Corn stover semi-mechanistic enzymatic hydrolysis model with tight parameter confidence intervals for model-based process design and optimization

Felipe Scott, Muyang Li, Daniel L. Williams, Raúl Conejeros, David B. Hodge, Germán Aroca

    Research output: Research - peer-reviewArticle

    • 3 Citations

    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.

    LanguageEnglish (US)
    Pages255-265
    Number of pages11
    JournalBioresource Technology
    Volume177
    DOIs
    StatePublished - Feb 1 2015

    Profile

    Zea mays
    Uncertainty
    Hydrolysis
    Confidence Intervals
    confidence interval
    hydrolysis
    maize
    parameter
    Enzymatic hydrolysis
    Process design
    Acids
    Datasets
    inhibitor
    acid
    analysis
    decision
    Saccharification

    Keywords

    • Biofuels
    • Enzymatic hydrolysis
    • High-solids saccharification
    • Kinetic model
    • Lignocellulose

    ASJC Scopus subject areas

    • Bioengineering
    • Environmental Engineering
    • Waste Management and Disposal
    • Medicine(all)

    Cite this

    Corn stover semi-mechanistic enzymatic hydrolysis model with tight parameter confidence intervals for model-based process design and optimization. / Scott, Felipe; Li, Muyang; Williams, Daniel L.; Conejeros, Raúl; Hodge, David B.; Aroca, Germán.

    In: Bioresource Technology, Vol. 177, 01.02.2015, p. 255-265.

    Research output: Research - peer-reviewArticle

    Scott, Felipe ; Li, Muyang ; Williams, Daniel L. ; Conejeros, Raúl ; Hodge, David B. ; Aroca, Germán. / Corn stover semi-mechanistic enzymatic hydrolysis model with tight parameter confidence intervals for model-based process design and optimization. In: Bioresource Technology. 2015 ; Vol. 177. pp. 255-265
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    AU - Hodge,David B.

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