MODELLING OF BINARY SOLVENT EXTRACTION OF CLOVE (SYZYGIUM AROMATICUM) OIL USING RESPONSE SURFACE METHODOLOGY
Publication Date : 01/08/2016
Modelling and optimization of oil yield in binary solvent extraction of clove oil using response surface methodology (RSM) were carried out in this study. The effects of two factors: extraction time and sol-vent/solvent ratio on the oil yield were investigated. A total of 13 experimental runs were generated using central composite design (CCD) in the Design Expert 6.0.6 version. A quadratic model was obtained to predict the oil yield and the Analysis of Variance (ANOVA) showed that the model was significant with P-value <0.0001and R2 value of 0.9962. The statistical model predicted the optimum oil yield to be 30.264% at the optimal condition of time 120 minutes and hexane/ethanol ratio of 1.00. GC-MS analyses of the oil indicated that the main components were eugenol acetate (46.82%), 16-octadecenoic acid methyl ester (16.46%), Hexadecanoic acid methyl ester (7.71%), 1,6,9-Tetradecatriene (6.14%) and stearic acid (3.66%). Physico-chemical properties of the oil indicated that acid value was 23.01 while the iodine value was 20.05 g I2/100 g oil. The oil was dark brown in colour with a pungent clove smell.
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