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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: | 2020 | 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 | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2022 |
Appears in Collections: | Research publications |
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09308985.pdf Restricted Access | Published version | 12.18 MB | Adobe PDF | View/Open Request a copy |
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