OPTIMIZATION OF OIL EXTRACTION FROM GARCINIA KOLA USING ARTIFICIAL NEURAL NETWORK AND RESPONSE SURFACE METHODOLOGY

The target of this investigation was to model and optimize selected process parameters when extracting oil from Garcinia kola. Artificial neural network (ANN) and Box-Behnken design (BBD) in response surface methodology (RSM) were used for the modelling and optimization of the process parameters. T...

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Main Authors: SYLVESTER UWADIAE, FAITH OVIESU, BAMIDELE AYODELE
Format: Article
Language:English
Published: Alma Mater Publishing House "Vasile Alecsandri" University of Bacau 2020-06-01
Series:Journal of Engineering Studies and Research
Subjects:
Online Access:http://www.jesr.ub.ro/1/article/view/171
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spelling doaj-8a3bb51753394188ab6f186f5c67cdc52021-10-02T17:43:18ZengAlma Mater Publishing House "Vasile Alecsandri" University of BacauJournal of Engineering Studies and Research2068-75592344-49322020-06-0126210.29081/jesr.v26i2.171OPTIMIZATION OF OIL EXTRACTION FROM GARCINIA KOLA USING ARTIFICIAL NEURAL NETWORK AND RESPONSE SURFACE METHODOLOGYSYLVESTER UWADIAEFAITH OVIESUBAMIDELE AYODELE The target of this investigation was to model and optimize selected process parameters when extracting oil from Garcinia kola. Artificial neural network (ANN) and Box-Behnken design (BBD) in response surface methodology (RSM) were used for the modelling and optimization of the process parameters. The optimized process values were 397.86 mL and 399.99 mL for solvent volume; 109.32 min and 107.55 min for extraction time; 72.64 g and 70 g for sample mass and maximum yields of 20.839 wt% and 20.488 wt% for RSM and ANN respectively. The highly positively correlated experimental and anticipated values validated the models. http://www.jesr.ub.ro/1/article/view/171Garcinia kola, oil extraction, optimization, modeling, RSM, ANN
collection DOAJ
language English
format Article
sources DOAJ
author SYLVESTER UWADIAE
FAITH OVIESU
BAMIDELE AYODELE
spellingShingle SYLVESTER UWADIAE
FAITH OVIESU
BAMIDELE AYODELE
OPTIMIZATION OF OIL EXTRACTION FROM GARCINIA KOLA USING ARTIFICIAL NEURAL NETWORK AND RESPONSE SURFACE METHODOLOGY
Journal of Engineering Studies and Research
Garcinia kola, oil extraction, optimization, modeling, RSM, ANN
author_facet SYLVESTER UWADIAE
FAITH OVIESU
BAMIDELE AYODELE
author_sort SYLVESTER UWADIAE
title OPTIMIZATION OF OIL EXTRACTION FROM GARCINIA KOLA USING ARTIFICIAL NEURAL NETWORK AND RESPONSE SURFACE METHODOLOGY
title_short OPTIMIZATION OF OIL EXTRACTION FROM GARCINIA KOLA USING ARTIFICIAL NEURAL NETWORK AND RESPONSE SURFACE METHODOLOGY
title_full OPTIMIZATION OF OIL EXTRACTION FROM GARCINIA KOLA USING ARTIFICIAL NEURAL NETWORK AND RESPONSE SURFACE METHODOLOGY
title_fullStr OPTIMIZATION OF OIL EXTRACTION FROM GARCINIA KOLA USING ARTIFICIAL NEURAL NETWORK AND RESPONSE SURFACE METHODOLOGY
title_full_unstemmed OPTIMIZATION OF OIL EXTRACTION FROM GARCINIA KOLA USING ARTIFICIAL NEURAL NETWORK AND RESPONSE SURFACE METHODOLOGY
title_sort optimization of oil extraction from garcinia kola using artificial neural network and response surface methodology
publisher Alma Mater Publishing House "Vasile Alecsandri" University of Bacau
series Journal of Engineering Studies and Research
issn 2068-7559
2344-4932
publishDate 2020-06-01
description The target of this investigation was to model and optimize selected process parameters when extracting oil from Garcinia kola. Artificial neural network (ANN) and Box-Behnken design (BBD) in response surface methodology (RSM) were used for the modelling and optimization of the process parameters. The optimized process values were 397.86 mL and 399.99 mL for solvent volume; 109.32 min and 107.55 min for extraction time; 72.64 g and 70 g for sample mass and maximum yields of 20.839 wt% and 20.488 wt% for RSM and ANN respectively. The highly positively correlated experimental and anticipated values validated the models.
topic Garcinia kola, oil extraction, optimization, modeling, RSM, ANN
url http://www.jesr.ub.ro/1/article/view/171
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AT faithoviesu optimizationofoilextractionfromgarciniakolausingartificialneuralnetworkandresponsesurfacemethodology
AT bamideleayodele optimizationofoilextractionfromgarciniakolausingartificialneuralnetworkandresponsesurfacemethodology
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