TITLE:
Predictive Models for Optimisation of Acetone Mediated Extraction of Polyphenolic Compounds from By-Product of Cider Production
AUTHORS:
Salis Ibrahim, Regina Santos, Steve Bowra
KEYWORDS:
Cider Apple Pomace, Predictive Models, Optimisation, Polyphenolic Compounds
JOURNAL NAME:
Advances in Chemical Engineering and Science,
Vol.10 No.2,
March
27,
2020
ABSTRACT: Response surface methodology (RSM) was applied to provide predictive models for optimisation of extraction of selected polyphenolic compounds from cider apple pomace under aqueous acetone. The design of experiment (DoE) was conducted to evaluate the influence of acetone concentration % (v/v), solid-to solvent ratio % (w/v), temperature (˚C) and extraction time (min) and their interaction on phenolic contents, using the Central Composite Rotatable Design (CCRD). The experimental data were analysed to fit statistical models for recovery of phenolic compounds. The selected models were significant (P 0.05), except for Chlorogenic acid and Quercetin 3-glucoside which had significant lack of fits (P R2 > 0.9000 and adjusted reasonable agrees with predicted . Coefficient of variation