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dc.contributor.author
Cuellas, Anahí V.
dc.contributor.author
Oddone, Sebastián
dc.contributor.author
Mammarella, Enrique José
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dc.contributor.author
Rubiolo, Amelia Catalina
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dc.date.available
2016-12-01T16:29:53Z
dc.date.issued
2013-10-20
dc.identifier.citation
Cuellas, Anahí V.; Oddone, Sebastián; Mammarella, Enrique José; Rubiolo, Amelia Catalina; Hydrolysis of lactose: estimation of kinetic parameters using Artificial Neural Networks; David Publishing; Journal of Agricultural Science and Technology A; 2013; 10; 20-10-2013; 811-818
dc.identifier.issn
1939-1250
dc.identifier.uri
http://hdl.handle.net/11336/8578
dc.description.abstract
The analysis of any kinetic process involves the development of a mathematical model with predictive purposes. Generally, those models have characteristic parameters that should be estimated experimentally. A typical example is Michaelis-Menten model for enzymatic hydrolysis. Even though conventional kinetic models are very useful, they are only valid under certain experimental conditions. Besides, frequently large standard errors of estimated parameters are found due to the error of experimental determinations and/or insufficient number of assays. In this work, we developed an artificial neural network (ANN) to predict the performance of enzyme reactors at various operational conditions. The net was trained with experimental data obtained under different hydrolysis conditions of lactose solutions or cheese whey and different initial concentrations of enzymes or substrates. In all the experiments, commercial beta-galactosidase either free or immobilized in a chitosan support was used. The neural network developed in this study had an average absolute relative error of less than 5% even using few experimental data, which suggests that this tool provides an accurate prediction method for lactose hydrolysis
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
David Publishing
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc/2.5/ar/
dc.subject
Chesse Whey
dc.subject
Beta-Galactosidase
dc.subject
Lactose Hydrolysis
dc.subject
Artificial Neural Network
dc.subject.classification
Ingeniería de Procesos Químicos
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dc.subject.classification
Ingeniería Química
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dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
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dc.title
Hydrolysis of lactose: estimation of kinetic parameters using Artificial Neural Networks
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2016-11-24T14:13:38Z
dc.journal.volume
2013
dc.journal.number
10
dc.journal.pagination
811-818
dc.journal.pais
Estados Unidos
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dc.description.fil
Fil: Cuellas, Anahí V.. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología. Área Ingeniería en Alimentos; Argentina
dc.description.fil
Fil: Oddone, Sebastián. Universidad Argentina de la Empresa. Facultad de Ingeniería y Ciencias Exactas; Argentina
dc.description.fil
Fil: Mammarella, Enrique José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); Argentina
dc.description.fil
Fil: Rubiolo, Amelia Catalina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); Argentina
dc.journal.title
Journal of Agricultural Science and Technology A
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.davidpublisher.org/Article/index?id=14643.html#Abstract
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://dx.doi.org/10.17265/2161-6256/2013.10A.008
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