Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist gegebenenfalls nur via VPN oder Shibboleth (DFN-AAI) möglich. mehr Informationen...
Furfural production from Eucalyptus globulus: Optimizing by using neural fuzzy models
Ist Teil von
Chemical engineering journal (Lausanne, Switzerland : 1996), 2013-04, Vol.221, p.185-192
Ort / Verlag
Elsevier B.V
Erscheinungsjahr
2013
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
► Samples of Eucalyptus globulus were subjected to isothermal autohydrolysis. ► The effect of the R factor on furfural yield and general composition has been studied. ► Under optimum 4.4g/100g raw material of furfural has been obtained.
Samples of Eucalyptus globulus were subjected to isothermal autohydrolysis (temperature: 220–250°C and isothermal residence time 0–60min). The effect of the R0 factor on the sugar yield and composition of both liquid and solid phases obtained after the treatments has been studied. The furfural concentration and composition has been determined. A central composite experimental design, in conjunction with the neural fuzzy model, was used to the furfural content maximization under isothermal autohydrolysis. A varied range, involving two independent variables at three different levels, was established for each process variable (viz. temperature and autohydrolysis time). The obtained models reproduced the experimental results of the dependent variables with errors below 6%. Under optimum experimental conditions, the yield of furfural (4.4g/100g dry raw material) could be obtained at 60min and 220°C).