Related Experiment Video
Updated: May 19, 2026

05:29
Profiling Volatile Compounds in Blackcurrant Fruit using Headspace Solid-Phase Microextraction Coupled to Gas Chromatography-Mass Spectrometry
Published on: June 9, 2021
Developing qualitative LC-MS methods for characterization of Vaccinium berry Standard Reference Materials
Mark S Lowenthal1, Melissa M Phillips, Catherine A Rimmer
1Analytical Chemistry Division, National Institute of Standards and Technology, Gaithersburg, MD 20899-8392, USA. mark.lowenthal@nist.gov
Analytical and Bioanalytical Chemistry
|September 4, 2012
Summary
Standard Reference Materials (SRMs) now include qualitative data, such as metabolomic and proteomic profiles, complementing traditional quantitative values. This enhances characterization of biomaterials like Vaccinium berries for broader scientific applications.
Area of Science:
- Analytical Chemistry
- Biomaterials Science
- Metabolomics & Proteomics
Background:
- Standard Reference Materials (SRMs) traditionally provide quantitative data for targeted analytes.
- Scientific community needs are expanding to include qualitative information for biomaterials.
- National Institute of Standards and Technology (NIST) is broadening SRM data offerings.
Purpose of the Study:
- To characterize a suite of six Vaccinium berry SRMs using metabolomic and proteomic profiling.
- To demonstrate the value of qualitative data, including chromatographic fingerprints and untargeted identifications.
- To complement traditional quantitative data provided by NIST.
Main Methods:
- Employed liquid chromatography-tandem mass spectrometry (LC-MS/MS) for metabolite identification.
- Utilized multiple-reaction monitoring LC-MS/MS with authentic standards for validation.
- Performed bottom-up proteomic analyses using expressed sequence tag (EST) databases and homology searches.
Main Results:
- Identified over 70 metabolites with definitive and putative identifications based on Metabolomics Standards Initiative guidelines.
- Demonstrated electrospray ionization mass spectrometry (ESI-MS) capability for untargeted metabolite profiling in complex matrices.
- Acquired chromatographic fingerprints and identified novel Vaccinium proteins via homology searches.
Conclusions:
- Qualitative data, such as metabolomic and proteomic profiles, significantly enhances the characterization of biomaterials.
- NIST's expanded SRM data offerings provide valuable qualitative insights complementing quantitative values.
- This approach broadens the utility of SRMs for diverse scientific applications.
