Extraction of α-mangostin from Garcinia mangostana L. using alternative solvents: Computational predictive and experimental studies
Highlights
- •
- Evaluation of alternative green solvents for the extraction of α-mangostin fromG. mangostana.
- •
- Computational predictive and experimental studies were compared.
- •
- The COSMO-RS model gave the best prediction for extractability that compared to the experimental values.
- •
- Ethyl lactate, DMC, 2-MeTHF, ethyl acetate and ethanol were potential alternative green solvents.
Abstract
This study evaluated the performance of alternative green solvents, i.e. d-limonene, dimethylcarbonate (DMC), ethanol, ethyl acetate, ethyl lactate and methyltetrahydrofuran (MeTHF) compared to the petroleum based dichloromethane, for extraction of α-mangostin from Garcinia mangostana pericarps. The Hansen solubility parameters (HSPs) were used to explain the dissolution behavior of the solutes and solvents, and the conductor-like screening model for realistic solvation. The (COSMO-RS), a statistical thermodynamic approach based on the results of quantum chemical calculations for comprehending the dissolving mechanisms were used to predict the extraction prediction. On the basis of the Hansen analysis, dichloromethane was the most suitable solvent for extraction of α-mangostin. However, COSMO-RS analysis showed a higher solubility of α-mangostin in ethyl lactate, DMC, MeTHF, ethyl acetate and ethanol. Moreover, the experimental studies using a classical reflux extraction followed by a quantitative HPLC analysis of α-mangostin showed similar results to the predictive values from the COSMO-RS model. The α-mangostin levels extracted by ethyl lactate, DMC, MeTHF, ethyl acetate and ethanol were higher than those using dichloromethane and d-limonene. The results support the potential use of ethyl lactate, DMC, MeTHF, and ethanol as alternative green solvents for the preparation of α-mangostin extracts.
Keywords
- Green solvents;
- Extraction;
- Garcinia mangostana;
- Hansen;
- COSMO-RS
Copyright © 2015 Elsevier Ltd. All rights reserved.