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  • 标题:Optimization of Streptomyces sp.A11 Medium Cultivation on Cyclo(Tyrosyl-Prolyl) Production Using the Response Surface Methodology
  • 本地全文:下载
  • 作者:Rofiq Sunaryanto
  • 期刊名称:International Journal of Waste Resources
  • 电子版ISSN:2252-5211
  • 出版年度:2012
  • 卷号:2
  • 期号:2
  • 页码:1-5
  • DOI:10.4172/2252-5211.1000110
  • 语种:English
  • 出版社:OMICS International
  • 摘要:The Response Surface Methodology is a three factorial design which provides the relationship between one or more measured dependent response and a number of input (independent) factors. Response surface methodology was used for optimization of fermentation medium for antibacterial agent cyclo(tyr-pro) production by Streptomyces sp. A11. The optimal response region of the significant factor was predicted by using a second order polynomial model fitted to the results obtained by applying the Central Composite Design (CCD) statistical design. Determination of the best production medium of cyclo(tyr-pro) showed among 6 carbon sources used, dextrin produced the highest cyclo(tyr-pro). Among the five nitrogen sources used, peptone produced the highest cyclo(tyr-pro), and the mineral salts group I produced the highest cyclo(tyr-pro) compared with others. The results of optimization showed that three variables (dextrin as a carbon source, peptone as nitrogen source, and mixture of mineral salts) used showed significantly affected to the activity of cyclo(tyr-pro). The mathematical model used, obtained by the composition of the three variables most optimum were concentration of dextrin was 32.55 g.L-1 , peptone concentration was 11.22 g L-1 , and 8.65 mL of mineral salts. By using the composition of mathematic model, cyclo(tyr-pro) was obtained 51.54 mg L-1 (model expectations) and 50.04 mg L-1 from experiments. The differences of experiment with expectation response value was 2.91%. Using the optimized parameters, the studies demonstrated an increase in the cyclo(tyr-pro) was 2.5 fold from 20 mg L-1 to 50 mg L-1
  • 关键词:response surface methodology; cyclo(tyrosyl-prolyl); Streptomyces sp. A11; optimization
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