Optimization of Cordyceps sinensis fermentation Marsdenia tenacissima process and the differences of metabolites before and after fermentation

冬虫夏草 发酵 化学 响应面法 食品科学 原材料 传统医学 色谱法 医学 有机化学
作者
Siqi Wang,Lin Lu,Tianyuan Song,Xinxin Xu,Jie Yu,Tongxiang Liu
出处
期刊:Heliyon [Elsevier BV]
卷期号:8 (12): e12586-e12586 被引量:8
标识
DOI:10.1016/j.heliyon.2022.e12586
摘要

In this paper, we explored the interaction of factors which influenced the Cordyceps sinensis fermentation Marsdenia tenacissima (Roxb.) Wight et Arn, a Dai (a national minority of China) medicine, and the optimal fermentation conditions. The differences of C. sinensis metabolites in normal state (CN) and products of two-way liquid fermentation of C. sinensis and Marsdenia tenacissima (CM) and Marsdenia tenacissima (MT). The interactive effect of factors was analyzed and the best conditions are obtained through the box-behnken design (BBD) in response surface methodology (RSM). All metabolites were determined by ultra high performance liquid chromatography quadrupole time of flight mass spectrometer (UHPLC-Q-TOF-MS), analyzed and identified by metabonomics technology. Results showed that the optimum fermentation conditions were the concentration of raw medicinal materials is 160 g/L, the fermentation time is 6 days, the inoculation volume is 9.5%, the rotating speed is 170 rpm. 197 metabolites were identified in both positive ion and negative ion. 119 metabolites were significantly different between CN and CM. 43 metabolites were significantly different between CM and MT. Differential metabolic pathways were enriched. In conclusion, this paper optimizes the bidirectional fermentation process of M. tenacissima and C. sinensis through response surface methodology, and analyzes the changes of components from the level of metabonomics, so as to provide reference for exploring medicinal fungi fermentation of traditional Chinese medicine.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
郑传伟发布了新的文献求助10
1秒前
1秒前
2秒前
故酒应助嗯嗯采纳,获得10
4秒前
爆米花应助Catalysis123采纳,获得10
5秒前
赘婿应助忧郁的砖家采纳,获得10
6秒前
jiuwu完成签到,获得积分10
6秒前
橘子29发布了新的文献求助10
7秒前
7秒前
teamguichu完成签到 ,获得积分10
8秒前
10秒前
小蘑菇应助一一采纳,获得10
11秒前
11秒前
香蕉书兰完成签到,获得积分20
12秒前
哈哈哈完成签到,获得积分20
12秒前
陶佳仪发布了新的文献求助10
13秒前
hsj完成签到,获得积分10
13秒前
Jiang发布了新的文献求助10
14秒前
HMLM完成签到,获得积分10
15秒前
传奇3应助胡豆豆采纳,获得10
16秒前
子舆完成签到 ,获得积分10
16秒前
哈哈哈发布了新的文献求助10
16秒前
Jasper应助琪求好运采纳,获得10
17秒前
lalala发布了新的文献求助10
18秒前
19秒前
Lis发布了新的文献求助10
19秒前
21秒前
唐俊杰完成签到,获得积分10
21秒前
22秒前
22秒前
酷波er应助圆圆的馒头采纳,获得10
22秒前
23秒前
白踏歌发布了新的文献求助10
23秒前
科研通AI6应助哈哈哈采纳,获得10
23秒前
24秒前
ys完成签到,获得积分10
26秒前
Carbonzinc发布了新的文献求助10
26秒前
小鹏子发布了新的文献求助10
27秒前
浮游应助goldNAN采纳,获得10
27秒前
xyc完成签到 ,获得积分10
27秒前
高分求助中
Pipeline and riser loss of containment 2001 - 2020 (PARLOC 2020) 1000
哈工大泛函分析教案课件、“72小时速成泛函分析:从入门到入土.PDF”等 660
Learning and Motivation in the Classroom 500
Theory of Dislocations (3rd ed.) 500
Comparing natural with chemical additive production 500
The Leucovorin Guide for Parents: Understanding Autism’s Folate 500
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5224818
求助须知:如何正确求助?哪些是违规求助? 4396749
关于积分的说明 13684880
捐赠科研通 4261194
什么是DOI,文献DOI怎么找? 2338338
邀请新用户注册赠送积分活动 1335711
关于科研通互助平台的介绍 1291564