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Optimization and characterization of a flow cell for heat‐transfer‐based biosensing
In this article, we report on the development of a flow cell optimized for the heat‐transfer method, a versatile biosensing technique. The design of the flow cell ensures that the heat flow is focused with minimal heat loss through the surroundings of the cell. This results in a more stable measurin...
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Published in: | Physica status solidi. A, Applications and materials science Applications and materials science, 2017-09, Vol.214 (9), p.1600758-n/a |
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Main Authors: | , , , , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | In this article, we report on the development of a flow cell optimized for the heat‐transfer method, a versatile biosensing technique. The design of the flow cell ensures that the heat flow is focused with minimal heat loss through the surroundings of the cell. This results in a more stable measuring signal and an improved sensitivity of the measuring technique. The sensor was characterized by performing background measurements in air, water, and phosphate buffered saline (PBS) solution. Heat flow through the setup was simulated using COMSOL in order to provide insight in the contribution of convection to the heat flow and recommendations for possible future improvements to the cell. Additionally, a two‐step algorithm for calculating thermal resistance was defined, allowing the user to accurately derive thermal conductivity from experimental data. Finally, the potential of the flow cell for bacteria (Escherichia coli) detection was assessed and compared with the results obtained in the original HTM setup in a similar experiment. This experiment demonstrates that we were able to improve the limit‐of‐detection (LoD) to 2.10 × 104 colony forming units (CFU) mL−1 by changing the geometry of the measuring cell.
Sensor setup for thermal biodetection experiments a directed heat flow. |
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ISSN: | 1862-6300 1862-6319 |
DOI: | 10.1002/pssa.201600758 |