An in-silico study on transient enzyme diffusion and adsorption within lignocellulosic biomass using a multi-scale model

Diffusion of hydrolytic enzymes into biomass particles is a potential limiting step, which has yet to be studied in detail separate from intrinsic hydrolysis kinetics. We developed and applied a pore-enzyme diffusion model for both adsorbing and non-adsorbing enzymes and coupled them to reactor-level mass balance equations. With this multi-scale model, the effects of biomass particle porosity, size, and adsorption capacity on the characteristic time of enzyme diffusion and adsorption were predicted over an expected range of these parameters. Using a hydrolysis limiting threshold characteristic time for enzyme diffusion of 6 h, this model mapped the transport parameter space between two distinct zones: diffusion limiting and non-diffusion limiting. The model also predicted a decrease in characteristic time with an increase in the biomass-to-enzyme loading ratio. At the particle level, characteristic time was most strongly affected by firstly adsorption capacity, then particle radius, adsorption affinity, and porosity.

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Publication Details

Journal
Frontiers in Catalysis
Published
2026-02-24
DOI
https://doi.org/10.3389/fctls.2026.1761691
Primary Topic
Biofuel production and bioconversion
Type
article
Field-Weighted Citation Impact
0.00

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article

An in-silico study on transient enzyme diffusion and adsorption within lignocellulosic biomass using a multi-scale model

Saketh Merugu, David Shonnard
Frontiers in Catalysis
Biofuel production and bioconversion
article

An in-silico study on transient enzyme diffusion and adsorption within lignocellulosic biomass using a multi-scale model

Saketh Merugu, David Shonnard
article en

Abstract

Diffusion of hydrolytic enzymes into biomass particles is a potential limiting step, which has yet to be studied in detail separate from intrinsic hydrolysis kinetics. We developed and applied a pore-enzyme diffusion model for both adsorbing and non-adsorbing enzymes and coupled them to reactor-level mass balance equations. With this multi-scale model, the effects of biomass particle porosity, size, and adsorption capacity on the characteristic time of enzyme diffusion and adsorption were predicted over an expected range of these parameters. Using a hydrolysis limiting threshold characteristic time for enzyme diffusion of 6 h, this model mapped the transport parameter space between two distinct zones: diffusion limiting and non-diffusion limiting. The model also predicted a decrease in characteristic time with an increase in the biomass-to-enzyme loading ratio. At the particle level, characteristic time was most strongly affected by firstly adsorption capacity, then particle radius, adsorption affinity, and porosity.

Frontiers in CatalysisVol. 6
Michigan Technological University (US), University of Toledo (US)
National Science Foundation, Division of Chemical, Bioengineering, Environmental, and Transport Systems
Clean water and sanitation
Openalex Percentile: Top 46%
Biofuel production and bioconversion
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