A Model for Probiotic Fermented Food Production

Author:

Savo Sardaro Maria Luisa123ORCID,Zaini Silvia2,Amato Katherine Ryan1

Affiliation:

1. Department of Anthropology, Northwestern University, Evanston, IL 60208, USA

2. Department of Food and Drug, University of Parma, 43121 Parma, Italy

3. Department of Human Science and Promotion of the Quality of Life, University of San Raffaele, 00166 Rome, Italy

Abstract

The past few decades have demonstrated how important the human gut microbiota is for human health. Because of this, the use of microbiota-modulating dietary interventions such as probiotics and prebiotics is growing in popularity amongst consumers, food manufacturers, healthcare professionals, and regulators. In particular, there is interest in making a wider variety of foods with probiotic properties. However, as a solution for food manufacturers to produce fermented foods compatible with the “probiotic foods” label definition, we used an impedometric analysis to identify the survival and growth capacity of microbial strains in specific environmental contexts. Using this approach, manufacturers can more effectively select the strains with the highest growth rate for use in probiotic fermented food production trials. To provide a proof of concept, we tested three Lacticaseibacillus rhamnosus probiotic strains growing in milk at different temperatures. We quantified the probiotic’s growth using species-specific primers and quantitative real-time PCR. Overall, our results demonstrate the feasibility of this type of model in facilitating the production of probiotic fermented foods by allowing manufacturers to select strains able to grow under specific conditions. Our model can be used to develop, increase, and target the beneficial health properties of a multitude of fermented foods produced worldwide.

Funder

Emilia-Romagna Region, Italy

Project Parent, Siteia-Parma

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3