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Lookup NU author(s): Ollie Jamieson,
Dr Alex Hudson,
Dr Katarina Novakovic,
Professor Marloes PeetersORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
Molecularly Imprinted Polymers (MIPs) were synthesised for the selective detection of amoxicillin in aqueous samples. Different functional monomers were tested to determine the optimal composition via batch rebinding experiments. Two different sensor platforms were tested using the same MIP solution; one being bulk synthesized and surface modified Screen Printed Electrodes (SPEs) via drop casting the microparticles onto the electrode surface and the other being UV polymerized directly onto the SPE surface in the form of a thin film. The sensors were used to measure amoxicillin in conjunction with the Heat-Transfer Method (HTM), a low-cost and simple thermal detection method that is based on differences in the thermal resistance at the solid–liquid interface. It was demonstrated that both sensor platforms could detect amoxicillin in the relevant concentration range with Limits of Detection (LOD) of 1.89 ± 1.03 nM and 0.54 ± 0.10 nM for the drop cast and direct polymerisation methods respectively. The sensor platform utilising direct UV polymerisation exhibited an enhanced response for amoxicillin detection, a reduced sensor preparation time and the selectivity of the platform was proven through the addition of nafcillin, a pharmacophore of similar shape and size. The use of MIP-modified SPEs combined with thermal detection provides sensors that can be used for fast and low-cost detection of analytes on-site, which holds great potential for contaminants in environmental aqueous samples. The platform and synthesis methods are generic and by adapting the MIP layer it is possible to expand this sensor platform to a variety of relevant targets.
Author(s): Jamieson O, Soares T, de Faria B, Hudson A, Mecozzi F, Rowley-Neale S, Banks C, Gruber J, Novakovic K, Peeters M, Crapnell R
Publication type: Article
Publication status: Published
Online publication date: 29/12/2019
Acceptance date: 27/12/2019
Date deposited: 19/02/2020
ISSN (electronic): 2227-9040
Publisher: MDPI AG
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