斜卧青霉Ju-A_(10)产CMCase培养条件的优化  

Fermentation condition optimization by Penicillium decumbens Ju-A_(10) for CMCase production using response surface analysis(RSA)

作　　者：董锡文[1] 杜春梅[1] 林建强[1] 曲音波[1] 

机构地区：[1]山东大学微生物技术国家重点实验室

出　　处：《工业微生物》2008年第2期20-22,共3页Industrial Microbiology

基　　金：国家自然科学基金(No.30270044);国家863项目(2007AA05Z455);国家"973"项目(No.2003CB716006;No.2004CB719702)资助

摘　　要：通过响应面分析法对Ju-A10利用不同植物纤维废弃物为碳源生产CMCase条件进行优化,结果显示碳源分别为玉米秸粉和高粱秸粉,碳源水平分别在8.00%1、0.05%,300 mL三角瓶装液量分别为55.25 mL、49.65 mL时,CMCase为最高,分别为29.43 IU/mL、37.57IU/mL。R2分别达到了0.9099、0.8592,说明发酵预测模型可靠性较高,可应用于培养条件的优化。Fermentation conditions of P. decumbens Ju-A10 for production of CMCase using various kinds of plant cellulosic wastes as carbon sources were optimized by RSA method. The results showed that CMCase was the highest when the level of carbon source was 8.00 %, 10.05 % and liquid volume was 55.25 mL,49.65 mL for carbon sources of corn straw, chinese sorghum straw, respectively. The value of CMCase was 29.43IU/mL and 37.57 IU/mL respectively. In the above cases, the value of RE was 0. 9099, 0. 8592 respectively. It could be concluded that the fermentation models were quite reliable. The method could be applied in the optimization of fungi fermentation medium.

关 键 词：响应面分析法 斜卧青霉 优化 CMCASE 

分 类 号：TQ929[轻工技术与工程—发酵工程]