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Modelling of Polyphenol Recovery from Olive Pomace by Response Surface Methodology
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DOI: https://doi.org/10.15866/iremos.v7i6.4243
Abstract
Factorial design and Response Surface Methodology (RSM) were used to model the recovery of polyphenols from olive pomace (OP) by solvent extraction. Experiments carried out according to a Central Composite Design (CCD) allowed evaluation of the effects of temperature (T), extraction time (E), solvent composition (C) and liquid-to-solid ratio (R) on the yield of polyphenol extraction. Statistical analysis of the results showed that T was the most influential factor, followed by E, R and C. A reduced polynomial model was developed by the stepwise regression method. The model was checked by performing validation experiments both inside and outside the factorial region. A very good agreement was observed between experimental and calculated extraction yields, thus supporting the use of the model to quantitatively describe the recovery of polyphenols from OP.
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