Oil Extraction from Butter Fruit (Dacryodes Edulis) Seeds and its Optimization via Response Surface and Artificial Neural Network

Authors

  • T. F. Adepoju Akwa Ibom State University
  • I. O. Esu Akwa-Ibom, State University, Ikot Akpaden, Nigeria
  • O. A. Olu-Arotiowa Ladoke Akintola University of Technology, Ogbomosho
  • E. Blessed University of Ilorin, Kwara State, Nigeria

Keywords:

African Pear, response surface methodology, artificial neural network, optimization, extraction, physicochemical properties.

Abstract

In this study, oil was extracted from butter fruit (Dacrydes edulis). To model and optimize the process conditions of oil extraction, Response Surface Methodology (RSM) and Artificial Neural Network (ANN) were used. Physicochemical analysis of the oil was carried out in order to determine the suitable of oil for industrial applications. Dacryodes edulis seeds were collected from Ikot Abasi Village in Eket Local Government of Akwa Ibom State, Nigeria. The seed was washed with clean water to remove dirt, and open with a sharp stainless knife to remove the seed from the pulp. The seeds were cut into small pieces and sundried for 5 days and were grinded into powder. Oil extraction from the powder seed was carried out using Sohxlet extraction method. The experiment was designed using Box-Behnken Design approach on three levels, three factors which generated 17 experimental runs. Independent factors considered were extraction time (X1), solvent volume (X2) and sample weight (X3). The accuracy of the regression model obtained from the optimization software was determined using the co-efficient of determination (R2). Results showed the highest oil yield of 17.878% (w/w) was obtained at solvent volume of 200 ml, sample weight of 50 g and extraction time of 55 min, respectively. However, response surface methodology predicted an oil yield of 17.826% (w/w), while the artificial neural network predicted 17.875% (w/w) at the same variables condition. The predicted values were validated in triplicate, and an average of 17.46% (w/w) and 17.72% (w/w) were obtained for RSM and ANN, respectively. The predicted values obtained were well within the range predicted. The coefficient of determination, which determines the model accuracy, was obtained to be 0.8454 for RSM and 0.8712 for ANN. Physicochemical analysis of the oil showed the oil is highly unsaturated with high saponification value and high iodine value. The study concluded that Dacryodes edulis seeds are found to be rich in oil and the oil can be applicable in industries as raw materials for products formation.

Author Biographies

I. O. Esu, Akwa-Ibom, State University, Ikot Akpaden, Nigeria

Chemical/Petrochemical Engineering Department

Graduate Assitant

O. A. Olu-Arotiowa, Ladoke Akintola University of Technology, Ogbomosho

Chemical Engineering

Lecturer

E. Blessed, University of Ilorin, Kwara State, Nigeria

Department of Agricultural Engineering, Master's student

References

Adebayo, S.E., Orhevba, B.A., Adeoye, P.A., Musa, J.J., Fase, O.J. (2012). Solvent Extraction And Characterization Of Oil From African Star Apple (Chrysophyllum Albidum) Seeds. Academic Research International Journal ISSN-L: 2223-9553, ISSN: 2223-9944 Vol. 3, No. 2 pp.178-183.
Adepoju, T.F., Eyibio, U.P., (2016). Comparative study of Response Surface Methodology (RSM) and Artificial Neural Network (ANN) on Oil Extraction from Citrus sinensis Oilseed and Its Quality Characterization. Chemistry Research Journal, 2016, 1(5):37-50.
AOAC, (1990). Official method of the analysis of the association of official analytical chemists.15th Edn., Washington DC, USA;Association of official Analytical Chemists.
Mohammed M. A.,W Babagana G., Bitrus K. H., Shettima A. K., (2015). Soxhlet Extraction And Characterization Of Oil From Canarium Schweinfurthii (Black Date) Fruits For Domestic Purpose. Applied Research Journal Vol.1, Issue, 2, pp.41-45.
Nwosuagwu U.H., Onuegbu, C.N., and Nkwoala C.C., (2009). The chemical properties of African pear pulp at different stages of fruit development. International NGO Journal Vol. 4 (9), pp. 380-385.
Ogunsuyi, H.O. (2015). Production of biodiesel using African pear (Dacryodes edulis) seed-oil as feedstock. Academia Journal of Biotechnology 3(5): pp. 85-92.
Okunola, A.A. and Adepoju, T.F., (2015). Modelling and optimization of Extraction of oil from Sesamum Indicum seeds: A case study of Response Surface Methodology vs Artificial Neural Network. . International Journal of Chemistry and Materials Research, 2015, 3(2): 41-52.
Ugbogu, A. E., Akubugwo, E. I., Uhegbu, F. O., Chinyere, C. G., Ugbogu, O. C., Oduse, K. A.,(2014). Quality assessment profile of Jatropha curcas (L) seed oil from Nigeria. International Food Research Journal 21(2): pp. 735-741.

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Published

2019-03-11

Issue

Vol. 16 No. 2 (2019)

Section

Articles

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