ArticleNPJ science of food2025
Untargeted metabolomics approaches challenge the nutri-score FOPNL system in soluble cocoa products.
Article in NPJ science of food, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Untargeted metabolomics approaches challenge the nutri-score FOPNL system in soluble cocoa products.NPJ science of food · 2025Article
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4 authors.
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Abstract
Front-of-pack nutrition labels (FOPNL) like the Nutri-Score aim to guide healthier food choices, but their focus on limited nutritional parameters may overlook key health-promoting compounds. This study analyzed 54 commercial soluble cocoa powders from the Spanish market-covering 19 brands and Nutri-Score categories A to D-using untargeted metabolomics (HPLC-ESI-TOF-MS) and univariate and multivariate statistical analysis. PCA and PLS2 analyses showed no clear clustering by Nutri-Score categories, while ANOVA and post-hoc tests revealed limited metabolic differences, highlighting a mismatch between Nutri-Score classification and the actual chemical diversity of soluble cocoa products. Nutri-Score ratings primarily reflect macronutrient balance but fail to account for health-promoting metabolites. In several cases, products richer in bioactive compounds were penalized with lower Nutri-Scores, underscoring a limitation of this system when applied to complex food matrices. These findings highlight the need for more comprehensive labeling approaches that integrate metabolomic insights.
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