Literature DB >> 33162079

Isolation and identification of microorganisms in Kazakhstan koumiss and their application in preparing cow-milk koumiss.

Aizhan Rakhmanova1, Tao Wang1, Guo Xing1, Lingling Ma1, Yan Hong1, Yingying Lu1, Li Xin1, Wang Xin1, Qiao Zhu1, Xin Lü2.   

Abstract

Koumiss is a type of famous fermented mare milk and considered an important nutritious beverage in central Asian countries. However, the production of koumiss cannot meet public demand in the market due to availability of mare milk. In the present study, 52 lactic acid bacteria and 20 yeast strains from traditional homemade Kazakhstan koumiss were isolated and identified. The isolates were used in a trial that included fermented cow milk, and the flavor profiles, color, and taste to determine their contribution in the co-fermentation of cow milk. Based on the sensory evaluation, KZLAB13 and KZY10 strains were selected as the best cofermentation combinations. The optimal fermentation conditions were confirmed as the ratio of the starter culture 2.4:1.6 % (vol/vol) KZLAB13 strain to KZY10 strain and a temperature of 36°C for 16 h using response surface methodology. After evaluating the quality of the optimized cow-milk koumiss compared with the Kazakhstan koumiss, results suggested that cow milk fermented by these 2 strains possessed a promising taste, flavor, and physicochemical and rheological properties. Altogether, our results showed that cow milk fermented with a combination of KZLAB13 and KZY10 strains can simulate the taste, flavor, and quality of traditional koumiss. Our study provided a novel alternative to mare-milk koumiss and could be used in dairy programs to fulfill the needs of people.
Copyright © 2021 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  fermentation; flavor compound; koumiss; microorganism; optimization

Year:  2020        PMID: 33162079     DOI: 10.3168/jds.2020-18527

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  3 in total

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Journal:  Nanomaterials (Basel)       Date:  2022-05-18       Impact factor: 5.719

2.  Diversity Analysis of Bacterial and Function Prediction in Hurunge From Mongolia.

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  3 in total

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