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Citation

Laurent, Harrison and Brockwell, David J. and Dougan, Lorna (2024) Nanomachine Networks: Functional All-Enzyme Hydrogels from Photochemical Cross-Linking of Glucose Oxidase - Dataset. University of Leeds. [Dataset] https://doi.org/10.5518/1590

Dataset description

Enzymes are attractive as catalysts due to their specificity and biocompatibility, however their use in industrial and biomedical applications is limited by stability. Here we present a facile approach for enzyme immobilisation within ‘all-enzyme’ hydrogels by forming photochemical covalent cross-links between glucose oxidase. We demonstrate their mechanical properties are dependent on enzyme concentration and the dimeric nature of glucose oxidase results in unusual gel formation behaviour. We quantify enzyme activity of the hydrogel using the Trinder assay. Employing a 1D modelling approach to understand these experimental data shows that the Michaelis constant KM increases, from 18.6 mM to 41 mM and enzymatic specific activity reduces from 137.4 U/mg to 68 U/mg upon hydrogel formation. We suggest that these effects are due to forces on the individual nanoscale enzymes during network formation. This approach provides enormous potential for producing biocatalytic materials with tuneable mechanical properties and high volumetric productivity.

Keywords:	Enzyme, immobilisation, hydrogel, glucose oxidase, biocatalysis, rheology
Subjects:	C000 - Biological sciences > C700 - Molecular biology, biophysics & biochemistry > C710 - Applied molecular biology, biophysics & biochemistry F000 - Physical sciences > F100 - Chemistry > F160 - Organic chemistry > F165 - Biomolecular chemistry H000 - Engineering > H100 - General engineering > H160 - Bioengineering, biomedical engineering & clinical engineering > H161 - Biomaterials
Divisions:	Faculty of Engineering and Physical Sciences > School of Physics and Astronomy
Related resources:	Location Type https://doi.org/10.1021/acs.biomac.4c01519 Publication https://eprints.whiterose.ac.uk/223639/ Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	30 Jan 2025 13:41
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/1372
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Laurent, Harrison https://orcid.org/0000-0002-8925-4773 University of Leeds https://ror.org/024mrxd33 ror Brockwell, David J. https://orcid.org/0000-0002-0802-5937 University of Leeds https://ror.org/024mrxd33 ror Dougan, Lorna https://orcid.org/0000-0002-2620-5827 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: EPSRC, ERC Grant numbers: EP/P02288X/1, EP/X023524/1 Publication date: 2024 Resource language: English Metadata language: English Publisher: University of Leeds Contact email: L.Dougan@leeds.ac.uk Last Modified: 20 Mar 2025 14:51

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