Extraction and Optimization of Oil from Sesame Seed By using n Hexane Solvent

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Date

2018-06-05

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Addis Ababa University

Abstract

Optimization of sesame oil extraction using response surface methodology (RSM) was carried out in this study. The effects of three factors (moisture content of seed, extraction temperature and extraction time) on the oil yield obtained from the seed were considered. With the aid of Design Expert and using the central composite design of the response surface methodology, twenty (20) experiments were generated and run. Using n-hexane as the solvent, each experimental run was carried out in 100ml Soxhlet extraction apparatus. The results obtained from the experiments together with the factors considered during the experiments were modelled and analyzed using a quadratic model based on observations made during the model analysis. The reults obtained from the quadratic model for this extraction were R-squared, the adjusted R-squared and the predicted R-squared values of the developed and modified quadratic model were 0.9986, 0.9975 and 0.9955. Also, with the aid of the Design Expert, the optimum parameters of the process were estimated to be moisture content of 6%, extraction temperature of 83 oC and extraction time of 7 hr. It was finally concluded that the optimum values of the parameters given by the software were genuine ones, because the validation of the optimum values obtained experimentally showed a very good conformity between the predicted optimum oil yield and the experimental one. The quadratic models developed predicted 55.8% as the maximum oil yield while the one obtained from the experiment was found to be 50.17%. Therefore, the application of response surface methodology to optimize oil extraction from sesame seed has been successfully demonstrated.

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Keywords

hexane Solvent, Sesame Seed, Optimization, Extraction

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