Optimization process of moringa oleifera seed extract using artificial neural network (ANN)

The use of chlorine which causes disinfection of by-products is a major concern especially in the developed countries. There is the need to look for a cheap alternative such as the use of plant material as substitute for chemical disinfectant. Moringa oleifera is an extensively documented plant mat...

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Main Authors:	Idris Oseni, Munirat, Jami, Mohammed Saedi, Monsur, Hammed Ademola
Format:	Article
Language:	English
Published:	UTM Press 2019
Subjects:	TP155 Chemical engineering
Online Access:	http://irep.iium.edu.my/79018/ http://irep.iium.edu.my/79018/ http://irep.iium.edu.my/79018/ http://irep.iium.edu.my/79018/1/1104-6293-1-PB.pdf

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spelling	iium-790182020-02-25T06:49:03Z http://irep.iium.edu.my/79018/ Optimization process of moringa oleifera seed extract using artificial neural network (ANN) Idris Oseni, Munirat Jami, Mohammed Saedi Monsur, Hammed Ademola TP155 Chemical engineering The use of chlorine which causes disinfection of by-products is a major concern especially in the developed countries. There is the need to look for a cheap alternative such as the use of plant material as substitute for chemical disinfectant. Moringa oleifera is an extensively documented plant material used for the treatment of drinking water. Its seed extracts contain active agents that having excellent coagulation properties and exerting in-vitro bactericidal activity. However, lack of available literature on the statistical optimization using artificial neural network (ANN) for inactivation kinetics of the seed extract using different disinfection models is the major aspect that need to be explored. This study was conducted to develop operation parameters using ANN for the seed extracts to be used as disinfectant for water treatment. The optimization process based on statistical experimental design using artificial neural network (ANN) in MATLAB 2012A was used to identify and determine the optimum process conditions. The multivariate regression analysis of the disinfection kinetic models was analyzed using SPSS version 20 and the final application of the optimized process conditions with river water was evaluated. The statistical analysis of optimization results using ANN gave a high coefficient of determination (R2) of 0.9992 and 0.9886 for E.coli. The model developed was verified and the optimum process parameters were 124 mg/L dosage, 65 minutes of contact time, 110 rpm mixing rate for E.coli bacterial strain. The order of reaction followed second order and the inactivation kinetics showed that modified Hom model was best fitted the disinfection process with R2 of 0.711. The findings from the application of the seed extract to river water showed that the removal efficiency for the seed extract with over 99.98% reduction of heterotrophic bacteria after the disinfection process. Hence, the findings of this study showed that defatted Moringa oleifera seed extract using the salt extraction method could be used as a disinfectant. This extract was recommended to be used in small communities and in emergency situations UTM Press 2019-03 Article PeerReviewed application/pdf en http://irep.iium.edu.my/79018/1/1104-6293-1-PB.pdf Idris Oseni, Munirat and Jami, Mohammed Saedi and Monsur, Hammed Ademola (2019) Optimization process of moringa oleifera seed extract using artificial neural network (ANN). Malaysian Journal of Fundamental and Applied Sciences, 15 (2 (March-April)). pp. 254-259. ISSN 2289-5981 E-ISSN 2289-599X https://mjfas.utm.my/index.php/mjfas/article/view/1104/pdf 10.11113/mjfas.v15n2.1104
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TP155 Chemical engineering
spellingShingle	TP155 Chemical engineering Idris Oseni, Munirat Jami, Mohammed Saedi Monsur, Hammed Ademola Optimization process of moringa oleifera seed extract using artificial neural network (ANN)
description	The use of chlorine which causes disinfection of by-products is a major concern especially in the developed countries. There is the need to look for a cheap alternative such as the use of plant material as substitute for chemical disinfectant. Moringa oleifera is an extensively documented plant material used for the treatment of drinking water. Its seed extracts contain active agents that having excellent coagulation properties and exerting in-vitro bactericidal activity. However, lack of available literature on the statistical optimization using artificial neural network (ANN) for inactivation kinetics of the seed extract using different disinfection models is the major aspect that need to be explored. This study was conducted to develop operation parameters using ANN for the seed extracts to be used as disinfectant for water treatment. The optimization process based on statistical experimental design using artificial neural network (ANN) in MATLAB 2012A was used to identify and determine the optimum process conditions. The multivariate regression analysis of the disinfection kinetic models was analyzed using SPSS version 20 and the final application of the optimized process conditions with river water was evaluated. The statistical analysis of optimization results using ANN gave a high coefficient of determination (R2) of 0.9992 and 0.9886 for E.coli. The model developed was verified and the optimum process parameters were 124 mg/L dosage, 65 minutes of contact time, 110 rpm mixing rate for E.coli bacterial strain. The order of reaction followed second order and the inactivation kinetics showed that modified Hom model was best fitted the disinfection process with R2 of 0.711. The findings from the application of the seed extract to river water showed that the removal efficiency for the seed extract with over 99.98% reduction of heterotrophic bacteria after the disinfection process. Hence, the findings of this study showed that defatted Moringa oleifera seed extract using the salt extraction method could be used as a disinfectant. This extract was recommended to be used in small communities and in emergency situations
format	Article
author	Idris Oseni, Munirat Jami, Mohammed Saedi Monsur, Hammed Ademola
author_facet	Idris Oseni, Munirat Jami, Mohammed Saedi Monsur, Hammed Ademola
author_sort	Idris Oseni, Munirat
title	Optimization process of moringa oleifera seed extract using artificial neural network (ANN)
title_short	Optimization process of moringa oleifera seed extract using artificial neural network (ANN)
title_full	Optimization process of moringa oleifera seed extract using artificial neural network (ANN)
title_fullStr	Optimization process of moringa oleifera seed extract using artificial neural network (ANN)
title_full_unstemmed	Optimization process of moringa oleifera seed extract using artificial neural network (ANN)
title_sort	optimization process of moringa oleifera seed extract using artificial neural network (ann)
publisher	UTM Press
publishDate	2019
url	http://irep.iium.edu.my/79018/ http://irep.iium.edu.my/79018/ http://irep.iium.edu.my/79018/ http://irep.iium.edu.my/79018/1/1104-6293-1-PB.pdf
first_indexed	2023-09-18T21:51:10Z
last_indexed	2023-09-18T21:51:10Z
_version_	1777413778934071296

Optimization process of moringa oleifera seed extract using artificial neural network (ANN)

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