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Updated: May 6, 2026
Multi-step Preparation Technique to Recover Multiple Metabolite Compound Classes for In-depth and Informative Metabolomic Analysis
Published on: July 11, 2014
Development of a Standard Reference Material for metabolomics research.
Karen W Phinney1, Guillaume Ballihaut, Mary Bedner
1Biomolecular Measurement Division, #Chemical Sciences Division, and □Biosystems and Biomaterials Division, National Institute of Standards and Technology , Gaithersburg, Maryland 20899, United States.
The National Institute of Standards and Technology (NIST) released Standard Reference Material (SRM) 1950, a human plasma reference material for metabolomics research. This SRM supports technology development by providing characterized concentrations of approximately 100 analytes.
Area of Science:
- Metabolomics
- Biochemistry
- Analytical Chemistry
Background:
- Metabolomics research requires reliable reference materials for accurate data analysis.
- Existing reference materials may not adequately represent the complexity of human plasma metabolites.
Purpose of the Study:
- To develop and characterize a Standard Reference Material (SRM) for metabolomics research.
- SRM 1950 provides representative metabolite concentrations for adult human plasma.
Main Methods:
- Plasma collected from diverse male and female donors, reflecting U.S. population demographics.
- Quantification of approximately 100 analytes, including amino acids, fatty acids, vitamins, hormones, and perfluorinated compounds (PFCs).
- Value assignment measurements performed by NIST and the Centers for Disease Control and Prevention (CDC).
Main Results:
- SRM 1950 Metabolites in Human Plasma is the first reference material specifically for metabolomics.
- Characterized concentrations of a broad range of metabolites are provided.
- The SRM is designed for broad applicability across diverse metabolomics research.
Conclusions:
- SRM 1950 is a crucial resource for advancing metabolomics research and technology development.
- This material enhances the reliability and comparability of metabolomics data.
- It supports a wide array of metabolomics applications and scientific goals.
