Ulmer, C.
, Ragland, J.
, Koelmel, J.
, Heckert, N.
, Jones, C.
, Garrett, T.
, Yost, R.
and Bowden, J.
(2017),
LipidQC: Method Validation Tool for Visual Comparison to SRM 1950 Using NIST Interlaboratory Comparison Exercise Lipid Consensus Mean Estimate Values, Analytical Chemistry, [online], https://doi.org/10.1021/acs.analchem.7b04042
(Accessed October 7, 2025)
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LipidQC: Method Validation Tool for Visual Comparison to SRM 1950 Using NIST Interlaboratory Comparison Exercise Lipid Consensus Mean Estimate Values
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Author(s)
, , Jeremy P. Koelmel, , , Timothy J. Garrett, Richard A. Yost,
Abstract
As advances in analytical separation techniques, mass spectrometry instrumentation, and data processing platforms continue to spur growth in the lipidomics field, more structurally unique lipid species are detected and annotated. The lipidomics community is in need of benchmark reference values to assess the validity of various lipidomics workflows in providing accurate quantitative measurements across the diverse lipidome. LipidQC addresses the harmonization challenge in lipid quantitation by providing a semi-automated process, independent of analytical platform, for visual comparison of experimental results of NIST SRM 1950 Metabolites in Frozen Human Plasma against benchmark consensus mean concentrations derived from the NIST Lipidomics Interlaboratory Comparison Exercise.Citation
Analytical Chemistry
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Created November 16, 2017, Updated October 12, 2021