文献类型：期刊文献

英文题名：Statistical Optimizing of Medium for Clavulanic Acid Production by Streptomyces clavuligerus Using Response Surface Methodology

作者：Feng, Tao[1,2];Zhao, Jie[1];Chu, Ju[1];Wang, Yong-hong[1];Zhuang, Ying-ping[1]

机构：[1]East China Univ Sci & Technol, State Key Lab Bioreactor Engn, Shanghai 200237, Peoples R China;[2]Sinopharm Weiqida Pharmaceut Co Ltd, 1 Med Pk, Datong 037300, Shanxi, Peoples R China

年份：2021

卷号：193

期号：12

起止页码：3936

外文期刊名：APPLIED BIOCHEMISTRY AND BIOTECHNOLOGY

收录：;EI(收录号：20213510829690);WOS:【SCI-EXPANDED(收录号:WOS:000689494400001)】；

基金：This study was supported by the National Hi-Tech Program (863 Program 2006AA020302).

语种：英文

外文关键词：Clavulanic acid; Streptomyces clavuligerus; Statistical optimization; Response surface methodology

摘要：Clavulanic acid (CA) is a naturally occurring antibiotic produced by Streptomyces clavuligerus. Statistical optimization of the fermentation medium for CA production by Streptomyces clavuligerus was carried out. Multiple carbon sources, glycerol, dextrin, and triolein, were considered simultaneously. A two-level fractional factorial design experiment was conducted to identify the significant components of medium on CA production. Statistical analysis of the results showed that soybean meal, dextrin, and triolein were the most significant medium ingredients on CA production. The optimal level of these screened components was obtained by RSM based on the result of a Box-Behnken design, in which the values of dextrin, soybean meal, and triolein in CA fermentation medium were 12.37 g/L, 39.75 g/L, and 26.98 ml/L, respectively. Using the proposed optimized medium, the model predicted 938 mg/L of CA level and via experimental rechecking the model, 946 mg/L of CA level was attained in shake flask fermentation, significantly high than 630 mg/L of original medium. The optimized medium was further verified in 50-L stirred fermenter, and compared with performance of original medium in parallel, CA titer was increased from 889 to 1310 mg/L; a 47% increase was achieved through medium optimization by statistical approaches.