粮食安全
工业生物技术
生化工程
生物技术
发酵
食品加工中的发酵
利用
业务
价值(数学)
生物
计算机科学
工程类
食品科学
生态学
农业
机器学习
细菌
遗传学
乳酸
计算机安全
作者
Andrea Galimberti,Antonia Bruno,Giulia Agostinetto,Maurizio Casiraghi,Lorenzo Guzzetti,Massimo Labra
标识
DOI:10.1016/j.copbio.2020.10.006
摘要
Omics tools offer the opportunity to characterize and trace traditional and industrial fermented foods. Bioinformatics, through machine learning, and other advanced statistical approaches, are able to disentangle fermentation processes and to predict the evolution and metabolic outcomes of a food microbial ecosystem. By assembling microbial artificial consortia, the biotechnological advances will also be able to enhance the nutritional value and organoleptics characteristics of fermented food, preserving, at the same time, the potential of autochthonous microbial consortia and metabolic pathways, which are difficult to reproduce. Preserving the traditional methods contributes to protecting the hidden value of local biodiversity, and exploits its potential in industrial processes with the final aim of guaranteeing food security and safety, even in developing countries.
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