摘要
以甘蔗糖蜜为底物,用响应面法对高丁醇比突变菌株拜氏梭菌(Clostridium beijerinckii)ART124发酵生产丁醇的培养条件进行优化。首先利用Plackett-Burman试验设计筛选出影响丁醇生产的3个重要因素CaCO3和NH4HCO3和K2HPO4的用量,再通过最陡爬坡路径逼近最大响应区域,最后根据响应面中心组合设计理论,确定主要影响因素的最佳条件:CaCO3、NH4HCO3和K2HPO4的质量浓度分别为2.65、2.16和0.43 g/L。利用数学模型分析预测得甘蔗糖蜜质量浓度为30 g/L时,最佳的丁醇产量为8.10 g/L,比优化前提高了53.14%。在最佳工艺条件下得到的实验结果与模型预测值很吻合,说明所建立的模型是有效的。
The butanol fermentation conditions of Clostridium beijerinekii ART124 from sugar cane molas ses were optimized by response surface method. Plackett-Burman design was used to evaluate the influ ences of related factors. CaC03, NH4HCO3 and K2HP04 were selected as the significant factors. The path of steepest ascent was undertaken to approach the optimum region of the three significant factors. The effects of the three main factors on the butanol production were further investigated by a central com- posite design. The obtained optimal concentrations of nutrients were 2.65 g/L （ CaCO3 ）, 2. 16 g/L （NH4HCO3 ） and 0.43 g/L （K2HPO4）. A corresponding mathematical model was established to predict the fermentation experiment and the maximum butanol yield of 8.10 g/L was obtained. Under the optimal conditions, the butanol concentration increased by 53.14%. The statistical method was proved to be a powerful tool for the optimization of butanol production from cane molasses.
出处
《生物加工过程》
CAS
CSCD
2012年第5期7-12,共6页
Chinese Journal of Bioprocess Engineering
基金
国家重点基础研究发展计划(973计划)资助项目(2011CB707405)
材料化学工程国家重点实验室基金资助项目(ZK201001)
林业公益性专项基金资助项目(201004001)
国家自然科学基金青年基金资助项目(21106067)
江苏省高校自然科学研究重大项目(11KJA530001)
