文献类型：期刊文献

英文题名：Statistical optimization of medium composition for aspergiolide A production by marine-derived fungus Aspergillus glaucus

作者：Cai, Meng-Hao[1]; Zhou, Xiang-Shan[1]; Sun, Xue-Qian[1]; Tao, Ke-Jing[1]; Zhang, Yuan-Xing[1]

机构：[1] State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Meilong Road 130, Shanghai 200237, China

年份：2009

卷号：36

期号：3

起止页码：381

外文期刊名：Journal of Industrial Microbiology and Biotechnology

收录：EI(收录号：20242616490783)

语种：英文

外文关键词：Carbon - Nitrogen - Sodium - Statistical methods - Yeast

摘要：Statistical methodologies were employed to optimize submerged culture medium for the production of a novel antineoplastic compound aspergiolide A by a marine-derived fungus Aspergillus glaucus HB1-19 for the first time. Orthogonal design was preformed to determine the initial composition. Then Plackett-Burman design was applied to evaluate the influence of related nutrients, and yeast extract paste, soybean powder and sodium glutamate were confirmed as critical factors in the medium. Response surface methodology (RSM) was finally taken as an effective approach to optimize the combination of the obtained three significant factors. The predicted maximal aspergiolide A production of 62.4 mg/L appeared at the region where the concentrations of sodium glutamate, soybean powder, and yeast extract paste were 2, 1, and 1.07 g/L, respectively. Under the proposed optimized conditions, the experimental aspergiolide A production reached 71.2 mg/L. The correlation between predicted value and measured value of these experiments proved the validity of the response model. After optimization, aspergiolide A production increased 4.22 times compared to that of the original medium. Elemental analysis was finally taken into consideration, and carbon-nitrogen ratio in the medium increased from 20.1:1 to 86.6:1. This great difference was inferred as the most important reason for production enhancement by metabolic pathway analysis. ? 2008 Society for Industrial Microbiology.