What is the difference between optimization using factorial screening and response surface methodology for plant extraction?
Screening aims to determine the most significant factors affecting a response variable, while response surface aims to get optimal results for a certain study based on a predetermined criteria. Best of luck!
Thank you for the answer Dr. Gerges. Can I assume that we need to do factorial screening prior to optimization analysis using response surface methodology?
Hello Jayesree Nagarajan
By response surface methodology actually we try to minimize our experiments and needed treatments to determine optimum condition. By this method we can save time and money and have a results better than full factorial method!!
This method determined effect of independent variable, interaction effect of this variables and ect and you can select optimum condition based on your selected values for outputs.
we don't need any test prior to optimization analysis using response surface methodology.
You can use one of the Minitab, SAS or design expert for RSM designs.
Good luck
If you have many factors, then you should do screening to find the most significant factors affecting the response variable. Afterwards, you can prepare an ANOVA study at more levels for each factor. Finally, you can do an optimization study to find the optimal factor levels that can achieve your study target.
Best of luck!
It is correct your assumption, you need to do factorial screening to found the significant factors
With this factors you can optimize, searching with a DOE the values that increase the most, your response (usually in a linnear response), in the moment that you found a "curve" you can use the response surface methodology
Thank you very much for the answers. Understand much better now! :)
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