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The simulation results are used to optimize the concentration of nanoparticles for the best tribological properties.
A response surface statistical experimental design was used to optimize the concentration of DDQ, time, and temperature.
To optimize the concentration of catalysts, a number of reactions were performed with varying amounts of NaOH and KOH.
Response surface methodology was used to optimize the concentration of important metal salts screened by Placket Burman design.
To optimize the concentration of MG in modified Middlebrook 7H10 agar for mycobacterial culture from soil, a two-step assay was performed.
In the present work, the effect of various parameters of the TPP method was evaluated to optimize the concentration of proteins from CP.
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The central composite design approach was used to optimize the concentrations of these components.
In the second step, a genetic algorithm was used to optimize the concentrations of all medium components.
Then, steepest ascent method and central composite design were used to optimize the concentrations of the three variables.
Nanostructured lipid carrier (NLC) systems were developed using response surface methodology to optimize the concentrations of lipophilic and hydrophilic surfactants based on the size of the resulting NLC.
In conclusion, the Box Behnken design is an effective tool by which to optimize the concentrations of glucose and sodium acetate to maximize biomass, lipid, and protein productivity by N. oleoabundans.
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