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...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Emilio, Carina Alicia, Litter, Marta Irene
Publicado:	2002
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:	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0018019X_v85_n3_p799_Emilio 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	paper:paper_0018019X_v85_n3_p799_Emilio
record_format	dspace
spelling	paper:paper_0018019X_v85_n3_p799_Emilio2023-06-08T14:39:09Z Semiempirical modeling with application of artificial neural networks for the photocatalytic reaction of ethylenediaminetetraacetic acid (EDTA) over titanium oxide (TiO2) Emilio, Carina Alicia Litter, Marta Irene 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. 2002 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0018019X_v85_n3_p799_Emilio 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, Carina Alicia Litter, Marta Irene 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.
author	Emilio, Carina Alicia Litter, Marta Irene
author_facet	Emilio, Carina Alicia Litter, Marta Irene
author_sort	Emilio, Carina Alicia
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)
publishDate	2002
url	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0018019X_v85_n3_p799_Emilio http://hdl.handle.net/20.500.12110/paper_0018019X_v85_n3_p799_Emilio
work_keys_str_mv	AT emiliocarinaalicia semiempiricalmodelingwithapplicationofartificialneuralnetworksforthephotocatalyticreactionofethylenediaminetetraaceticacidedtaovertitaniumoxidetio2 AT littermartairene semiempiricalmodelingwithapplicationofartificialneuralnetworksforthephotocatalyticreactionofethylenediaminetetraaceticacidedtaovertitaniumoxidetio2
_version_	1768542628040671232

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

Ejemplares similares