Response Surface Methodology Used for Statistical Optimization of Fermentation Media of Cordyceps Militaris

2012 ◽  
pp. 485-491
Author(s):  
Dongxue Liang ◽  
Na Zhang ◽  
Yaowen Zhang ◽  
Tinglan Zhang ◽  
Li Lü ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Statistical Optimization ◽  
Cordyceps Militaris ◽  
Optimization Of Fermentation ◽  
Fermentation Media

Enhanced Production of Mycelia by the Medicinal Mushroom Cordyceps militaris Using Plackett-Burman Design and Response Surface Methodology

2011 ◽  
Vol 138-139 ◽  
pp. 1209-1214
Author(s):  
Xiao Yu Liu ◽  
Fan Xing Meng ◽  
Yi Bo Zhang ◽  
Huan He ◽  
Wei Han ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Yeast Extract ◽  
Dry Weight ◽  
Fermentation Medium ◽  
Cordyceps Militaris ◽  
Enhanced Production ◽  
Burman Design ◽  
Optimization Of Fermentation ◽  
Plackett Burman Design

Response surface methodology (RSM) was used for statistical optimization of fermentation medium that influenced the yield of endo-polysaccharide from cultivated mycelia of Cordyceps militaris. First, the Plackett-Burman design was used to evaluate the effects of ten variables including glucose, maltose, peptone, yeast extract, KH2PO4, MgSO4, CaCl2, VB1, inoculum density and medium capacity. Among these variables, glucose, peptone and yeast extract were identified to have the significant effects. Subsequently, response surface methodology based on a five-level three-factor central composite design was employed to determine the maximum dry weight (DW) of mycelial biomass at optimum concentration of glucose, peptone and yeast extract. The mycelia growth was found to correlate to the three parameters that could be represented by second-order polynomial models. The optimal values of the three parameters were determined as 4.62% glucose, 3.36% peptone and 0.43% yeast extract. The prediction DW was 23.727g/L. The actual experimental results were in agreement with the prediction.

Statistical optimization of thermostable alkaline protease from Bacillus cereus KM 05 using response surface methodology

2021 ◽  
Author(s):  
Devi Jayakumar ◽  
Sunish Kadayil Sachith ◽  
Vinod Kumar Nathan ◽  
Kalappurakkal Saidu Muhammed Rishad
Keyword(s):  
Response Surface Methodology ◽  
Bacillus Cereus ◽  
Response Surface ◽  
Alkaline Protease ◽  
Statistical Optimization

scholarly journals Statistical optimization for the production of recombinant cold-adapted superoxide dismutase in E. coli using response surface methodology

Bioengineered ◽  
2017 ◽  
Vol 8 (6) ◽  
pp. 693-699 ◽  
Author(s):  
Yatong Wang ◽  
Quanfu Wang ◽  
Yifan Wang ◽  
Han Han ◽  
Yanhua Hou ◽  
...  
Keyword(s):  
Superoxide Dismutase ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Statistical Optimization ◽  
Cold Adapted ◽  
E Coli
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