Neural network modeling to predict the total glucose yield after enzymatic saccharification of H2SO4-catalyzed hydrothermally pretreated sugarcane bagasse

Neural network modeling to predict the total glucose yield after enzymatic saccharification of H2SO4-catalyzed hydrothermally pretreated sugarcane bagasse

E. Ccopa Rivera, L. Plazas Tovar, M. R. Wolf Maciel, A. Bonomi, R. Maciel Filho

ARTIGO

Inglês

In this work, sugarcane bagasse was processed by H2SO4-catalyzed hydrothermal pretreatment (CHP). CHP was performed under various solid loadings (SP) 10, 20 and 25 %, acid concentrations (A) 1.0, 2.0 and 3.0 % w/v and reaction times (tP) 30, 60, 90 and 150 min. The results showed that more than 60 %...

FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESP

Fechado

Neural network modeling to predict the total glucose yield after enzymatic saccharification of H2SO4-catalyzed hydrothermally pretreated sugarcane bagasse

E. Ccopa Rivera, L. Plazas Tovar, M. R. Wolf Maciel, A. Bonomi, R. Maciel Filho


										

Neural network modeling to predict the total glucose yield after enzymatic saccharification of H2SO4-catalyzed hydrothermally pretreated sugarcane bagasse

E. Ccopa Rivera, L. Plazas Tovar, M. R. Wolf Maciel, A. Bonomi, R. Maciel Filho

    Fontes

    Chemical engineering transactions

    Vol. 43 (2015), p. 523-528