ArticleMetabolomics : Official journal of the Metabolomic Society2026
Automated, targeted, NMR spectral profiling of human breast milk.
Article in Metabolomics : Official journal of the Metabolomic Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
introductionHuman breast milk is the optimal source of nutrition for newborns and contains hundreds of bioactive compounds that influence infant health and development. Characterizing its composition at scale is important for understanding how maternal diet, health status, and other factors affect milk quality. However, manual NMR profiling methods are too slow for large cohort studies. MagMet is a program designed for the rapid, automated processing and profiling of 1D
methodsA library consisting of 72 metabolites was created based on the literature and comparison with experimental NMR spectra, that are known to be abundant or consistently detectable in breast milk. NMR spectra of ultrafiltered breast milk was then used to optimize and validate the performance of MagMet-HM in the automated NMR analysis of human breast milk.
resultsPerformance was benchmarked against manual profiling using Chenomx (version 8.3), with median and mean absolute percent errors of approximately 5.1% and 9.1%, respectively. MagMet-HM completes profiling in 10 min (on a single CPU) which is 3-6 times faster than manual methods.
conclusionsMagMet-HM offers a convenient, fast, and accurate method for the high-throughput metabolomic profiling of human breast milk. MagMet-HM is available at https://www.magmet.ca .
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