Electrical characterization of graphene sensors
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F24%3APU155026" target="_blank" >RIV/00216305:26220/24:PU155026 - isvavai.cz</a>
Result on the web
<a href="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2024_sbornik_2.pdf" target="_blank" >https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2024_sbornik_2.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.13164/eeict.2024.104" target="_blank" >10.13164/eeict.2024.104</a>
Alternative languages
Result language
angličtina
Original language name
Electrical characterization of graphene sensors
Original language description
Graphene has shown to have great electrical, thermal and chemical properties. These qualities are suitable for construction of a chemical sensor with graphene as its sensing material. These graphene-based sensors are currently in the field of research and they are not yet viable for mass commercial application. Studies in graphene-based sensors span its very high sensitivity, selectivity, functionalization, manufacturability, stability and material configuration. We focus on the noise characterization in pristine graphene sensors, with different active channel size and layout of the electrodes. The topic of sensor characterization is difficult. Very often researchers omit the measurement setup and information about sample preparation. This article is focused on design of a sample, that is suitable for various graphene sensor experiments. We have come up with a successful design of highly configurable sample board with mounted graphene sensor, that are easy to work with. These samples are to be used for noise analysis of a graphene sensor, that is put in different gas environments
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
21002 - Nano-processes (applications on nano-scale); (biomaterials to be 2.9)
Result continuities
Project
<a href="/en/project/GA23-07384S" target="_blank" >GA23-07384S: Back-gated few-layers graphene gas sensors: charge transport and its fluctuation used for performance improvement</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings II of the 30th Conference STUDENT EEICT 2024: Selected papers
ISBN
978-80-214-6230-4
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
104-107
Publisher name
Brno University of Technology, Faculty of Electrical Engineering and Communication
Place of publication
Brno
Event location
Brno
Event date
Apr 23, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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