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Bioanalytical sensors using the heat-transfer method HTM and related techniques

Authors :
Wagner, Patrick
Bakhshi Sichani, Soroush
Khorshid, Mehran
Lieberzeit, Peter
Losada-Pérez, Patricia
Yongabi, Derick
Source :
Technisches Messen; December 2023, Vol. 90 Issue: 12 p761-785, 25p
Publication Year :
2023

Abstract

This review provides an overview on bio- and chemosensors based on a thermal transducer platform that monitors the thermal interface resistance Rthbetween a solid chip and the supernatant liquid. The Rthparameter responds in a surprisingly strong way to molecular-scale changes at the solid–liquid interface, which can be measured thermometrically, using for instance thermocouples in combination with a controllable heat source. In 2012, the effect was first observed during on-chip denaturation experiments on complementary and mismatched DNA duplexes that differ in their melting temperature. Since then, the concept is addressed as heat-transfer method, in short HTM, and numerous applications of the basic sensing principle were identified. Functionalizing the chip with bioreceptors such as molecularly imprinted polymers makes it possible to detect neurotransmitters, inflammation markers, viruses, and environmental pollutants. In combination with aptamer-type receptors, it is also possible to detect proteins at low concentrations. Changing the receptors to surface-imprinted polymers has opened up new possibilities for quantitative bacterial detection and identification in complex matrices. In receptor-free variants, HTM was successfully used to characterize lipid vesicles and eukaryotic cells (yeast strains, cancer cell lines), the latter showing spontaneous detachment under influence of the temperature gradient inherent to HTM. We will also address modifications to the original HTM technique such as M-HTM, inverted HTM, thermal wave transport analysis TWTA, and the hot-wire principle. The article concludes with an assessment of the possibilities and current limitations of the method, together with a technological forecast.

Details

Language :
English
ISSN :
01718096
Volume :
90
Issue :
12
Database :
Supplemental Index
Journal :
Technisches Messen
Publication Type :
Periodical
Accession number :
ejs64594651
Full Text :
https://doi.org/10.1515/teme-2023-0101