Uncertainty associated to the estimated values of the parameters in a model is a key piece of information for decision makers and model users. However, this information is typically not reported or the confidence intervals are too large to be useful. A semi-mechanistic model for the enzymatic saccharification of dilute acid pretreated corn stover is proposed in this work, the model is a modification of an existing one providing a statistically significant improved fit towards a set of experimental data that includes varying initial solid loadings (10-25% w/w) and the use of the pretreatment liquor and washed solids with or without supplementation of key inhibitors. A subset of 8 out of 17 parameters was identified, showing sufficiently tight confidence intervals to be used in uncertainty propagation and model analysis, without requiring interval truncation via expert judgment.
Bibliographical noteFunding Information:
Financial support granted to F. Scott by CONICYT’s scholarship program (Comisión Nacional de Investigación Científica y Tecnológica, Chile) is gratefully acknowledged. Muyang Li was supported in part by a grant from the National Science Foundation – United States ( NSF CBET 1336622 ). This work was funded by Innova Chile Project 208-7320 Technological Consortium Bioenercel S.A.
© 2014 Elsevier Ltd.
- Enzymatic hydrolysis
- High-solids saccharification
- Kinetic model