Statistical optimization of key process variables for enhanced hydrogen production by newly isolated Clostridium tyrobutyricum JM1

Response surface method for optimization of phenolic compounds production by lignin pyrolysis

“…The BBD is efficient to estimate quadratic polynomials and to combine values for optimization of the response within a threedimensional observation space [11]. To develop the regression equation, the relation between the codedand actual values is expressed as follows: (1) where is the coded value of the ith independent variable, is the uncoded value of the ith independent variable, is the uncoded value of the ith independent variable at the center point and is the step change value [12].…”

“…The values of X1, X2, and X3 that correspond to the maximum value of Y were solved by setting the partial derivatives of the functions to zero and solving [12].…”

Dark fermentative hydrogen production from xylose by a hot spring enrichment culture

“…In a continuous bioreactor C. tyrobutyricum produced hydrogen with a rate and yield of 7.2 L H 2 /L/d and 1.65 mol H 2 /mol hexose, respectively [21]. The metabolism of C. tyrobutyricum on xylose and glucose depends strongly on pH, temperature and substrate concentration [22,23]. Increasing the temperature from 37 to 45 C further enriched the community and retained C. acetobutylicum and C. freundii, that has an optimum growth temperature of 37 C [24].…”

Microalgal biomass as a feedstock for bio-hydrogen production

“…Analysis of variance (ANOVA) was conducted to test the significance of fit of the second order polynomial equation for the experimental data as shown in Table 2. An ANOVA for H 2 yield indicated that the F-value was 21.79, which implies that the model was significant because model terms which have values of 'Prob > F' less than 0.05 are considered to be significant, while values higher than 0.1 are insignificant [28]. ANOVA of the fitting model indicated all parameters are significant for DFHP in this study.…”