dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorGuimaraes, Oswaldo L. C.
dc.creatorQueiroz de Aquino, Henrique Otavio
dc.creatorOliveira, Ivy S.
dc.creatorVillela, Darcy Nunes
dc.creatorIzario, Helcio Jose
dc.creatorSiqueira, Adriano Francisco
dc.creatorSilva, Messias Borges
dc.date2014-05-20T15:28:50Z
dc.date2016-10-25T18:04:02Z
dc.date2014-05-20T15:28:50Z
dc.date2016-10-25T18:04:02Z
dc.date2007-08-01
dc.date.accessioned2017-04-06T00:09:22Z
dc.date.available2017-04-06T00:09:22Z
dc.identifierChemical Engineering & Technology. Weinheim: Wiley-v C H Verlag Gmbh, v. 30, n. 8, p. 1134-1139, 2007.
dc.identifier0930-7516
dc.identifierhttp://hdl.handle.net/11449/38573
dc.identifierhttp://acervodigital.unesp.br/handle/11449/38573
dc.identifier10.1002/ceat.200700113
dc.identifierWOS:000248710900022
dc.identifierhttp://dx.doi.org/10.1002/ceat.200700113
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/881673
dc.descriptionThis communication proposes the use of neural networks in the prediction of residual concentrations of hydrogen peroxide from the treatment of effluents through Advanced Oxidative Processes (AOP's), in particular, the photo-Fenton process. To verify the efficiency of the oxidative process, the Chemical Oxygen Demand (COD) parameter, the values of which may be modified by the presence of oxidizing agents such as residual hydrogen peroxide, is frequently taken in account. The analysis of the H2O2 interference was performed by spectrophotometry at 450 nm wavelength, via the monitoring of the reaction of ammonia with metavanadate. The results of the hydrogen peroxide residual concentration were modeled via a feedforward neural network, with the correlation coefficients between actual and predicted values above 0.96, indicating good prediction capacity.
dc.languageeng
dc.publisherWiley-Blackwell
dc.relationChemical Engineering & Technology
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjecthydrogen peroxide
dc.subjectneural networks
dc.subjectphoto-Fenton
dc.titlePrediction via neural networks of the residual hydrogen peroxide used in photo-fenton processes for effluent treatment
dc.typeOtro


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