Katalog Plus
Bibliothek der Frankfurt UAS
Bald neuer Katalog: sichern Sie sich schon vorab Ihre persönlichen Merklisten im Nutzerkonto: Anleitung.
Dieses Ergebnis aus GreenFILE kann Gästen nicht angezeigt werden.  Login für vollen Zugriff.

Co‐Culture of Lactobacillus bulgaricus With Streptococcus thermophilus and Bifidobacterium Impact the Metabolism and Flavor of Fermented Milk.

Title: Co‐Culture of Lactobacillus bulgaricus With Streptococcus thermophilus and Bifidobacterium Impact the Metabolism and Flavor of Fermented Milk.
Authors: Ma, Pingping1 (AUTHOR); Li, Yanke1 (AUTHOR); Hao, Jingjing1 (AUTHOR); Lu, Han1 (AUTHOR); He, Yannan1 (AUTHOR); Wei, Lihua2 (AUTHOR); Ai, Lianzhong3 (AUTHOR); Wang, Shijie1,2 (AUTHOR) mrshjwang@163.com
Source: Food Science & Nutrition. May2025, Vol. 13 Issue 5, p1-12. 12p.
Subject Terms: Streptococcus thermophilus; Fermented milk; Mixed culture (Microbiology); Electronic noses; Bacterial metabolism
Abstract: Incorporating Bifidobacterium into fermented milk alters the balance between Lactobacillus bulgaricus and Streptococcus thermophilus. We investigated the bacterial interaction and metabolism post‐fermentation and during 21‐day storage. Utilizing non‐targeted metabolomics and electronic nose technology, we assessed impacts on product quality and flavor. Bifidobacterium significantly increased the viability of the other two species, with AI‐2 levels rising in the mixed culture. Metabonomic analysis revealed distinct metabolic profiles, with Bifidobacterium‐fermented milk showing enriched key metabolites. Volatile compounds like ketones, aldehydes, esters, alcohols, and acids were identified, with 2‐heptanone and 2‐pentanone as initial discriminators and 2‐pentanone and acetaldehyde as key flavor compounds after storage. This study advances understanding of symbiotic interactions and metabolite profiles in fermented dairy ecosystems. [ABSTRACT FROM AUTHOR]
: Copyright of Food Science & Nutrition is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: GreenFILE