2014
DOI: 10.1016/j.lwt.2014.01.015
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Response surface methodology applied to supercritical carbon dioxide extraction of Piper nigrum L. essential oil

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Cited by 34 publications
(15 citation statements)
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“…These variables and related response data are presented in Table . A polynomial equation of second order for predicting OD values ( Y ) was used in the CCD, which is given as : leftYleft=leftβ0+i=13βiXi+i=13βiiXi2left+i=12j=2,i<j3βijXiXj,where Y is the predicted response (OD value), β 0 is the offset term, β i is the model coefficient for linear effect, β ii is the quadratic effect, and β ij is the interaction effect; X i and X j represent different independent variables, respectively.…”
Section: Methodsmentioning
confidence: 99%
“…These variables and related response data are presented in Table . A polynomial equation of second order for predicting OD values ( Y ) was used in the CCD, which is given as : leftYleft=leftβ0+i=13βiXi+i=13βiiXi2left+i=12j=2,i<j3βijXiXj,where Y is the predicted response (OD value), β 0 is the offset term, β i is the model coefficient for linear effect, β ii is the quadratic effect, and β ij is the interaction effect; X i and X j represent different independent variables, respectively.…”
Section: Methodsmentioning
confidence: 99%
“…Ejemplos representativos de estos procedimientos los constituyen los trabajos publicados sobre Vetiveria zizanioides (Danh, et al, 2009), Myrtus communis (Pereira, et al, 2013;Ghasemi, et al, 2011), Satureja hortensis (Khajeh, 2011), Pimpinella affinis (Dashtianeh, 2013), y Piper nigrum (Bagheri, et al, 2014). Debido al gran número de variables a explorar, se requiere una primera etapa de tamizaje para seleccionar un conjunto reducido de factores que optimicen el dato observable de interés, que, usualmente, se trata del rendimiento (Sharif, et al, 2014).…”
Section: Introductionunclassified
“…The design of the experiments, analysis of the results, and prediction of the responses were carried out with Design‐Expert software (version 7.0). The suitability of the response surface model was assessed with coefficient of determination ( R 2 ) analysis, model analysis, and the lack‐of‐fit test (Bagheri et al 2014). The analysis of variance (ANOVA) test was employed to evaluate the statistical significance of the model.…”
Section: Methodsmentioning
confidence: 99%