摘要
在已有的雄烯二酮(AD)微生物转化法单因素试验最适条件基础上,采用均匀试验设计在多项影响植物甾醇转化制备AD的因素中,有效筛选出主效因素:底物浓度、植物油、废糖蜜。再利用响应面分析法(RSM)对以上3个显著因子的最佳水平范围进行研究,并建立响应面及等高曲线图,比较分析了各主要因子间交互规律。通过对二次多项回归方程求解,得到生物转化法最适条件为废糖蜜58.49mL/L、葵花油211.63mL/L、甾醇6.01g/L,结合均匀试验最适条件:硝酸氨3.2g/L、磷酸二氢氨0.8g/L、氯化汞0.055g/L进行生物转化实验,得到AD产量达到2.55g/L,且重复性实验结果较好。
Bioconversion processing of androstenedione （AD） is strongly affected by many factors. Uniform design has been undertaken to evaluate the effects of substrate concentration, plant oil and molasses on bioconversion rate. Through regression analysis, the amounts of sunflower oil and molasses were important factors for bioconversion processing of AD. Response surface methodology （RSM） was used to optimize the critical factors. Through the analysis of quadratic regression model equation, the optimal processing parameters for bioconversion were 211.63 mL/L sunflower oil, 58.49 mL/L molasses and 6.01 g/L phytosterol. The optimal uniform design parameters were 3.2 g/L ammonium nitrate, 0.8 g/L ammonium dihydrogen phosphate, and 0.055 g/L mercury chloride. Under the optimal conditions, the production of AD was 2.55 g/L.
出处
《食品科学》
EI
CAS
CSCD
北大核心
2010年第24期78-82,共5页
Food Science
基金
"十一五"国家科技支撑计划项目(2007BAD34B01)
国家"863"计划项目(2007AA10Z361)
安徽省自然科学基金项目(070413265X)
安徽省科技厅2009年度科技攻关项目(08020203004)
安徽高校省级自然科学研究重点项目(KJ2010A060)
安徽建筑工业学院博士基金支持项目
关键词
雄烯二酮
生物转化
均匀设计
响应面分析法
优化
androstenedione
bioconversion
uniform design
response surface methodology
optimization
