Počet záznamů: 1
Thin metal layers in bioanalysis
- 1.0395856 - ÚIACH 2014 HU eng A - Abstrakt
Foret, František - Jusková, Petra - Podešva, Pavel
Thin metal layers in bioanalysis.
CECE 2013. Program and Abstract Book. University of Pécs, 2013 - (Kilár, F.; Nagy, L.; Kiss, I.). s. 46-46. ISBN 978-963-642-517-3.
[CECE 2013. International Interdisciplinary Meeting on Bioanalysis /10./. 25.04.2013-27.04.2013, Pécs]
Grant CEP: GA ČR(CZ) GBP206/12/G014; GA MŠMT(CZ) EE2.3.20.0182
Institucionální podpora: RVO:68081715
Klíčová slova: thin metal layers * bioanalysis * electrochemiluminiscence
Kód oboru RIV: CB - Analytická chemie, separace
Technology developments in the few past decades have created opportunities for multidisciplinary research combining materials science, electronics and chemistry. Although consumer electronics has thus far had the most significant influence both on the economy and culture, the underlying technology creates a strong potential also in new areas of chemistry. Thin film deposition technology, a routine part in the production of most electronic and optic components, is finding its ways into new areas of chemical and biochemical sensors and instruments. At present the thin layers of metals serve in applications spanning from simple electrodes to surface plasmon resonance (SPR) or giant magnetoresistance (GMR) based sensors. Thin films allow monitoring redox processes in the vicinity of electrodes, adsorption/desorption equilibria of ions, organic compounds, gases, and more recently also interactions of large organic macromolecules such as proteins or DNA. Measurement of basic photonic and electric properties (current, voltage, resistance) is simple with large dynamic range. In this work we focus on the development and applications of thin metal films with the submicron thickness for surface sample enrichment and detection based on electrochemiluminiscence, surface reflectivity and resistance changes. We shall discuss the potential of thin metal layers for chemical sensing and reversible chemisorption for sample sensing and enrichment on a microscale.
Trvalý link: http://hdl.handle.net/11104/0223746
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