The University of Southampton
University of Southampton Institutional Repository

On the use of modelling antagonistic enzymes to aid in temporal programming of pH and PVA–borate gelation

On the use of modelling antagonistic enzymes to aid in temporal programming of pH and PVA–borate gelation
On the use of modelling antagonistic enzymes to aid in temporal programming of pH and PVA–borate gelation
Feedback through enzyme reactions creates new possibilities for the temporal programming of material properties in bioinspired applications, such as transient adhesives; however, there have been limited attempts to model such behavior. Here, we used two antagonistic enzymes, urease in watermelon seed powder and esterase, to temporally control the gelation of a poly(vinyl alcohol)–borate hydrogel in a one-pot formulation. Urease produces base (ammonia), and esterase produces acid (acetic acid), generating a pH pulse, which was coupled with reversible complexation of PVA. For improved understanding of the pulse properties and gel lifetime, the pH profile was investigated by comparison of the experiments with kinetic simulations of the enzyme reactions and relevant equilibria. The model reproduced the general trends with the initial concentrations and was used to help identify conditions for pulse-like behaviour as the substrate concentrations were varied.
372-381
Bashir, Nadeem
383253e3-33fc-4bd5-9584-412a081a0131
Leathard, Anna S.
82fc63a9-7d0c-483b-9770-da084719e40d
McHugh, Madeline
8dafe2f2-75a4-4712-9f0b-410cc99db0ce
Hoffman, Imogen
fd244425-7ad0-45ef-bf51-ec3b1bdc18c3
Shaon, Fahima
2743b7a2-d3ad-4c34-9727-5eed43ec9d89
Belgodere, Jorge A.
92017182-f3dc-42db-8088-74c9138d76a0
Taylor, Annette
08028a29-428d-4732-b6b1-f7a93389b386
Pojman Sr, John A.
d4ab5f67-2edf-48a0-bc95-39f7e10b9b52
Bashir, Nadeem
383253e3-33fc-4bd5-9584-412a081a0131
Leathard, Anna S.
82fc63a9-7d0c-483b-9770-da084719e40d
McHugh, Madeline
8dafe2f2-75a4-4712-9f0b-410cc99db0ce
Hoffman, Imogen
fd244425-7ad0-45ef-bf51-ec3b1bdc18c3
Shaon, Fahima
2743b7a2-d3ad-4c34-9727-5eed43ec9d89
Belgodere, Jorge A.
92017182-f3dc-42db-8088-74c9138d76a0
Taylor, Annette
08028a29-428d-4732-b6b1-f7a93389b386
Pojman Sr, John A.
d4ab5f67-2edf-48a0-bc95-39f7e10b9b52

Bashir, Nadeem, Leathard, Anna S., McHugh, Madeline, Hoffman, Imogen, Shaon, Fahima, Belgodere, Jorge A., Taylor, Annette and Pojman Sr, John A. (2024) On the use of modelling antagonistic enzymes to aid in temporal programming of pH and PVA–borate gelation. Molecular Systems Design & Engineering, 2024 (9), 372-381. (doi:10.1039/D3ME00138E).

Record type: Article

Abstract

Feedback through enzyme reactions creates new possibilities for the temporal programming of material properties in bioinspired applications, such as transient adhesives; however, there have been limited attempts to model such behavior. Here, we used two antagonistic enzymes, urease in watermelon seed powder and esterase, to temporally control the gelation of a poly(vinyl alcohol)–borate hydrogel in a one-pot formulation. Urease produces base (ammonia), and esterase produces acid (acetic acid), generating a pH pulse, which was coupled with reversible complexation of PVA. For improved understanding of the pulse properties and gel lifetime, the pH profile was investigated by comparison of the experiments with kinetic simulations of the enzyme reactions and relevant equilibria. The model reproduced the general trends with the initial concentrations and was used to help identify conditions for pulse-like behaviour as the substrate concentrations were varied.

Text
d3me00138e - Version of Record
Available under License Creative Commons Attribution.
Download (2MB)

More information

Accepted/In Press date: 20 December 2023
e-pub ahead of print date: 4 January 2024

Identifiers

Local EPrints ID: 496306
URI: http://eprints.soton.ac.uk/id/eprint/496306
PURE UUID: 06cb3ebb-321d-4a48-94ce-585c02c8be18
ORCID for Annette Taylor: ORCID iD orcid.org/0000-0003-0071-8306

Catalogue record

Date deposited: 11 Dec 2024 17:40
Last modified: 17 Dec 2024 03:10

Export record

Altmetrics

Contributors

Author: Nadeem Bashir
Author: Anna S. Leathard
Author: Madeline McHugh
Author: Imogen Hoffman
Author: Fahima Shaon
Author: Jorge A. Belgodere
Author: Annette Taylor ORCID iD
Author: John A. Pojman Sr

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×