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Updated: May 13, 2026

Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry UPLC-MS
Published on: March 14, 2013
A standardized nontargeted metabolomics method for cross-laboratory comparison of food profiles
Melanie T Odenkirk1, Cole Michel2, Katrina A Doenges2
1Department of Horticulture and Landscape Architecture, Colorado State University, Fort Collins, CO, United States.
Abstract:
Food composition has been traditionally defined by 35-160 chemical components with established nutritional significance for human health. Modern omics technologies have revealed that the chemical complexity of food is far greater, offering the potential to deepen our understanding of food composition to more precisely inform data-driven solutions across food systems. However, challenges in generating comparable omics data have limited the utility of omics technologies at the scale required to expand food composition databases. Herein, we present a standardized nontargeted LC-MS metabolomics method, supported by a novel internal retention time standard (IRTS) mixture of compounds non-endogenous to food that enables robust chromatographic alignment of data across laboratories. Our results demonstrate qualitative consensus of features across laboratories and/or instrumentation. This approach establishes the foundation for comparable, nontargeted omics analysis to support the next generation of food composition data.
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