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<p>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.</p>

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Untargeted metabolomics approaches challenge the nutri-score FOPNL system in soluble cocoa products

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年12月3日

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  • Marta Palma-Morales,
  • Oscar Daniel Rangel-Huerta,
  • Rafael Urrialde,
  • Celia Rodríguez-Pérez

摘要

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.