Lactobacillus HNC7-YLC92 Improves the Fermentation Quality of Cassava–Acerola Cherry Beverage

Author:

Lu Tianyu1,Song Bei1,Yang Jinsong1,Tan Haisheng2,Qiao Huahua1ORCID,Zhi Wenbo1ORCID,Chen Rong1,Sheng Zhanwu3

Affiliation:

1. School of Food Science and Engineering, Hainan University, Haikou 570228, China

2. School of Materials Science and Engineering, Hainan University, Haikou 570228, China

3. Agricultural Products Processing Research Institute, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang 524000, China

Abstract

In order to promote the consumption and application of cassava in the food industry, the cassava–acerola cherry juice beverage was developed using lactic acid bacteria fermentation, which improved the flavor attraction and nutritional value, increased the added value of cassava and acerola cherry. The study investigated the effects of both pure and mixed fermentation using Lactobacillus plantarum (L. plantarum) HNC7 on the chemical compounds and antioxidant activities in cassava–acerola cherry juice. Following 72 h of fermentation, the fruit juice showed increased acidity, a decrease in pH, and higher consumption of soluble solids, and a significant rise in volatile substance content and antioxidant activity (p < 0.05). Notably, the HNC7-YLC92 binary combination demonstrated the most effective fermentation, resulting in a product with uniform color, moderate sourness and sweetness, and a delicate and smooth taste. Overall, the HNC7-YLC92 binary combination, due to its beneficial biological properties, shows great potential as the optimal strain for fermenting this juice. This provides a reference for selecting industrial fermentation conditions and strains, aiming to develop new value-added cassava products and increase their consumption.

Funder

Hainan Province Science and Technology Special Fund

National Natural Science Foundation of China

Hainan Natural Science Foundation Innovation Research Team project

Central Public Interest Scientific Institution Basal Research Fund

Publisher

MDPI AG

Subject

Plant Science,Biochemistry, Genetics and Molecular Biology (miscellaneous),Food 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