2014
DOI: 10.1016/j.indcrop.2013.11.009
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Optimization of oil yield of Phaleria macrocarpa seed using response surface methodology and its fatty acids constituents

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Cited by 35 publications
(24 citation statements)
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“…RSM can be used to evaluate the effects of multiple factors and their interactions with one or more response variables (Xu et al, 2013;Azmir et al, 2014). Different RSM methods such as Box-Behnken design (BBD), central composite design (CCD) and three-level full factorial design (TFFD) have been widely used.…”
Section: Introductionmentioning
confidence: 99%
“…RSM can be used to evaluate the effects of multiple factors and their interactions with one or more response variables (Xu et al, 2013;Azmir et al, 2014). Different RSM methods such as Box-Behnken design (BBD), central composite design (CCD) and three-level full factorial design (TFFD) have been widely used.…”
Section: Introductionmentioning
confidence: 99%
“…RSM can be effectively used to evaluate the effects of multiple factors and their interactions on one or more response variables (Xu et al, 2013;Azmir et al, 2014). One of the advantages of RSM is that it reduces the number of experiments and provides a mathematical model (Karacabey and Mazza, 2010;Nagendra et al, 2011;Wang et al, 2012).…”
Section: Introductionmentioning
confidence: 99%
“…So far, there is a lack of literature about multivariate optimization strategies such as response surface methodology (RSM) for PCs, a tool first introduced by Box and Wilson (Box & Wilson, 1951). RSM can be used to evaluate the effects of multiple factors and their interactions with one or more response variables via statistical analysis of a mathematical model (Xu et al, 2013;Azmir et al, 2014;Díaz-de-Cerio et al, 2017). Ot has been successfully used in the extraction of polyphenols from natural sources (Zeković et al, 2014;Chen et al, 2015).…”
Section: Introductionmentioning
confidence: 99%