Malaysian Journal of Mathematical Sciences, December 2020, Vol. 14(S)
Special Issue: 2nd International Conference on Applied & Industrial Mathematics and Statistics 2019 (ICoAIMS 2019)
Statistical Analysis of Solvent Polarity Effects on Phytochemicals Extraction: Multiple Correspondence Analysis (MCA) Approach
Shah, S. R., Ukaegbu, C. I., Hamid, H. A., Rahim, M. H. A., and Chuan, Z. L.
Corresponding Email: samiur@ump.edu.my
Received date: 15 January 2020
Accepted date: 10 November 2020
Abstract:
Multiple correspondence analysis (MCA) was used in this study to statistically analyze the nature of the relationship between the polarity of
extraction solvents and the type of phytochemicals extracted from mushroom caps using solvents with different polarity. The caps of three mushrooms (Enoki, Buna shimeji, and Bunapi shimeji) were extracted with four solvents of varying polarities (water, methanol, acetone, and ethylacetate). The phytochemical content of the extracts was identified using UPLC-QTOF, followed by coding of the compounds and the subsequent MCA using SPSS® version 22. The MCA showed a positive correlation between the extraction solvents and the phytochemicals extracted from the mushrooms. A positive correlation of \(r=0.322\) was observed between the identi ed phytochemicals and the solvents used during the extraction process. The pattern of the phytochemicals clustering suggested that solvent polarity differentiated the groups of phytochemicals extractable from the mushrooms. It is, therefore, concluded that MCA is a valid statistical tool for the determination of the relationship between solvent polarity and the types of phytochemicals extracted using such solvents.
Keywords: Multiple correspondence analysis (MCA), correlation, mushroom phytochemicals, solvent polarity, statistical analysis
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