ArticleBiotechnology and bioengineering2025
The Effect of Accessibility of Insoluble Substrate on the Overall Kinetics of Enzymatic Degradation.
Article in Biotechnology and bioengineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Advancing Protein Display on Bacterial Spores through an Extensive Survey of Coat Components.JACS Au · 2026Article
- Additional Binding Domain of Marine Chitinase Increases Binding Specificity and Prolongs the Lifetime of Productive Binding State.Biochemistry · 2026Article
- Microbial and Enzymatic Degradation of Nylon: Mechanisms, Diversity, and Biotechnological Application.Journal of microbiology and biotechnology · 2026Review
- Synthesis, Characterization, and Enzyme Conjugation of Polycaprolactone Nanofibers for Tissue Engineering.Pharmaceutics · 2025Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The enzymatic reaction kinetics on cellulose and other solid substrates is limited by the access of the enzyme to the reactive substrate sites. We introduce a general model in which the reaction rate is determined by the active surface area, and the resulting kinetics consequently reflects the evolving relationship between the exposed substrate surface and the remaining substrate volume. Two factors influencing the overall surface-to-volume ratio are considered: the shape of the substrate particles, characterized by a single numerical parameter related to its dimensionality, and the distribution of the particle sizes. The model is formulated in a form of simple analytical equations, enabling fast and efficient application to experimental data, and facilitating its incorporation into more detailed and complex models. The application of the introduced formalism exploring its potential to account for the observed reaction rate is demonstrated on two examples: the derivation of particle size distribution from experimentally determined reaction kinetics, and the prediction of reaction slowdown from experimental particle size distribution.
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Registered trials
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