Multivariable Analysis Reveals the Key Variables Related to Lignocellulosic Biomass Type and Pretreatment before Enzymolysis

In this study, partial least square (PLS), a multivariable analysis, was used to simultaneously quantitatively evaluate the effects of variables related three pretreatments (alkaline, hot water and acid) biomass properties poplar, salix corncob. The results showed that type most important variable influencing enzymolysis reducing sugar yield (ERSY). compositions affected ERSY more than pretreatment conditions, among which hemicellulose lignin played vital roles. alkaline had positive effect on acid pretreatments, in content influence temperature. This work provides deeper understanding material conditions different complex systems before enzymolysis, might be guidance future study.