Alimenté par : Claudia (ADFI Alsace), Gaëlle (ADFI), Isabelle, Maïlé Onfray
Cet outil s'appuie sur PubMind
Un accès direct à la littérature scientifique via la base PubMed permettant de faciliter la veille sur les enjeux complexes de la santé mentale et du fait religieux : de la neuroscience des croyances à l'étude des abus spirituels, en passant par la prise en charge des traumatismes et des processus de déconversion.
Dernière synchronisation le 23/06/2026
Crit Rev Food Sci Nutr . 2026;66 (13) :2513-2528
ssp. BB-12 (BB-12) is a well-established probiotic with notable health benefits and broad applications. However, its conventional MRS medium is expensive and poses safety and religious concerns. Agricultural wastes represent sustainable alternatives for microbial cultivation. This study aimed to optimize the BB-12 culture medium using agricultural waste with artificial intelligence (AI) and to investigate their metabolic impact through metabolomic analysis. AI approaches, including RSM (Response Surface Methodology), machine learning, deep learning, and evolutionary optimization methods, were employed to model and optimize the effects of medium composition on OD, growth rate ( ), and cost. The optimized media were further evaluated through organic acids analysis and metabolomic profiling to elucidate how variations in nitrogen and carbon sources affect the metabolic responses of BB-12. The O1 medium optimized by Ridge-NSGAII (Non-dominated Sorting Genetic Algorithms II) significantly (