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LipidQC: Method Validation Tool for Visual Comparison to SRM 1950 Using NIST Interlaboratory Comparison Exercise
Candice Z Ulmer1, Jared M Ragland1, Jeremy P Koelmel2
1Chemical Sciences Division, Marine Biochemical Sciences Group, Hollings Marine Laboratory, National Institute of Standards and Technology , 331 Fort Johnson Road, Charleston, South Carolina 29412, United States.
LipidQC offers a semiautomated method for harmonizing lipid quantitation across diverse analytical platforms. This tool compares experimental lipidomics data against established consensus values for accurate measurements.
Area of Science:
- Analytical Chemistry
- Biochemistry
- Metabolomics
Background:
- Lipidomics is rapidly advancing, leading to the discovery of novel lipid species.
- Accurate lipid quantitation is crucial for validating lipidomics workflows.
- The field lacks standardized benchmark reference values for lipid measurements.
Purpose of the Study:
- To address the challenge of lipid quantitation harmonization in lipidomics.
- To provide a method for assessing the accuracy of lipidomics workflows.
- To enable visual comparison of experimental lipidomics data against consensus values.
Main Methods:
- Development of LipidQC, a semiautomated process for lipid quantitation.
- Utilizing National Institute of Standards and Technology (NIST) Standard Reference Material (SRM) 1950, "Metabolites in Frozen Human Plasma".
- Comparing experimental results against benchmark consensus mean concentrations from the NIST Lipidomics Interlaboratory Comparison Exercise.
Main Results:
- LipidQC provides a platform-independent method for lipid quantitation.
- The process facilitates visual comparison of experimental data against established reference values.
- Enables assessment of lipidomics workflow validity and accuracy.
Conclusions:
- LipidQC aids in harmonizing lipid quantitation across different analytical platforms.
- It supports the accurate measurement of diverse lipid species within the lipidome.
- Facilitates improved reliability and comparability of lipidomics data.
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