Toggle Main Menu Toggle Search

Open Access padlockePrints

Screen Printed Electrode Based Detection Systems for the Antibiotic Amoxicillin in Aqueous Samples Utilising Molecularly Imprinted Polymers as Synthetic Receptors

Lookup NU author(s): Ollie Jamieson, Dr Alex Hudson, Professor Katarina Novakovic, Professor Marloes PeetersORCiD

Downloads


Licence

This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

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.


Publication metadata

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

Journal: Chemosensors

Year: 2019

Volume: 8

Issue: 1

Online publication date: 29/12/2019

Acceptance date: 27/12/2019

Date deposited: 19/02/2020

ISSN (electronic): 2227-9040

Publisher: MDPI AG

URL: https://doi.org/10.3390/chemosensors8010005

DOI: 10.3390/chemosensors8010005


Altmetrics

Altmetrics provided by Altmetric


Funding

Funder referenceFunder name
306147/2016-5
424027/2018-6
EP/R029296/1EPSRC

Share