Optimization of the hydrolysis of lignocellulosic residues by using radial basis functions modeling and particle swarm optimization

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dc.citation.titleBiochemical Engineering Journalen
dc.citation.volume80en
dc.contributor.otherSimonetta, Arturo: for sharing his milling equipment.
dc.creatorOlivieri, Alejandro César
dc.creatorGoicoechea, Héctor Casimiro
dc.creatorBeccaria, Alejandro José
dc.creatorGiordano, Pablo César
dc.date.accessioned2018-06-12T12:51:30Z
dc.date.available2018-06-12T12:51:30Z
dc.date.issued2013-11-15
dc.descriptionThe concentrations of glucose and total reducing sugars obtained by chemical hydrolysis of three different lignocellulosic feedstocks were maximized. Two response surface methodologies were applied to model the amount of sugars produced: (1) classical quadratic least-squares fit (QLS), and (2) artificial neural networks based on radial basis functions (RBF). The results obtained by applying RBF were more reliable and better statistical parameters were obtained. Depending on the type of biomass, different results were obtained. Improvements in fit between 35% and 55% were obtained when comparing the coefficients of determination (R²) computed for both QLS and RBF methods. Coupling the obtained RBF models with particle swarm optimization to calculate the global desirability function, allowed to perform multiple response optimization. The predicted optimal conditions were confirmed by carrying out independent experiments.es
dc.description.filFil: Giordano, Pablo César. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas. Cátedra de Química Analítica I. Laboratorio de Desarrollo Analítico y Quimiometría (LADAQ); Argentina.es
dc.description.filFil: Giordano, Pablo César. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas. Laboratorio de Fermentaciones; Argentina.es
dc.description.filFil: Beccaria, Alejandro José. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas. Laboratorio de Fermentaciones; Argentina.es
dc.description.filFil: Goicoechea, Héctor Casimiro. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas. Cátedra de Química Analítica I. Laboratorio de Desarrollo Analítico y Quimiometría (LADAQ); Argentina.es
dc.description.filFil: Olivieri, Alejandro César. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química de Rosario (IQUIR-CONICET); Argentina.es
dc.description.sponsorshipUniversidad Nacional del Litoral: Project CAI+D Nº 12-65 y CAI+D 2009 Tipo III R2es
dc.description.sponsorshipConsejo Nacional de Investigaciones Científicas y Técnicas (CONICET): Project PIP 2988es
dc.description.sponsorshipAgencia Nacional de Promoción Científica y Tecnológica (ANPCyT): Project PICT 2010-0084es
dc.formatapplication/pdf
dc.format.extent1-9en
dc.identifier.issn1369-703X
dc.identifier.urihttp://hdl.handle.net/2133/11441
dc.language.isoenges
dc.publisherElsevieres
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S1369703X13002453es
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.bej.2013.09.004es
dc.rightsopenAccesses
dc.rights.holderOlivieri, Alejandro Césares
dc.rights.holderGoicoechea, Héctor Casimiroes
dc.rights.holderBeccaria, Alejandro Josées
dc.rights.holderGiordano, Pablo Césares
dc.rights.holderUniversidad Nacional de Rosarioes
dc.rights.holderUniversidad Nacional del Litorales
dc.rights.holderElsevieres
dc.rights.textAtribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)es
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/*
dc.subjectGlucosees
dc.subjectHydrolysises
dc.subjectBiomasses
dc.subjectLignocellulosees
dc.subjectNeural Networkses
dc.titleOptimization of the hydrolysis of lignocellulosic residues by using radial basis functions modeling and particle swarm optimizationes

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