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Statistical Modelling and Optimisation of Bitter Kola (Garcinia kola) Extract Yield using Full Factorial Design

Authors: Obaita D, Amenaghawon NA


A three variable full factorial design (FFD) was employed to optimise the yield of bitter kola extract. The three variables studied were extracting time, sample weight and solvent volume. Statistical analysis of the result showed that all the variables had a significant effect on the yield of bitter kola extract. A two-factor-interaction model (2FI) was found to best represent the real relationship between the independent variables and the response (R2=0.9980). The optimal conditions to attain the possible maximum yield (19.26%) of the bitter kola seed extract were time (119.99 mins), volume (300 ml) and mass of sample (50 g). Analysis of the extract using Gas Chromatography-Mass Spectrometer (GC-MS) revealed the presence some pharmaceuticals and bioactive compounds such as guaifenesin, isoxazole, propionitrile etc. This suggests possible pharmaceutical applications of the extract.

Affiliations: Department of Chemical Engineering, Faculty of Engineering, University of Benin, Benin City, Nigeria.
Keywords: Garcinia Kola, Bioactive Compounds, Full Factorial Design, ANOVA, Phytochemicals
Published date: 2019/12/30

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ISSN: 2635-3342 (Print)

ISSN: 2635-3350 (Online)

DOI: In progress

ISI Impact Factor: In progress

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Chemical Engineering Department, Faculty of Engineering, University of Benin, PMB 1154, Ugbowo, Benin City, Edo State, Nigeria.