Your English writing platform
Discover LudwigSuggestions(1)
Exact(1)
Response surface methodology as a multiple responses optimization technique was utilized to optimize several important factors such as the biomass content of the medium (w/v), inoculum size and agitation rate.
Similar(59)
Predictive models using ANOVA and multiple response optimization revealed that optimal Cr VI) removal efficiency occurred at 11 V and 18.6 min treatment time to give 50 % Cr VI) removal efficiency with a consumption of 15.46 KWh m− 3 energy.
Numerical multiple response optimization was applied to select an optimized formula (OF) with the goals of minimizing PS and maximizing ZP absolute value and EE.
Response surface methodology and multiple response optimization were used to search for an optimized formula.
It was concluded that response surface methodology and multiple response optimization could be successfully used to design and optimize extended release formulations with desired preplanned release profile.
Multiple response optimization was applied to the experimental data to discover the optimal conditions for a set of response, simultaneously, by using a desirability function.
The response surface methodology (RSM) and multiple response optimization utilizing the polynomial equation were used to search for the optimal formulation with specific release rate at different time intervals and to quantify the effect of each formulation variables.
In vitro studies, the response surface methodology and multiple response optimization utilizing the polynomial equation were used to search for the optimal formulation with specific release rate at different time intervals.
The response surface methodology (RS M and multiple response optimization utilizing the polynomial equation were used to search for the optimal coating formulation with a specific release rate at different time intervals.
Desirability function was used for single and multiple response optimization.
A multiple response optimization of styrene butadiene rubber (SBR) emulsion batch polymerization is proposed.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com