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In order to strike a compromise between the responses, the function of desirability was applied by using Design Expert software version 7.1.5.1 (STAT-EASE Inc., Minneapolis, USA).
Reaction conditions were optimised using the desirability function applied on the response surface methodology analysis of a Box Behnken factorial design of experiments.
Derringer's desirability function was applied to simultaneously optimize the retention time of last eluting peak (ketorolac tromethamine) and tailing factor of moxifloxacin.
Considering the large amount of information, often not convergent, a global desirability function was applied for multi-responses optimization.
For the improvement of method development and optimization step, Derringer's desirability function was applied to simultaneously optimize the five chosen responses.
Finally, a desirability function is applied on the resolution factors.
Desirability function was applied in this stage to maximize sugar yields and minimize inhibitor concentrations, resulting in overall sugars yield ∼60% and furfural concentration of 0.5 g/L.
The response surface model and the desirability function were applied for data analyses.
A desirability function was applied to combine these two indexes as a single objective function.
A desirability function was applied to combine these two qualities as a single objective function.
A multi-response optimization based on a desirability function was applied to optimize the derivatization.
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