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...
Guardado en:
Autores principales: | , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Alma Mater Publishing House "Vasile Alecsandri" University of Bacau
2020
|
Materias: | |
Acceso en línea: | https://doaj.org/article/8a3bb51753394188ab6f186f5c67cdc5 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:8a3bb51753394188ab6f186f5c67cdc5 |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:8a3bb51753394188ab6f186f5c67cdc52021-12-02T18:55:10ZOPTIMIZATION OF OIL EXTRACTION FROM GARCINIA KOLA USING ARTIFICIAL NEURAL NETWORK AND RESPONSE SURFACE METHODOLOGY10.29081/jesr.v26i2.1712068-75592344-4932https://doaj.org/article/8a3bb51753394188ab6f186f5c67cdc52020-06-01T00:00:00Zhttp://www.jesr.ub.ro/1/article/view/171https://doaj.org/toc/2068-7559https://doaj.org/toc/2344-4932 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. SYLVESTER UWADIAEFAITH OVIESUBAMIDELE AYODELEAlma Mater Publishing House "Vasile Alecsandri" University of BacauarticleGarcinia kola, oil extraction, optimization, modeling, RSM, ANNTechnologyTEngineering (General). Civil engineering (General)TA1-2040ENJournal of Engineering Studies and Research, Vol 26, Iss 2 (2020) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Garcinia kola, oil extraction, optimization, modeling, RSM, ANN Technology T Engineering (General). Civil engineering (General) TA1-2040 |
spellingShingle |
Garcinia kola, oil extraction, optimization, modeling, RSM, ANN Technology T Engineering (General). Civil engineering (General) TA1-2040 SYLVESTER UWADIAE FAITH OVIESU BAMIDELE AYODELE OPTIMIZATION OF OIL EXTRACTION FROM GARCINIA KOLA USING ARTIFICIAL NEURAL NETWORK AND RESPONSE SURFACE METHODOLOGY |
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.
|
format |
article |
author |
SYLVESTER UWADIAE FAITH OVIESU BAMIDELE AYODELE |
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 |
publishDate |
2020 |
url |
https://doaj.org/article/8a3bb51753394188ab6f186f5c67cdc5 |
work_keys_str_mv |
AT sylvesteruwadiae optimizationofoilextractionfromgarciniakolausingartificialneuralnetworkandresponsesurfacemethodology AT faithoviesu optimizationofoilextractionfromgarciniakolausingartificialneuralnetworkandresponsesurfacemethodology AT bamideleayodele optimizationofoilextractionfromgarciniakolausingartificialneuralnetworkandresponsesurfacemethodology |
_version_ |
1718377280215973888 |