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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/16153

Title: Optimizing the Thermal Read-Out Technique for MIP-Based Biomimetic Sensors: Towards Nanomolar Detection Limits
Authors: Geerets, Bram
PEETERS, Marloes
Bers, Karolien
WAGNER, Patrick
Issue Date: 2013
Citation: SENSORS, 13 (7), p. 9148-9159
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 degrees 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.
Notes: Peeters, M (reprint author), Hasselt Univ, Inst Mat Res, Wetenschapspk 1, B-3590 Diepenbeek, Belgium. bram.geerets@student.uhasselt.be; marloes.peeters@uhasselt.be; bart.vangrinsven@uhasselt.be; karolien.bers@uhasselt.be; ward.deceuninck@uhasselt.be; patrick.wagner@uhasselt.be
URI: http://hdl.handle.net/1942/16153
DOI: 10.3390/s130709148
ISI #: 000328612800059
ISSN: 1424-8220
Category: A1
Type: Journal Contribution
Validation: ecoom, 2015
Appears in Collections: Research publications

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