An optimisation strategy based on desirability functions together with experimental design has been used to optimise a chromatographic method applied to the separation and quantification of l-proline and seven organic acids in vinegar samples.
The multi-objective optimization method based on desirability approach has been applied in this study.
Numerical optimization technique based on desirability function was carried out to determine the workable optimum conditions for the SEO bioremediation process.
Numerical optimization technique based on desirability function was carried out for initial spent engine oil concentration of 10% w/w to optimize the biodegradation process.
Numerical optimization was carried out based on desirability functions for maximum TPH removal.
Optimum formulation based on desirability (1.0) exhibited PDE of 83.96 % and PS of 180.5 nm.
The optimum formulation based on desirability (0.945) exhibited %EE of 73.74% and PS of 300 nm.
A response surface methodology based on desirability function is used to enhance the convergence speed of the proposed algorithm.
Based on desirability functions, the optimized design improves the ventilation system by 24.5% as compared to the actual design.
The optimum formulation offered by the Design Expert 8.0.3 software based on desirability was found at 0.43, −0.68, and 0.27 level of X1, X2, and X3 respectively.
