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Optimizing the mass-specific activity of bilirubin oxidase adlayers through combined electrochemical quartz crystal microbalance and dual polarization interferometry analyses

Trevor McArdle, Thomas P. McNamara, Fan Fei, Kulveer Singh, Christopher F. Blanford

A C S Applied Materials and Interfaces. 2015;7(45):25270-25280.

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Abstract

Two surface analysis techniques, dual polarization interferometry (DPI) and analysis by an electrochemical quartz crystal microbalance with dissipation capability (E-QCM-D), were paired to find the deposition conditions that give the highest and most stable electrocatalytic activity per adsorbed mass of enzyme. Layers were formed by adsorption from buffered solutions of bilirubin oxidase from Myrothecium verrucaria at pH 6.0 to planar surfaces, under high enzyme loading (≥ 1 mg ml–1) for contact periods up to 2 min. Both unmodified and carboxylate-functionalized gold-coated sensors showed that a deposition solution concentration of between 10–25 mg ml–1 gave the highest activity per mass of adsorbed enzyme with an effective catalytic rate constant (kcat) of about 60 s–1. The densification of adsorbed layers observed by DPI correlated with reduced bioactivity observed by parallel E-QCM-D measurements. Post-adsorption changes in thickness and density observed by DPI were incorporated into Kelvin–Voigt models of the QCM-D response. The modeled response matched experimental observations when the adlayer viscosity tripled after adsorption.

Bibliographic metadata

Type of resource:
Content type:
Publication status:
Published
Publication type:
Published date:
Accepted date:
2015-10-27
Submitted date:
2015-08-07
Abbreviated journal title:
ISSN:
Volume:
7
Issue:
45
Start page:
25270
End page:
25280
Total:
10
Pagination:
25270-25280
Digital Object Identifier:
10.1021/acsami.5b07290
Funding awarded to University:
  • EPSRC - RESEPSRC
Research data access statement included:
Yes
Access to research data:
In accordance with EPSRC guidelines, the data and flow cell drawing associated with the paper are openly available from The University of Manchester eScholar Data Repository: http://dx.doi.org/10.15127/1.269983 (experimental data), http://dx.doi.org/10.15127/1.269975 (flow cell CAD file). The computer code associated with this paper is available from Github: http://dx.doi.org/10.5281/zenodo.32859.
Attached files Open Access licence:
Creative Commons Attribution (CC BY)
Attached files embargo period:
Immediate release
Attached files release date:
19th November, 2015
Access state:
Active

Institutional metadata

University researcher(s):

Record metadata

Manchester eScholar ID:
uk-ac-man-scw:276401
Created by:
Blanford, Christopher
Created:
28th October, 2015, 08:26:43
Last modified by:
Clayton, Leanda
Last modified:
19th February, 2016, 14:01:52

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