Author(s)

Salis Ibrahim^1*, Regina Santos², Steve Bowra³

¹University for Development Studies, Tamale, Ghana.
²University of Birmingham, Edgbaston, Birmingham, UK.
³Department of Research and Development, Phytatec (UK) Ltd., Plas Gogerddan, Aberystwyth, UK.

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) and insignificant lack of fits (P > 0.05), except for Chlorogenic acid and Quercetin 3-glucoside which had significant lack of fits (P < 0.05). All models had satisfactory level of adequacies with coefficients of regression R² > 0.9000 and adjusted   reasonable agrees with predicted . Coefficient of variation < 5% for each determination at the 95% confidence interval. These models could be relied upon to achieve optimal concentrations of polyphenolic compounds for applications in nutraceutical, pharmaceutical and cosmetic industries.

Cider Apple Pomace, Predictive Models, Optimisation, Polyphenolic Compounds

Ibrahim, S. , Santos, R. and Bowra, S. (2020) Predictive Models for Optimisation of Acetone Mediated Extraction of Polyphenolic Compounds from By-Product of Cider Production. Advances in Chemical Engineering and Science, 10, 81-98. doi: 10.4236/aces.2020.102006.