Modeling of methyl ester yield from Terminalia catappa L. kernel oil by artificial neural network and response surface methodology for possible industrial application

This study is on the modeling of methyl ester yield; obtained by the transesterification of Terminalia catappa L. kernel oil (TCKO), using Artificial Neural Network (ANN) and Response Surface Methodology (RSM). TCKO was obtained from the seeds/kernels of Terminalia catappa L tree, which is a member...

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Detalhes bibliográficos

Principais autores:	Chinedu Matthew Agu, Matthew Chukwudi Menkiti, Albert Chibuzor Agulanna, Bernad I. Okolo, Kenechi Nwosu-Obieogu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2022-02-01
coleção:	Cleaner Engineering and Technology
Assuntos:	Modeling Response surface methodology Terminalia catappa L. kernel Artificial neural network Methyl ester Gas chromatography-mass spectrometry (GC-MS)
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2666790821003207
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