RT Journal Article
T1 Neural fuzzy model applied to autohydrolysis of Paulownia trihybrid
A1 Zamudio, Minerva A. M.
A1 Pérez Muñoz, Antonio
A1 López Baldovín, Francisco
A1 García Domínguez, Juan Carlos
A1 Feria Infante, Manuel Javier
A1 Alfaro Martínez, Ascensión
AB A central composite factorial design was used in conjunction with the software ANFIS Edit MATLAB 6.5 to develop fuzzy neural model that reproduced the experimental results of the dependent variables with errors less than 6%. The model is therefore effective with a view to simulating the autohydrolysis process. In this study it was evaluated the potential of a species trihybrid Paulownia fortunei, tormentosa and elongata as an industrial crop in terms of its contents in holocellulose, lignin, xylo-oligomers, monomers and other glucan and its use for making cellulose pulp. It was optimized biomass autohydrolysis processes to obtain valuable liquid and solid phases that can be used to produce liquid fuels and cellulosic pulp. The process was modelled in order to optimize the extraction of xylo-oligomers and xylose in the liquid phase while preserving the integrity of cellulose fibres.
PB Elsevier
SN 1876-1070
YR 2011
FD 2011
LK http://hdl.handle.net/10272/10271
UL http://hdl.handle.net/10272/10271
LA eng
NO Zamudio, M.A.M.,  Pérez Muñoz, A., López Baldovín, F., García Domínguez, J.C.,  Feria Infante, M.J., Alfaro Martínez, A.: "Neural fuzzy model applied to autohydrolysis of Paulownia trihybrid". Journal of the Taiwan Institute of Chemical Engineers. Vol. 42, n. 2, págs. 292-297, (2011). DOI: 10.1016/j.jtice.2010.07.008
NO The authors acknowledge financial support from the Grupo Empresarial ENCE, S.A. (San Juan delPuerto factory, Huelva, Spain) and VICIDEX EUROPA S.L., and the CICYT-FEDER (Science and Technology Inter Ministerial Commission, Spanish Government European Regional Development Fund), projects numbers CTQ2006-10329/PPQ and AGL2009-13113 for their support, and to the "Ramon y Cajal", "Juan de la Cierva" and FPU Programs of the Spanish Ministry of Science and Innovation.
DS Repositorio Institucional de la Universidad de Huelva
RD 15 jun 2026