mass spectrometry
- high resolution
- high performance liquid chromatography
- simultaneous determination
- liquid chromatography tandem mass spectrometry
- gas chromatography
- ultra high performance liquid chromatography
- escherichia coli
- solid phase extraction
- patient safety
- nitric oxide
- single cell
- subarachnoid hemorrhage
- gas chromatography mass spectrometry
- functional connectivity
- protein protein
- electronic health record
- amino acid