Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/33197
Title: Measuring Thermal Conductivity in a Microfluidic Device with the Transient Thermal Offset (TTO) Method
Authors: OUDEBROUCKX, Gilles 
VANDENRYT, Thijs 
BORMANS, Seppe 
WAGNER, Patrick 
THOELEN, Ronald 
Issue Date: 2021
Publisher: 
Source: IEEE sensors journal, 21 (6), p. 7298-7307.
Abstract: Measurements of thermal conductivity on microliter-sized samples can be of great value in applications where the sample fluid is costly or scarcely available. Such measurements can be used for a broad range of purposes such as quality control and bioanalytical applications. Currently available methods for measuring the thermal conductivity of small liquid samples are often not suited for high-throughput testing due to the complexity of the sensor hardware, or the complexity of the required data processing. In this study, a novel sensor device and sensing method are presented that require only one simple planar resistive sensing structure to be incorporated in a microchannel. The working principle of the so-called Transient Thermal Offset (TTO) method is demonstrated with numerical simulations, as well as by practical experiments on various water/ethanol mixtures using an in-house designed prototype sensor device. The developed device is able to determine the thermal conductivity of water/ethanol mixtures with volumes less than 3 µl with an accuracy of 0.5%. The standard deviation on the experimental measurements is less than 0.009 W/mK. The setup enables rapid testing of small amounts of static liquid samples at high-throughput, as well as long-time monitoring of changes in thermal conductivity of liquids inside a microchannel. The purposeful sensor design enables further miniaturization that would allow testing even smaller sample volumes.
Keywords: Index Terms-Microfluidic device;sensor;thermal conductivity;transient method
Document URI: http://hdl.handle.net/1942/33197
ISSN: 1530-437X
e-ISSN: 1558-1748
DOI: 10.1109/JSEN.2020.3047475
ISI #: WOS:000636053600018
Rights: 2020 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.
Category: A1
Type: Journal Contribution
Validations: ecoom 2022
Appears in Collections:Research publications

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