Inulinase Production In A Batch Bioreactor Using Agroindustrial Residues As The Substrate: Experimental Data And Modeling.

dc.creatorMazutti, Marcio A
dc.creatorCorazza, Marcos L
dc.creatorMaugeri Filho, Francisco
dc.creatorRodrigues, Maria Isabel
dc.creatorCorazza, Fernanda C
dc.creatorTreichel, Helen
dc.date2009-Jan
dc.date2015-11-27T13:14:52Z
dc.date2015-11-27T13:14:52Z
dc.date.accessioned2018-03-29T01:08:19Z
dc.date.available2018-03-29T01:08:19Z
dc.identifierBioprocess And Biosystems Engineering. v. 32, n. 1, p. 85-95, 2009-Jan.
dc.identifier1615-7605
dc.identifier10.1007/s00449-008-0225-5
dc.identifierhttp://www.ncbi.nlm.nih.gov/pubmed/18449567
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/198185
dc.identifier18449567
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1298418
dc.descriptionThe production of inulinase employing agroindustrial residues as the substrate is a good alternative to reduce production costs and to minimize the environmental impact of disposing these residues in the environment. This study focused on the use of a phenomenological model and an artificial neural network (ANN) to simulate the inulinase production during the batch cultivation of the yeast Kluyveromyces marxianus NRRL Y-7571, employing a medium containing agroindustrial residues such as molasses, corn steep liquor and yeast extract. It was concluded that due to the complexity of the medium composition it was rather difficult to use a phenomenological model with sufficient accuracy. For this reason, an alternative and more cost-effective methodology based on ANN was adopted. The predictive capacity of the ANN was superior to that of the phenomenological model, indicating that the neural network approach could be used as an alternative in the predictive modeling of complex batch cultivations.
dc.description32
dc.description85-95
dc.languageeng
dc.relationBioprocess And Biosystems Engineering
dc.relationBioprocess Biosyst Eng
dc.rightsfechado
dc.rights
dc.sourcePubMed
dc.subjectAgriculture
dc.subjectBiomass
dc.subjectBioreactors
dc.subjectCulture Media
dc.subjectFermentation
dc.subjectGlycoside Hydrolases
dc.subjectIndustrial Microbiology
dc.subjectKinetics
dc.subjectKluyveromyces
dc.subjectModels, Theoretical
dc.subjectMolasses
dc.subjectNeural Networks (computer)
dc.subjectReproducibility Of Results
dc.subjectTemperature
dc.subjectZea Mays
dc.titleInulinase Production In A Batch Bioreactor Using Agroindustrial Residues As The Substrate: Experimental Data And Modeling.
dc.typeArtículos de revistas


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