响应面法优化斜卧青霉Ju-A_(10)产CMCase的条件  

Application of Response Surface Analysis (RSA) in Fermentation Condition Optimization of Penicillium decumbens Ju-A_(10) for CMCase Production

作　　者：董锡文[1] 杜春梅[2] 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,济南250100 [2]黑龙江省佳木斯大学,佳木斯154007

出　　处：《微生物学通报》2006年第3期31-35,共5页Microbiology China

基　　金：国家自然科学基金资助(No.30270044);国家重点基础研究专项经费("973"项目)(No.2003CB716006;No.2004CB719702)

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谷秸、麦秸和造纸废渣,碳源水平分别在9．77％、8．69％、9．97％,300mL三角瓶装液量分别为64．7 mL、54．2 mL、40．8 mL时,CMCase为最高,分别为29．26 IU／mL、29．14 IU／mL、29．81 IU／mL。R2分别达到了0．9117、0．9246、0．8655,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 condition optimization of P. decumbens Ju-A10 for production of CMCase using three kinds of plant cellulosic wastes as carbon sources was made using RSA method. The result was that CMCase was the highest when the level of carbon source was 9.77 %, 8.69 % and 9. 97%, and liquid volume was 64.7 mL, 54.2 mL, 40. 8 mL for carbon sources of millet straw, wheat straw and paper sludge, respectively. The value of CMCase was 29.26IU/mL, 29. 14 IU/mL, 29.81 IU/mL, respectively, in the above cases. The value of R2 is 0. 9117, 0. 9246, 0. 8655, respectively. It could be concluded that the fermentation models were quite reliable. The method can be applied in optimization of fungi fermentation medium.

关 键 词：响应面分析法 斜卧青霉 优化 CMCASE 

分 类 号：Q93-33[生物学—微生物学]