Semiempirical modeling with application of artificial neural networks for the photocatalytic reaction of ethylenediaminetetraacetic acid (EDTA) over titanium oxide (TiO2)

The use of chemometric techniques, full factorial and Doehlert experimental designs, multivariate analysis by MANOVA (=multiple-way analysis of the variance), and artificial neural networks (ANNs) for the photocatalytic reaction of ethylenediaminetetraacetic acid (EDTA) over TiO2 in aqueous solution...

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Autores principales:	Emilio, C.A., Litter, M.I., Magallanes, J.F.
Formato:	JOUR
Materias:	Correlation methods Irradiation Neural networks pH Statistical methods Titanium oxides Ethylenediaminetetraacetic acid (EDTA) Photocatalysis edetic acid titanium dioxide aqueous solution article artificial neural network catalysis chemical interaction chemical reaction concentration (parameters) irradiation molecular model photochemistry priority journal
Acceso en línea:	http://hdl.handle.net/20.500.12110/paper_0018019X_v85_n3_p799_Emilio
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

id	todo:paper_0018019X_v85_n3_p799_Emilio
record_format	dspace
spelling	todo:paper_0018019X_v85_n3_p799_Emilio2023-10-03T14:15:07Z Semiempirical modeling with application of artificial neural networks for the photocatalytic reaction of ethylenediaminetetraacetic acid (EDTA) over titanium oxide (TiO2) Emilio, C.A. Litter, M.I. Magallanes, J.F. Correlation methods Irradiation Neural networks pH Statistical methods Titanium oxides Ethylenediaminetetraacetic acid (EDTA) Photocatalysis edetic acid titanium dioxide aqueous solution article artificial neural network catalysis chemical interaction chemical reaction concentration (parameters) irradiation molecular model pH photochemistry priority journal The use of chemometric techniques, full factorial and Doehlert experimental designs, multivariate analysis by MANOVA (=multiple-way analysis of the variance), and artificial neural networks (ANNs) for the photocatalytic reaction of ethylenediaminetetraacetic acid (EDTA) over TiO2 in aqueous solution is described. Based on the previous knowledge of the photocatalytic system, variables such as EDTA concentration, photocatalyst concentration, pH, and irradiation time were chosen to build a set of experiments for the analysis. By means of MANOVA, the statistical significance of the individual variables and the inspection of interactions between them were analyzed. By the use of ANNs, correlation plots among variables may help to build a semiempirical modeling for understanding and prediction the behavior of the system, optimizing parameters valuable for further technological applications. Fil:Emilio, C.A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Litter, M.I. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_0018019X_v85_n3_p799_Emilio
institution	Universidad de Buenos Aires
institution_str	I-28
repository_str	R-134
collection	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic	Correlation methods Irradiation Neural networks pH Statistical methods Titanium oxides Ethylenediaminetetraacetic acid (EDTA) Photocatalysis edetic acid titanium dioxide aqueous solution article artificial neural network catalysis chemical interaction chemical reaction concentration (parameters) irradiation molecular model pH photochemistry priority journal
spellingShingle	Correlation methods Irradiation Neural networks pH Statistical methods Titanium oxides Ethylenediaminetetraacetic acid (EDTA) Photocatalysis edetic acid titanium dioxide aqueous solution article artificial neural network catalysis chemical interaction chemical reaction concentration (parameters) irradiation molecular model pH photochemistry priority journal Emilio, C.A. Litter, M.I. Magallanes, J.F. Semiempirical modeling with application of artificial neural networks for the photocatalytic reaction of ethylenediaminetetraacetic acid (EDTA) over titanium oxide (TiO2)
topic_facet	Correlation methods Irradiation Neural networks pH Statistical methods Titanium oxides Ethylenediaminetetraacetic acid (EDTA) Photocatalysis edetic acid titanium dioxide aqueous solution article artificial neural network catalysis chemical interaction chemical reaction concentration (parameters) irradiation molecular model pH photochemistry priority journal
description	The use of chemometric techniques, full factorial and Doehlert experimental designs, multivariate analysis by MANOVA (=multiple-way analysis of the variance), and artificial neural networks (ANNs) for the photocatalytic reaction of ethylenediaminetetraacetic acid (EDTA) over TiO2 in aqueous solution is described. Based on the previous knowledge of the photocatalytic system, variables such as EDTA concentration, photocatalyst concentration, pH, and irradiation time were chosen to build a set of experiments for the analysis. By means of MANOVA, the statistical significance of the individual variables and the inspection of interactions between them were analyzed. By the use of ANNs, correlation plots among variables may help to build a semiempirical modeling for understanding and prediction the behavior of the system, optimizing parameters valuable for further technological applications.
format	JOUR
author	Emilio, C.A. Litter, M.I. Magallanes, J.F.
author_facet	Emilio, C.A. Litter, M.I. Magallanes, J.F.
author_sort	Emilio, C.A.
title	Semiempirical modeling with application of artificial neural networks for the photocatalytic reaction of ethylenediaminetetraacetic acid (EDTA) over titanium oxide (TiO2)
title_short	Semiempirical modeling with application of artificial neural networks for the photocatalytic reaction of ethylenediaminetetraacetic acid (EDTA) over titanium oxide (TiO2)
title_full	Semiempirical modeling with application of artificial neural networks for the photocatalytic reaction of ethylenediaminetetraacetic acid (EDTA) over titanium oxide (TiO2)
title_fullStr	Semiempirical modeling with application of artificial neural networks for the photocatalytic reaction of ethylenediaminetetraacetic acid (EDTA) over titanium oxide (TiO2)
title_full_unstemmed	Semiempirical modeling with application of artificial neural networks for the photocatalytic reaction of ethylenediaminetetraacetic acid (EDTA) over titanium oxide (TiO2)
title_sort	semiempirical modeling with application of artificial neural networks for the photocatalytic reaction of ethylenediaminetetraacetic acid (edta) over titanium oxide (tio2)
url	http://hdl.handle.net/20.500.12110/paper_0018019X_v85_n3_p799_Emilio
work_keys_str_mv	AT emilioca semiempiricalmodelingwithapplicationofartificialneuralnetworksforthephotocatalyticreactionofethylenediaminetetraaceticacidedtaovertitaniumoxidetio2 AT littermi semiempiricalmodelingwithapplicationofartificialneuralnetworksforthephotocatalyticreactionofethylenediaminetetraaceticacidedtaovertitaniumoxidetio2 AT magallanesjf semiempiricalmodelingwithapplicationofartificialneuralnetworksforthephotocatalyticreactionofethylenediaminetetraaceticacidedtaovertitaniumoxidetio2
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Semiempirical modeling with application of artificial neural networks for the photocatalytic reaction of ethylenediaminetetraacetic acid (EDTA) over titanium oxide (TiO2)

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