Toggle Main Menu Toggle Search

Open Access padlockePrints

Optimizing the thermal read-out technique for MIP-based biomimetic sensors: towards nanomolar detection limits

Lookup NU author(s): Dr Marloes Peeters

Downloads


Licence

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


Abstract

In previous work, the novel heat-transfer method (HTM) for the detection of small molecules with Molecularly Imprinted Polymers (MIP)-type receptors was presented. In this study we focus on optimization of this sensor performance, with as final aim to lower the detection limit by reducing the noise level. It was determined that the noise originates foremost from the power supply, which can be controlled by varying the PID parameters. Therefore, the effect of the individual parameters was evaluated by tuning P, I and D separately at a temperature of 37 °C, giving a first indication of the optimal configuration. Next, a temperature profile was programmed and the standard deviation of the heat-transfer resistance over the entire regime was studied for a set of parameters. The optimal configuration, P1-I6-D0, reduced the noise level with nearly a factor of three compared to the original parameters of P10-I5-D0. With the optimized settings, the detection of L-nicotine in buffer solutions was studied and the detection limit improved significantly from 100 nM to 35 nM. Summarizing, optimization of the PID parameters and thereby improving the detection limit is a key parameter for first applications of the HTM-method for MIP receptors in analytical research.


Publication metadata

Author(s): Geerets B, Peeters M, van Grinsven B, Bers K, de Ceuninck W, Wagner P

Publication type: Article

Publication status: Published

Journal: Sensors

Year: 2013

Volume: 13

Issue: 7

Pages: 9148-9159

Online publication date: 16/07/2013

Date deposited: 15/04/2019

ISSN (print): 1424-8239

ISSN (electronic): 1424-8220

Publisher: MDPI AG

URL: https://doi.org/10.3390/s130709148

DOI: 10.3390/s130709148

PubMed id: 23863857


Altmetrics

Altmetrics provided by Altmetric


Actions

Find at Newcastle University icon    Link to this publication


Share