Optimization of Bauhinia monandra seed oil extraction via artificial neural network and response surface methodology: A potential biofuel candidate

•Bauhinia monandra seed oil was extracted using solvent extraction method.•The extraction process was modeled and optimized using RSM and ANN.•Fatty acids analysis of the oil showed that it is highly unsaturated.•Properties of the oil showed that it is a potential candidate for biodiesel production....

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Bibliographic Details
Published in:Industrial crops and products 2015-05, Vol.67, p.387-394
Main Authors: Akintunde, Aramide M., Ajala, Sheriff O., Betiku, Eriola
Format: Article
Language:English
Subjects:
Artificial neural network
Bauhinia
Bauhinia monandra
Coefficients
Extraction
Learning theory
Mathematical models
Modeling
Neural networks
Oilseed
Optimization
Response surface methodology
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Summary:•Bauhinia monandra seed oil was extracted using solvent extraction method.•The extraction process was modeled and optimized using RSM and ANN.•Fatty acids analysis of the oil showed that it is highly unsaturated.•Properties of the oil showed that it is a potential candidate for biodiesel production. The influence of sample weight, time, and solvent type and their reciprocal interactions on Bauhinia monandra seed oil (BMSO) yield using artificial neural network (ANN) and response surface methodology (RSM) was investigated. Also, the BMSO obtained was characterized to determine its aptness for oleochemical industry. Numerically predicted optimum values for the extraction process using RSM model were found to be the same for the developed ANN model. The optimum values were sample weight of 60g, time of 100min and petroleum ether with a corresponding BMSO yield of 14.8wt%. Performance evaluation of the models by multiple coefficient of correlation (R), coefficient of determination (R2) and absolute average deviation (AAD) showed that the ANN model was marginally better (R=0.9995, R2=0.9991, AAD=0.27%) than the RSM model (R=0.9993, R2=0.9986, AAD=0.49%) in predicting BMSO yield. Physicochemical properties of the BMSO such as acid value (7.56mg KOH/g), indicated that it is non-edible and the fatty acids profile showed that the oil was highly unsaturated (87.9%), which makes it a potential candidate for biodiesel production.
ISSN:0926-6690
1872-633X
DOI:10.1016/j.indcrop.2015.01.056