利用响应面法优化Aspergillus sp.BCRC 31742产氨基葡萄糖发酵培养基  被引量:3

Optimization of fermentation medium for glucosamine production by Aspergillus sp.BCRC 31742 using response surface method

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作  者:张佳鑫[1] 刘龙[1] 李江华[1] 堵国成[1] 陈坚[1,2] 

机构地区:[1]江南大学工业生物技术教育部重点实验室,江苏无锡214122 [2]江南大学食品科学与技术国家重点实验室,江苏无锡214122

出  处:《工业微生物》2013年第2期51-57,共7页Industrial Microbiology

基  金:国家自然科学基金重点项目(20836003);中央高校基本科研业务费专项(JUSRP30901)

摘  要:采用响应面法(Response Surface Methodology,RSM)对Aspergillus sp.BCRC 31742产氨基葡萄糖(GlcN)的发酵培养基进行了优化,对主要因素的最佳水平及其交互作用进行了研究与探讨。首先在单因素实验的基础上确定了对产量影响较大的三个因素,分别是葡萄糖、酵母膏和初始pH,然后进行最陡爬坡实验逼近最佳响应面区域,最后采用Box-Behnken实验设计进行响应面分析优化,利用SAS软件进行回归分析得到各因素的最佳值。确定了最佳发酵条件为:葡萄糖22.96g/L,蛋白胨20.33 g/L,初始pH 6.77。在此条件下进行发酵验证,实验值和模型预测值之间比较接近,有较高的吻合度,相对误差较小。氨基葡萄糖(GlcN)的产量可达到11.48 g/L,比优化前提高了42%。The fermentation medium for glucosamine production by Aspergillus sp. BCRC 31742 was optimized using re- sponse surface method (RSM). First, three factors of glucose, peptone and initial pH with significant effects on glu- cosamine production were confirmed on the base of single factor experiments. Then the steepest ascent path was used to approach the optimal region. At last, Box-Behnken experimental design was employed to conduct response surface optimi- zation and the optimum values were obtained via regression analysis with the help of SAS software. The optimum fermenta- tion medium was the following : glucose 22.96 g/L, peptone 20.33 g/L and initial pH 6.77. Under these conditions, the fermentation validation showed that the experimental values were comparable to model prediction, having high inosculating degree and the error was relatively small. The yield of glucosamine could reach 11.48 g/L, 42% higher than before.

关 键 词:氨基葡萄糖 发酵培养基 响应面 

分 类 号:TQ920.6[轻工技术与工程—发酵工程]

 

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