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Highly sensitive graphene-based chemical and biological sensors with selectivity achievable through low-frequency noise measurement — Theoretical considerations

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2014
Authors
Đurić, Zoran G.
Jokić, Ivana
Peleš, Adriana
Conference object (Published version)
Metadata
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Abstract
We have developed a theory of the low-frequency noise caused by interaction of the analyte with the active area of chemical and biological sensors. The main result is an analytical expression for the spectral density of the fluctuations of the number of particles adsorbed onto the sensing surface, taking into account the processes of mass transfer through the sensor reaction chamber, adsorption and desorption, and surface diffusion of adsorbed particles. The performed numerical calculations show good agreement with the experimental data from the literature, obtained for a graphene-based gas sensor. The derived theory contributes to the theoretical basis necessary for the development of a new method for the recognition and quantification of analytes, based on the measured noise spectrum.
Keywords:
chemical sensors / biological sensors / graphene / low-frequency noise
Source:
Proceedings of the International Conference on Microelectronics, ICM (2014 29th International Conference on Microelectronics, MIEL 2014), 2014, 153-156
Publisher:
  • IEEE
Funding / projects:
  • Directed synthesis, structure and properties of multifunctional materials (RS-172057)

DOI: 10.1109/MIEL.2014.6842108

ISBN: 978-1-4799-5295-3

WoS: 000360788600029

Scopus: 2-s2.0-84904595214
[ Google Scholar ]
1
1
Handle
https://hdl.handle.net/21.15107/rcub_dais_647
URI
https://dais.sanu.ac.rs/123456789/647
Collections
  • ИТН САНУ - Општа колекција / ITS SASA - General collection
Institution/Community
Институт техничких наука САНУ / Institute of Technical Sciences of SASA
TY  - CONF
AU  - Đurić, Zoran G.
AU  - Jokić, Ivana
AU  - Peleš, Adriana
PY  - 2014
UR  - https://dais.sanu.ac.rs/123456789/647
AB  - We have developed a theory of the low-frequency noise caused by interaction of the analyte with the active area of chemical and biological sensors. The main result is an analytical expression for the spectral density of the fluctuations of the number of particles adsorbed onto the sensing surface, taking into account the processes of mass transfer through the sensor reaction chamber, adsorption and desorption, and surface diffusion of adsorbed particles. The performed numerical calculations show good agreement with the experimental data from the literature, obtained for a graphene-based gas sensor. The derived theory contributes to the theoretical basis necessary for the development of a new method for the recognition and quantification of analytes, based on the measured noise spectrum.
PB  - IEEE
C3  - Proceedings of the International Conference on Microelectronics, ICM (2014 29th International Conference on Microelectronics, MIEL 2014)
T1  - Highly sensitive graphene-based chemical and biological sensors with selectivity achievable through low-frequency noise measurement — Theoretical considerations
SP  - 153
EP  - 156
DO  - 10.1109/MIEL.2014.6842108
UR  - https://hdl.handle.net/21.15107/rcub_dais_647
ER  - 
@conference{
author = "Đurić, Zoran G. and Jokić, Ivana and Peleš, Adriana",
year = "2014",
abstract = "We have developed a theory of the low-frequency noise caused by interaction of the analyte with the active area of chemical and biological sensors. The main result is an analytical expression for the spectral density of the fluctuations of the number of particles adsorbed onto the sensing surface, taking into account the processes of mass transfer through the sensor reaction chamber, adsorption and desorption, and surface diffusion of adsorbed particles. The performed numerical calculations show good agreement with the experimental data from the literature, obtained for a graphene-based gas sensor. The derived theory contributes to the theoretical basis necessary for the development of a new method for the recognition and quantification of analytes, based on the measured noise spectrum.",
publisher = "IEEE",
journal = "Proceedings of the International Conference on Microelectronics, ICM (2014 29th International Conference on Microelectronics, MIEL 2014)",
title = "Highly sensitive graphene-based chemical and biological sensors with selectivity achievable through low-frequency noise measurement — Theoretical considerations",
pages = "153-156",
doi = "10.1109/MIEL.2014.6842108",
url = "https://hdl.handle.net/21.15107/rcub_dais_647"
}
Đurić, Z. G., Jokić, I.,& Peleš, A.. (2014). Highly sensitive graphene-based chemical and biological sensors with selectivity achievable through low-frequency noise measurement — Theoretical considerations. in Proceedings of the International Conference on Microelectronics, ICM (2014 29th International Conference on Microelectronics, MIEL 2014)
IEEE., 153-156.
https://doi.org/10.1109/MIEL.2014.6842108
https://hdl.handle.net/21.15107/rcub_dais_647
Đurić ZG, Jokić I, Peleš A. Highly sensitive graphene-based chemical and biological sensors with selectivity achievable through low-frequency noise measurement — Theoretical considerations. in Proceedings of the International Conference on Microelectronics, ICM (2014 29th International Conference on Microelectronics, MIEL 2014). 2014;:153-156.
doi:10.1109/MIEL.2014.6842108
https://hdl.handle.net/21.15107/rcub_dais_647 .
Đurić, Zoran G., Jokić, Ivana, Peleš, Adriana, "Highly sensitive graphene-based chemical and biological sensors with selectivity achievable through low-frequency noise measurement — Theoretical considerations" in Proceedings of the International Conference on Microelectronics, ICM (2014 29th International Conference on Microelectronics, MIEL 2014) (2014):153-156,
https://doi.org/10.1109/MIEL.2014.6842108 .,
https://hdl.handle.net/21.15107/rcub_dais_647 .

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