A metabolic profiling approach to characterize and discriminate plant-based beverages and milk

The rising demand for nondairy and nonanimal protein sources has increased plant-based beverages (PBB) consumption. However, research on their functional properties, metabolic profile, and discrimination potential is limited. This study evaluated the potential of proton nuclear magnetic resonance (<sup>1</sup>H NMR) spectroscopy as an authentication method to discriminate milk (cow and goat) and PBB macro-groups, including soy-based, fruit-based (almond and coconut), and cereal-based (rice and oat) beverages, based on their metabolic profile. A total of 22 PBB (soy-, almond-, coconut-, rice-, and oat-based beverages), 4 cow milk, and 4 goat milk cartons were analyzed with <sup>1</sup>H NMR spectroscopy to obtain their metabolic profile. Relevant metabolites to discriminate PBB macro-groups and cow and goat milk were identified through the Mann-Whitney U test and partial least squares-discriminant analysis. Results revealed that uridine diphosphate glucose and adenosine were key metabolites for the identification of goat and cow milk. At the same time, choline and guanosine emerged as important markers for different PBB macro-group detection. In addition, lactose played a significant role in differentiating milk from PBB. In conclusion, these findings represent an initial step toward applying <sup>1</sup>H NMR spectroscopy for authentication and nutritional analysis of PBB, opening the door for further research into their authenticity and metabolic profiling.

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Publication Details

Journal
Journal of Dairy Science
Published
2025-04-17
DOI
https://doi.org/10.3168/jds.2025-26332
Citations
2
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
1.61

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article

A metabolic profiling approach to characterize and discriminate plant-based beverages and milk

Gaia Meoni, Massimo De Marchi, Leonardo Tenori, Carmen L. Manuelian et al.
2 citations
Journal of Dairy Science
Metabolomics and Mass Spectrometry Studies
1.61
article

A metabolic profiling approach to characterize and discriminate plant-based beverages and milk

Gaia Meoni, Massimo De Marchi, Leonardo Tenori, Carmen L. Manuelian, Marta Pozza, Giovanni Niero, Isa Carla Alves de Sousa
article en
2 citations

Abstract

The rising demand for nondairy and nonanimal protein sources has increased plant-based beverages (PBB) consumption. However, research on their functional properties, metabolic profile, and discrimination potential is limited. This study evaluated the potential of proton nuclear magnetic resonance (<sup>1</sup>H NMR) spectroscopy as an authentication method to discriminate milk (cow and goat) and PBB macro-groups, including soy-based, fruit-based (almond and coconut), and cereal-based (rice and oat) beverages, based on their metabolic profile. A total of 22 PBB (soy-, almond-, coconut-, rice-, and oat-based beverages), 4 cow milk, and 4 goat milk cartons were analyzed with <sup>1</sup>H NMR spectroscopy to obtain their metabolic profile. Relevant metabolites to discriminate PBB macro-groups and cow and goat milk were identified through the Mann-Whitney U test and partial least squares-discriminant analysis. Results revealed that uridine diphosphate glucose and adenosine were key metabolites for the identification of goat and cow milk. At the same time, choline and guanosine emerged as important markers for different PBB macro-group detection. In addition, lactose played a significant role in differentiating milk from PBB. In conclusion, these findings represent an initial step toward applying <sup>1</sup>H NMR spectroscopy for authentication and nutritional analysis of PBB, opening the door for further research into their authenticity and metabolic profiling.

Journal of Dairy ScienceVol. 108(6)
Universitat Autònoma de Barcelona (ES), University of Padua (IT), University of Florence (IT)
European Commission, Ministerio de Ciencia e Innovación
Openalex Percentile: Top 18%
Metabolomics and Mass Spectrometry Studies
1.61
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