Optimization of key variables for the enhanced production of hydrogen by Ethanoligenens harbinense W1 using response surface methodology

2011 ◽  
Vol 36 (10) ◽  
pp. 5843-5848 ◽  
Author(s):  
Wan-Qian Guo ◽  
Zhao-Hui Meng ◽  
Nan-Qi Ren ◽  
Zhen-Peng Zhang ◽  
Fu-Yi Cui
2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Ponnuswamy Vijayaraghavan ◽  
P. Rajendran ◽  
Samuel Gnana Prakash Vincent ◽  
Arumugaperumal Arun ◽  
Naif Abdullah Al-Dhabi ◽  
...  

Fibrinolytic enzymes have wide applications in clinical and waste treatment. Bacterial isolates were screened for fibrinolytic enzyme producing ability by skimmed milk agar plate using bromocresol green dye, fibrin plate method, zymography analysis, and goat blood clot lysis. After these sequential screenings,Bacillussp. IND12 was selected for fibrinolytic enzyme production.Bacillussp. IND12 effectively used cow dung for its growth and enzyme production (687±6.5 U/g substrate). Further, the optimum bioprocess parameters were found out for maximum fibrinolytic enzyme production using cow dung as a low cost substrate under solid-state fermentation. Two-level full-factorial experiments revealed that moisture, pH, sucrose, peptone, and MgSO4were the vital parameters with statistical significance (p<0.001). Three factors (moisture, sucrose, and MgSO4) were further studied through experiments of central composite rotational design and response surface methodology. Enzyme production of optimized medium showed4143±12.31 U/g material, which was more than fourfold the initial enzyme production (978±36.4 U/g). The analysis of variance showed that the developed response surface model was highly significant (p<0.001). The fibrinolytic enzyme digested goat blood clot (100%), chicken skin (83±3.6%), egg white (100%), and bovine serum albumin (29±4.9%).


2011 ◽  
Vol 138-139 ◽  
pp. 1209-1214
Author(s):  
Xiao Yu Liu ◽  
Fan Xing Meng ◽  
Yi Bo Zhang ◽  
Huan He ◽  
Wei Han ◽  
...  

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.


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