Optimization of culture conditions for hydrogen production by Ethanoligenens harbinense B49 using response surface methodology

A salt, detergent, and solvent tolerant protease from <i>Bacillus</i> sp. B001: Low-cost, easy-purified, and enhanced production by raw material based culture strategy

“…All the a A 23 factorial design was used to fit the first-order model; b Six axial points were employed to make the quadratic polynomial can be added to the first-order model; c Six replications of the center points were used to estimate the experimental error and to check the adequacy of the model. contour plots showed in Figure 2 were elliptical, demonstrating perfect interactions between the three independent variables [27], which was in well agreement with their low P-values obtained in previous statistical analysis ( Table 6).…”

Improved microbial conversion of de-oiled Jatropha waste into biohydrogen via inoculum pretreatment: process optimization by experimental design approach

“…Basically, a smaller P-value stands for higher influence and only factors having P-values <0.05 can be considered as statistically important ones (Guo et al, 2009). Accordingly, as it can be seen in Table 3, all the input variables studied in this work could affect biohydrogen formation in a statistically significant manner.…”

Medium optimization for the production of avermectin B1a by Streptomyces avermitilis 14-12A using response surface methodology

“…The RSM designs applied in the present investigation have been successfully applied in many recent biotechnological researches (Guo et al, 2009;Jo et al, 2008;Lotfy, 2007;Mu et al, 2009). However, to the best of our knowledge, no single report was obtained on avermectins or avermectin B1a production optimization using the RSM designs.…”