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D-optimal mixture design was applied to optimize the level of the main ingredients "i.e".e
The point optimization method was employed in order to optimize the level of each variable for maximum response.
So, in order to optimize the level of protein production experiment, we evaluated the role of codon optimization, fusion partners and culture conditions in obtaining high yields of bikunin.
We previously developed a simple method, designated cocktail δ-integration, to optimize the level of cellulase expression for cellulose degradation (Yamada et al. 2010b).
After application of the steepest ascent to approach the proximity of the optimum point, a central composite design was employed to optimize the level of the selected variables.
The developed models were also used to optimize the level of each response variable to minimize the chloride permeability, and to maximize the expected service life of the developed high performance SCC mixture.
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To optimize the levels of these significant variables Response Surface Methodology RS M) was followed.
The path of steepest ascent and Box-Behnken design were subsequently applied to optimize the levels of the significant variables.
A central composite design of experiments was further used to optimize the levels of the screened media constituents for enhancing the 4-CP biodegradation efficiency.
A 3-factor face-centered experimental design was conducted to optimize the levels of surfactant (SLS), binder (Kollidon 30) and disintegrant (Polyplasdone).
Central Composite Design (CCD) was utilized to optimize the levels of nutrients (nitrate and phosphate) and temperature for high biomass and lipid productivity in Oocystis sp. IM-04 isolated from domestic wastewater.
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