Fuente: PubMed "microbial biotechnology" Food Sci Biotechnol. 2026 Mar 20;35(9):2387-2397. doi: 10.1007/s10068-026-02116-w. eCollection 2026 Aug.ABSTRACTPrecision fermentation enables the sustainable synthesis of value-added products by engineering microorganisms into specialized cell factories. Unlike traditional fermentation, food-grade precision fermentation operates within a highly regulated framework related to safety considerations, regulatory approval processes, and consumer acceptance, which strongly influence strain selection and engineering strategies. This review explores the Design-Build-Test-Learn (DBTL) framework as a systematic, iterative approach for developing these food-grade microbial platforms. We summarize how computational design, automated strain construction, high-throughput testing, and data-driven learning are integrated to guide rational decision-making across DBTL cycles. Representative case studies in alternative proteins, flavor compounds, and functional carbohydrates illustrate how DBTL-driven workflows enable efficient optimization while maintaining food relevance and scalability. Together, these examples highlight DBTL as a unifying framework that bridges advanced synthetic biology with practical food production and supports the development of resilient and sustainable food systems.PMID:42534763 | PMC:PMC13421580 | DOI:10.1007/s10068-026-02116-w