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Open AccessArticle

Microfluidic EBG Sensor Based on Phase-Shift Method Realized Using 3D Printing Technology

BioSense Institute—Research Institute for Information Technologies in Biosystems, Dr Zorana Đinđića 1a, 21000 Novi Sad, Serbia
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Sensors 2017, 17(4), 892; https://doi.org/10.3390/s17040892
Received: 14 February 2017 / Revised: 11 April 2017 / Accepted: 17 April 2017 / Published: 18 April 2017
(This article belongs to the Special Issue 3D Printed Sensors)
In this article, we propose a novel microfluidic microstrip electromagnetic band gap (EBG) sensor realized using cost-effective 3D printing technology. Microstrip sensor allows monitoring of the fluid properties flowing in the microchannel embedded between the microstrip line and ground plane. The sensor’s operating principle is based on the phase-shift method, which allows the characterization at a single operating frequency of 6 GHz. The defected electromagnetic band gap (EBG) structure is realized as a pattern in the microstrip ground plane to improve sensor sensitivity. The designed microfluidic channel is fabricated using a fused deposition modelling (FDM) 3D printing process without additional supporting layers, while the conductive layers are realized using sticky aluminium tape. The measurement results show that the change of permittivity of the fluid in the microfluidic channel from 1 to 80 results in the phase-shift difference of almost 90°. The potential application is demonstrated through the implementation of a proposed sensor for the detection of toluene concentration in toluene–methanol mixture where various concentrations of toluene were analysed. View Full-Text
Keywords: microstrip sensor; electromagnetic band gap (EBG); microfluidics; 3D printing; fused deposition modelling (FDM); phase-shift method microstrip sensor; electromagnetic band gap (EBG); microfluidics; 3D printing; fused deposition modelling (FDM); phase-shift method
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MDPI and ACS Style

Radonić, V.; Birgermajer, S.; Kitić, G. Microfluidic EBG Sensor Based on Phase-Shift Method Realized Using 3D Printing Technology. Sensors 2017, 17, 892.

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