Abstract
Response Surface Methodology (RSM) models combined with experimental designs were became popular in the recent years. Their advantages to analyze the interactive effects among different factors and the efficiency considerations encouraged more researchers to conduct natural product research employed with these models. A review about basic principles of factorial designs, central composite designs, Box-Behnken designs, and Doehlert designs which utilized along with the RSM and their applications in natural product research is presented. The objective of this review was to report various experimental design techniques and their applications in the field of natural product research. Furthermore, the characteristic of each designs are also presented and the trends of RSM applications in natural product research are also discussed in this paper.
Highlights
Natural products can be described as products achieved from various natural sources such as plants, microbes, and animals
The Response Surface Methodology (RSM) designs were widely applied in the field of natural product research due to their advantages compared to the traditional one-variable-at-a-time design
There were a large number of publications related to RSM designs and their application
Summary
Natural products can be described as products achieved from various natural sources such as plants, microbes, and animals. Response surface methodology (RSM), a special type of experimental design, can be described as a collection of both mathematical and statistical techniques for designing, developing, improving, optimizing, and formulating of product designs where several variables potentially affect characteristics of products designs (Myers et al, 2009). This method improved the traditional optimization which has been carried out by evaluating the effect of one-variable-at-a-time. It is necessary to choose an appropriate experimental design before applying RSM This present review paper discusses various experimental designs with different basic principles and applications in natural product research
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