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Highly sensitive graphene-based chemical and biological sensors with selectivity achievable through low-frequency noise measurement-Theoretical considerations
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.
Source:
Proceedings of the International Conference on Microelectronics, ICM, 2014, 153-156
Publisher:
Institute of Electrical and Electronics Engineers Inc.
TY - CONF
AU - Đurić, Zoran G.
AU - Jokić, Ivana
AU - Peleš, Adriana
PY - 2014
UR - http://cer.ihtm.bg.ac.rs/handle/123456789/1601
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 - Institute of Electrical and Electronics Engineers Inc.
C3 - Proceedings of the International Conference on Microelectronics, ICM
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
ER -
@conference{
author = "Đurić, Zoran G. and Jokić, Ivana and Peleš, Adriana",
year = "2014",
url = "http://cer.ihtm.bg.ac.rs/handle/123456789/1601",
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 = "Institute of Electrical and Electronics Engineers Inc.",
journal = "Proceedings of the International Conference on Microelectronics, ICM",
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"
}
Đurić ZG, Jokić I, Peleš A. Highly sensitive graphene-based chemical and biological sensors with selectivity achievable through low-frequency noise measurement-Theoretical considerations. Proceedings of the International Conference on Microelectronics, ICM. 2014;:153-156
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.
Proceedings of the International Conference on Microelectronics, ICMInstitute of Electrical and Electronics Engineers Inc.., 153-156.
https://doi.org/10.1109/MIEL.2014.6842108
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" (2014):153-156,
https://doi.org/10.1109/MIEL.2014.6842108 .
