[1]郭清华,熊本涛,陈少林*. 粗糙脉孢菌产纤维素酶培养条件的优化[J].西北林学院学报,2018,33(2):151-155.[doi:10.3969/j.issn.1001-7461.2018.02.25]
 GUO Qing-hua,XIONG Ben-tao,CHEN Shao-lin*. Optimization of Cellulase Production Conditions of Neurospora[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2018,33(2):151-155.[doi:10.3969/j.issn.1001-7461.2018.02.25]
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 粗糙脉孢菌产纤维素酶培养条件的优化()
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《西北林学院学报》[ISSN:1001-7461/CN:61-1202/S]

卷:
第33卷
期数:
2018年第2期
页码:
151-155
栏目:
出版日期:
2018-03-31

文章信息/Info

Title:
 Optimization of Cellulase Production Conditions of Neurospora
文章编号:
1001-7461(2018)02-0151-05
作者:
 郭清华12熊本涛12陈少林12*
 (1.西北农林科技大学 生命科学学院,陕西 杨陵 712100;2.西北农林科技大学 旱区生物质能研究中心,陕西 杨陵 712100)
Author(s):
 GUO Qing-hua12XIONG Ben-tao12CHEN Shao-lin12*
 (1.College of Life Science,Northwest Agriculture &Forestry University,Yangling,Shaanxi 712100,China; 2.Biomass Energy Center for Arid and Semi-arid Lands,Northwest Agriculture &Forestry University,Yangling,Shaanxi 712100,China)
关键词:
 响应面优化法粗糙脉孢菌纤维素酶
Keywords:
 response surface analysis Neurospora crassa cellulase
分类号:
S763.15
DOI:
10.3969/j.issn.1001-7461.2018.02.25
文献标志码:
A
摘要:
 采用响应面优化法(RSM)与中心组合试验(CCD)对粗糙脉孢菌发酵产纤维素酶培养条件进行优化,以纤维素酶活力及蛋白浓度作为响应值,用Design-Expert设计温度、pH、转速3因素20次的响应面试验,建立回归模型,确定最佳的发酵条件是温度为22.5℃、pH为6.25、转速为200 r/min时,羧甲基纤维素酶活性达到1.23 mg/L,滤纸酶活性达到1.55 mg/L,蛋白浓度达到162.349 mg/L,可以提高粗糙脉孢菌产纤维素酶的能力。
Abstract:
 Response surface analysis method and central composite design was used to optimize the cellulase fermentation of Neurospora crassa.The activity of cellulase and protein concentration were used as the responses.A Design-Expert was adopted in which three factors and included three factors and twenty levels were included.A regression model was established.The optimal conditions were temperature 22.5℃,pH 6.25,rotational speed 200 r/min,under which CMCase,FPase,and protain concentration were 1.23 g/L,1.55 g/L,and 162.349 mg/L,respectively,indicating that the cellulase production of Neurospora crassa was improved.

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备注/Memo

备注/Memo:
 收稿日期:2017-05-23修回日期:2017-05-31
基金项目:西北农林科技大学引进人才启动项目。
作者简介:郭清华,女,在读硕士,研究方向:纤维素酶。E-mail:1429707005@qq.com
*通信作者:陈少林,男,教授,研究方向:纤维素酶。E-mail:slc1916@icloud.com
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