A metabolomic approach of AI-driven enzymatic digestion of pumpkin seed flour for producing umami metabolites

de la Hoz, A; Caripan, P; Moltedo, B; Ferrada, N; Contreras, RA

Keywords: artificial intelligence, enzymatic digestion, umami, Metabolomic profile, Plant-based foods

Abstract

This study presents an innovative approach that combines enzymatic digestion with AI-driven optimization to produce pumpkin seed (Cucurbita pepo) metabolites that resemble those of chicken. Proteolytic enzymes, such as subtilisin, a mix of leucine aminopeptidase and glutamyl endopeptidase, and glutaminase, were used to break down the protein matrix and release key amino acids, with glutamate standing out for its umami-enhancing properties. Using AI-optimized reaction conditions reduces the number of trials needed and maximizes the production of desired metabolites. Metabolomic analyses revealed a substantial increase in compounds such as alanine and cysteine and the release of umami-boosting nucleotides (GMP and IMP). Sensory analyses showed that plant-based nuggets enriched with digested pumpkin seed flour exhibited flavor characteristics and acceptance levels comparable to traditional chicken nuggets. This approach highlights the potential of AI-optimized enzymatic technology to develop sustainable and appealing food alternatives, aligning with the growing demand for plant-based products that replicate the sensory experience of animal-based foods. © 2025 Elsevier B.V.

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Título según WOS: A metabolomic approach of AI-driven enzymatic digestion of pumpkin seed flour for producing umami metabolites
Título según SCOPUS: A metabolomic approach of AI-driven enzymatic digestion of pumpkin seed flour for producing umami metabolites
Título de la Revista: International Journal of Gastronomy and Food Science
Volumen: 39
Editorial: AZTI-Tecnalia
Fecha de publicación: 2025
Idioma: English
DOI:

10.1016/j.ijgfs.2025.101117

Notas: ISI, SCOPUS