已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Improving the productivity of 19,20-epoxy-cytochalasin Q in Xylaria sp. sof11 with culture condition optimization

蔗糖 响应面法 食品科学 鱼粉 中心组合设计 甘油 化学 酵母抽提物 拉伤 生物 生物化学 发酵 色谱法 渔业 解剖
作者
Yun Zhang,Jin Cai,Lei Huang,Zhinan Xu,Xiuliang Yang,Jiangtao Li,Xiangcheng Zhu
出处
期刊:Preparative Biochemistry & Biotechnology [Taylor & Francis]
卷期号:46 (5): 461-466 被引量:4
标识
DOI:10.1080/10826068.2015.1068804
摘要

19,20-Epoxy-cytochalasin Q (B5A) is a cytochalasin with a wide range of biological activities, which can be produced by Xylaria sp. sof11, a strain isolated from the seafloor of the northern South China Sea. Since the low titer of B5A has greatly limited its further studies, we have systematically conducted the fermentative optimization for B5A production in this article. The effects of major medium components, including the carbon and organic nitrogen sources, as well as of the concentration of sea salt, were respectively investigated through single-factor experiments. As a result, sucrose and fish meal were determined to be the key factors affecting the production of B5A. Then three important variables, sucrose, fish meal, and filling volume, were screened out by the Plackett-Burman (PB) design. The optimal level of these variables was further confirmed by response surface analysis. The final formulated medium was set as 35.2 g/L sucrose and 18.0 g/L fish meal, with filling volume of 34.6 mL, which could afford 440.3 mg/L production of B5A, approximately 4.4-fold higher than that in the original medium. The significantly improved productivity of B5A will facilitate the subsequent mechanistic and clinical studies of B5A.
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
瓶盖完成签到 ,获得积分10
刚刚
123应助迅速荠采纳,获得10
2秒前
紧张的穆完成签到 ,获得积分10
2秒前
学术答辩发布了新的文献求助20
3秒前
bh发布了新的文献求助10
3秒前
4秒前
Q女士的论文在哪里完成签到 ,获得积分10
6秒前
ivy18完成签到,获得积分10
7秒前
寒冷的尔芙完成签到 ,获得积分10
9秒前
tomas发布了新的文献求助10
9秒前
12秒前
13秒前
ddddddddddd发布了新的文献求助10
15秒前
17秒前
隐形曼青应助哇咔咔采纳,获得10
17秒前
Yen关注了科研通微信公众号
18秒前
WZB发布了新的文献求助10
19秒前
完美世界应助dd采纳,获得10
19秒前
风笑发布了新的文献求助10
20秒前
20秒前
20秒前
20秒前
20秒前
20秒前
20秒前
20秒前
天天快乐应助科研通管家采纳,获得10
20秒前
20秒前
20秒前
21秒前
orixero应助科研通管家采纳,获得10
21秒前
打打应助tomas采纳,获得10
21秒前
21秒前
大卫完成签到,获得积分20
21秒前
21秒前
Akim应助科研通管家采纳,获得10
21秒前
石中酒完成签到,获得积分10
21秒前
21秒前
英姑应助科研通管家采纳,获得10
21秒前
23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
Reducing Compassion Fatigue, Secondary Traumatic Stress and Burnout 600
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Mammalian Synthetic Biology 500
Auslegungsgeschichte 500
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
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 7639370
求助须知:如何正确求助?哪些是违规求助? 9212534
关于积分的说明 19762388
捐赠科研通 7206078
什么是DOI,文献DOI怎么找? 3276019
关于科研通互助平台的介绍 2437571
邀请新用户注册赠送积分活动 2273263