Synthetic microbial communities: Novel strategies to enhance the quality of traditional fermented foods

生化工程 发酵 质量(理念) 生物技术 食品科学 业务 生物 工程类 认识论 哲学
作者
Ritian Jin,Jing Song,Chang Liu,Rong Lin,Duo Liang,Jude Juventus Aweya,Wuyin Weng,Longji Zhu,Jiaqi Shang,Shen Yang
出处
期刊:Comprehensive Reviews in Food Science and Food Safety [Wiley]
卷期号:23 (4): e13388-e13388 被引量:73
标识
DOI:10.1111/1541-4337.13388
摘要

Consumers are attracted to traditional fermented foods due to their unique flavor and nutritional value. However, the traditional fermentation technique can no longer accommodate the requirements of the food industry. Traditional fermented foods produce hazardous compounds, off-odor, and anti-nutritional factors, reducing product stability. The microbial system complexity of traditional fermented foods resulting from the open fermentation process has made it challenging to regulate these problems by modifying microbial behaviors. Synthetic microbial communities (SynComs) have been shown to simplify complex microbial communities and allow for the targeted design of microbial communities, which has been applied in processing traditional fermented foods. Herein, we describe the theoretical information of SynComs, particularly microbial physiological processes and their interactions. This paper discusses current approaches to creating SynComs, including designing, building, testing, and learning, with typical applications and fundamental techniques. Based on various traditional fermented food innovation demands, the potential and application of SynComs in enhancing the quality of traditional fermented foods are highlighted. SynComs showed superior performance in regulating the quality of traditional fermented foods using the interaction of core microorganisms to reduce the hazardous compounds of traditional fermented foods and improve flavor. Additionally, we presented the current status and future perspectives of SynComs for improving the quality of traditional fermented foods.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
充电宝应助淡定的小蚂蚁采纳,获得10
1秒前
要减肥冬天完成签到,获得积分10
3秒前
欣慰的山竹完成签到,获得积分10
4秒前
6秒前
7秒前
咯噔完成签到,获得积分10
8秒前
难逃月色完成签到,获得积分10
8秒前
火力全开完成签到,获得积分10
10秒前
骄傲的叶凡完成签到,获得积分10
10秒前
CodeCraft应助Shellbeaze采纳,获得10
11秒前
LV完成签到 ,获得积分10
12秒前
aaccc完成签到,获得积分10
12秒前
香兰笑发布了新的文献求助10
12秒前
xxk应助www采纳,获得10
13秒前
大个应助www采纳,获得10
13秒前
CodeCraft应助刘克采纳,获得10
14秒前
xxd完成签到,获得积分10
16秒前
tkx是流氓兔完成签到,获得积分10
16秒前
FashionBoy应助彼方250521采纳,获得10
17秒前
18秒前
SCI完成签到 ,获得积分10
18秒前
英姑应助榴莲姑娘采纳,获得10
20秒前
尹宏林完成签到,获得积分10
21秒前
米奇妙妙屋完成签到,获得积分10
21秒前
22秒前
wrxaa完成签到,获得积分10
22秒前
22秒前
Aoren完成签到,获得积分10
23秒前
23秒前
慕青应助贾cw采纳,获得10
23秒前
小巧的绮完成签到,获得积分10
24秒前
orixero应助ning采纳,获得10
25秒前
Binbin完成签到,获得积分10
25秒前
haihuhu完成签到 ,获得积分10
25秒前
干饭啦完成签到,获得积分10
26秒前
英俊鼠标完成签到 ,获得积分10
26秒前
ln完成签到,获得积分10
26秒前
超级李包包完成签到,获得积分10
27秒前
Baylin发布了新的文献求助10
27秒前
28秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
Management and the Arts 310
Teaching Social and Emotional Learning in Physical Education 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7635894
求助须知:如何正确求助?哪些是违规求助? 9209819
关于积分的说明 19753688
捐赠科研通 7203675
什么是DOI,文献DOI怎么找? 3275289
关于科研通互助平台的介绍 2437151
邀请新用户注册赠送积分活动 2272405