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

The 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) artif...

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Autores principales: Olivieri, Alejandro César, Goicoechea, Héctor Casimiro, Beccaria, Alejandro José, Giordano, Pablo César
Otros Autores: Simonetta, Arturo: for sharing his milling equipment.
Lenguaje:Inglés
Publicado: Elsevier 2018
Materias:
Glucose
Hydrolysis
Biomass
Lignocellulose
Neural Networks
Acceso en línea:http://hdl.handle.net/2133/11441
http://hdl.handle.net/2133/11441
Aporte de:
Repositorio Hipermedial de la Universidad Nacional de Rosario (UNR) de Universidad Nacional de Rosario

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