title: Corn stover semi-mechanistic enzymatic hydrolysis model with tight parameter confidence intervals for model-based process design and optimization.
abstract: 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.
authors.affiliation: School of Biochemical Engineering, Pontificia Universidad Católica de Valparaíso, Av. Brasil 2147, Valparaíso, Chile; Bioenercel S.A. Barrio Universitario s/n, Ideaincuba building, Concepción, Chile. Electronic address: felipe.scott.c@mail.pucv.cl.
authors.forename: Felipe
authors.initials: F
authors.lastname: Scott
authors.affiliation: DOE-Great Lakes Bioenergy Research Center, Michigan State University, East Lansing, MI, USA; Department of Biosystems & Agricultural Engineering, Michigan State University, 48824 East Lansing, MI, USA.
authors.forename: Muyang
authors.initials: M
authors.lastname: Li
authors.affiliation: DOE-Great Lakes Bioenergy Research Center, Michigan State University, East Lansing, MI, USA; Department of Chemical Engineering & Materials Science, Michigan State University, 48824 East Lansing, MI, USA.
authors.forename: Daniel L
authors.initials: DL
authors.lastname: Williams
authors.affiliation: School of Biochemical Engineering, Pontificia Universidad Católica de Valparaíso, Av. Brasil 2147, Valparaíso, Chile; Bioenercel S.A. Barrio Universitario s/n, Ideaincuba building, Concepción, Chile.
authors.forename: Raúl
authors.initials: R
authors.lastname: Conejeros
authors.affiliation: DOE-Great Lakes Bioenergy Research Center, Michigan State University, East Lansing, MI, USA; Department of Biosystems & Agricultural Engineering, Michigan State University, 48824 East Lansing, MI, USA; Department of Chemical Engineering & Materials Science, Michigan State University, 48824 East Lansing, MI, USA; Division of Chemical Engineering, Luleå University of Technology, Luleå, Sweden.
authors.forename: David B
authors.initials: DB
authors.lastname: Hodge
authors.affiliation: School of Biochemical Engineering, Pontificia Universidad Católica de Valparaíso, Av. Brasil 2147, Valparaíso, Chile; Bioenercel S.A. Barrio Universitario s/n, Ideaincuba building, Concepción, Chile.
authors.forename: Germán
authors.initials: G
authors.lastname: Aroca
mesh_terms: D001709:Biotechnology / Q000379:methods*; D002480:Cellulase / Q000378:metabolism*; D016001:Confidence Intervals; D004800:Enzymes, Immobilized / Q000378:metabolism; D006868:Hydrolysis; D008962:Models, Theoretical; D035501:Uncertainty; D014866:Waste Products; D003313:Zea mays / Q000737:chemistry*
chemical_list: D004800:Enzymes, Immobilized; D014866:Waste Products; D002480:Cellulase
keywords: Biofuels; Enzymatic hydrolysis; High-solids saccharification; Kinetic model; Lignocellulose