2001
DOI: 10.3989/gya.2001.v52.i6.346
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Modeling of oil extraction from olive foot cake using hexane

Abstract: RESUMENModelo matemático para la extracción de aceite de orujo usando hexano.En este artículo se estudia la influencia de los factores que pueden tener efecto en la extracción del aceite de orujo usando hexano. Se propone a partir de los resultados experimentales, un modelo matemático para el cálculo del rendimiento de la extracción. Los tests estadísticos utilizados para obtener este modelo mostraron que el rendimiento no depende de la granulometría ni de la velocidad de agitación, pero si depende de la tempe… Show more

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Cited by 20 publications
(15 citation statements)
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“…2(b) on the plot of oil yield against temperature used, which showed an increase in the oil yield with increasing temperature. The temperature trend observed was reported in previous works (Kadi et al, 2001;Amarni et al, 2010). This can be explained by the fact that the rise of the temperature increases the solubility and the easy diffusion of the solutes by reducing the viscosity of the oil.…”
Section: Effect Of Temperaturesupporting
confidence: 90%
“…2(b) on the plot of oil yield against temperature used, which showed an increase in the oil yield with increasing temperature. The temperature trend observed was reported in previous works (Kadi et al, 2001;Amarni et al, 2010). This can be explained by the fact that the rise of the temperature increases the solubility and the easy diffusion of the solutes by reducing the viscosity of the oil.…”
Section: Effect Of Temperaturesupporting
confidence: 90%
“…2 show an increase in the oil yield with increasing temperature. As reported in previous work (Kadi & Fellag, 2001), this variation in the yield can be explained by the fact that the rise of the temperature increases the solubility and the easiness of diffusion of the solute by reducing the viscosity of the oil. Fig.…”
Section: Preliminary Studymentioning
confidence: 84%
“…Depending on the number and type of process parameters different experimental designs can be implemented to assess the influence of the process parameters on the yield. By using polynomial regression a statistical model of the plant-based extraction can be created [32][33][34][35]. Statistical models developed with RSM are able to describe the process only in a predefined parameter range by curve fitting of the experimental results.…”
Section: Statistical Models With Response Surface Methodologymentioning
confidence: 99%