Issue 4, 2022

Polymer indicator displacement assay: electrochemical glucose monitoring based on boronic acid receptors and graphene foam competitively binding with poly-nordihydroguaiaretic acid

Abstract

The concept of a reversible polymer displacement sensor mechanism for electrochemical glucose monitoring is demonstrated. A pyrene-derivatised boronic acid chemo-receptor for glucose is adsorbed onto a graphene foam electrode. Spontaneous oxidative polymerisation of nordihydroguaiaretic acid (NHG) onto the graphene foam electrode leads to a redox active film (poly-NHG) covalently attached to the boronic acid receptors. Oxidation of poly-NHG frees the boronic acid receptors to interact with glucose from the solution phase, which is detected due to competitive binding when reduced poly-NHG re-binds to the boronic acid functional groups. The sensor shows the anticipated boronic acid selectivity of fructose > glucose. The ratio of charges under the voltammetric peaks for poly-NHG unbound and bound is employed for glucose sensing with an approximately linear analytical range from 1 to 50 mM glucose in aqueous pH 7 buffer. The new methodology is shown to give apparent saccharide – boronic acid binding constants and to work in human serum. Therefore, in the future it could be developed further for glucose monitoring.

Graphical abstract: Polymer indicator displacement assay: electrochemical glucose monitoring based on boronic acid receptors and graphene foam competitively binding with poly-nordihydroguaiaretic acid

Supplementary files

Article information

Article type
Paper
Submitted
02 Nov 2021
Accepted
17 Jan 2022
First published
19 Jan 2022
This article is Open Access
Creative Commons BY license

Analyst, 2022,147, 661-670

Polymer indicator displacement assay: electrochemical glucose monitoring based on boronic acid receptors and graphene foam competitively binding with poly-nordihydroguaiaretic acid

S. M. Wikeley, J. Przybylowski, P. Lozano-Sanchez, M. Caffio, T. D. James, S. D. Bull, P. J. Fletcher and F. Marken, Analyst, 2022, 147, 661 DOI: 10.1039/D1AN01991K

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