Neurosciences des Croyances

Sustainable probiotic production via AI: medium optimization and metabolic mechanisms in ssp. BB-12 using agricultural waste.

Zhang H, Feng R, Ding N, Huang T, Hong H, Luo Y, Chang SKC, Zhang Y, Tan Y

Crit Rev Food Sci Nutr . 2026;66 (13) :2513-2528

📅 01/01/2026 PMID : 41176159 DOI : 10.1080/10408398.2025.2577224

Résumé

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 (