ArticleFrontiers in microbiology2026
Selection of highly stress-tolerant yeast strains relevant for bioethanol fermentation using predictive growth models.
Article in Frontiers in microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Introduction: The growing demand for renewable energy together with the environmental impact of fossil fuels, have intensified global interest in sustainable bioethanol production. Methods: In this study, diverse PM models were applied to evaluate the effects of temperature, pH, sucrose, and ethanol concentrations on Results: The primary and secondary models used achieved excellent fits in all cases ( Discussion: Overall, this study underscores the usefulness of PM tools for characterizing and selecting native yeast strains with enhanced stress tolerance in local bioethanol production, as they allow for anticipation of physiological behavior in growth-based assays that mimic key industrial stresses, reduction of experimental workload, and strengthen strain selection and evaluation criteria.
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