Application of response surface methodology as mathematical and statistical tools in natural product research
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Date
2019-10
Journal Title
Journal ISSN
Volume Title
Publisher
Open Science Publishers LLP
Abstract
Response Surface Methodology (RSM) models combined with experimental designs became popular in recentyears. Their advantages to analyze the interactive effects among different factors and the efficiency considerationsencouraged more researchers to conduct natural product research employed with these models. A review about basicprinciples of factorial designs, central composite designs, Box–Behnken designs, and Doehlert designs which utilizedalong with the RSM and their applications in natural product research is presented. The objective of this reviewwas to report various experimental design techniques and their applications in the field of natural product research.Furthermore, the characteristic of each design is also presented and the trends of RSM applications in natural productresearch are also discussed in this paper.
Description
Keywords
Box–Behnken design, central composite design, Doehlert design, factorial design, response surface methodology.
Citation
Florentinus Dika Octa Riswanto, Abdul Rohman, Suwidjiyo Pramono, Sudibyo Martono. Application of response surface methodology as mathematical and statistical tools in natural product research. Journal of Applied Pharmaceutical Science. 2019 Oct; 2019 Oct: 125-133