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作 者:郭清华 熊本涛 陈少林[1,2] GUO Qing-hua1,2 , XIONG Ben-tao1,2 , CHEN Shao-lin1,2(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, Chin)
机构地区:[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
出 处:《西北林学院学报》2018年第2期151-155,共5页Journal of Northwest Forestry University
基 金:西北农林科技大学引进人才启动项目
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200r/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162.349mg/L,可以提高粗糙脉孢菌产纤维素酶的能力。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.
分 类 号:S763.15[农业科学—森林保护学]
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