Graphene-based sensors have a great potential for applications in public and personal health protection, including defense and security fields. However, sensitivity and selectivity of such sensors are inherently dependent on adsorption properties of the graphene sensing layer, which is typically of heterogeneous morphology and/or of heterogeneous chemical composition due to intentionally introduced functionalizing elements or spontaneously adsorbed molecules during sensor fabrication or operation. Therefore, characterization and optimization of sensing layers is extremely important for achieving high sensing performance. In this work, we present a method for characterization of the heterogeneous sensing layer by using the frequency domain analysis of the sensor output signal. The method is based on the mathematical model we devised. Here, the model is presented in detail for the case of a surface with three types of adsorption sites, and then the method is applied for extraction of par...ameters that characterize adsorption properties of a graphene sensing layer.
TY - CONF
AU - Andrić, Stevan
AU - Jokić, Ivana
AU - Frantlović, Miloš
AU - Radulović, Katarina
AU - Spasenović, Marko
PY - 2022
UR - https://cer.ihtm.bg.ac.rs/handle/123456789/5825
AB - Graphene-based sensors have a great potential for applications in public and personal health protection, including defense and security fields. However, sensitivity and selectivity of such sensors are inherently dependent on adsorption properties of the graphene sensing layer, which is typically of heterogeneous morphology and/or of heterogeneous chemical composition due to intentionally introduced functionalizing elements or spontaneously adsorbed molecules during sensor fabrication or operation. Therefore, characterization and optimization of sensing layers is extremely important for achieving high sensing performance. In this work, we present a method for characterization of the heterogeneous sensing layer by using the frequency domain analysis of the sensor output signal. The method is based on the mathematical model we devised. Here, the model is presented in detail for the case of a surface with three types of adsorption sites, and then the method is applied for extraction of parameters that characterize adsorption properties of a graphene sensing layer.
PB - Belgrade : The Military Technical Institute
C3 - Proceedings - 10th International Scientific Conference on Defensive Technologies, OTEH 2022, 13-14 October 2022, Belgrade, Serbia
T1 - Characterization of heterogeneous sensing layers in graphene-based gas sensors
UR - https://hdl.handle.net/21.15107/rcub_cer_5825
ER -
@conference{
author = "Andrić, Stevan and Jokić, Ivana and Frantlović, Miloš and Radulović, Katarina and Spasenović, Marko",
year = "2022",
abstract = "Graphene-based sensors have a great potential for applications in public and personal health protection, including defense and security fields. However, sensitivity and selectivity of such sensors are inherently dependent on adsorption properties of the graphene sensing layer, which is typically of heterogeneous morphology and/or of heterogeneous chemical composition due to intentionally introduced functionalizing elements or spontaneously adsorbed molecules during sensor fabrication or operation. Therefore, characterization and optimization of sensing layers is extremely important for achieving high sensing performance. In this work, we present a method for characterization of the heterogeneous sensing layer by using the frequency domain analysis of the sensor output signal. The method is based on the mathematical model we devised. Here, the model is presented in detail for the case of a surface with three types of adsorption sites, and then the method is applied for extraction of parameters that characterize adsorption properties of a graphene sensing layer.",
publisher = "Belgrade : The Military Technical Institute",
journal = "Proceedings - 10th International Scientific Conference on Defensive Technologies, OTEH 2022, 13-14 October 2022, Belgrade, Serbia",
title = "Characterization of heterogeneous sensing layers in graphene-based gas sensors",
url = "https://hdl.handle.net/21.15107/rcub_cer_5825"
}
Andrić, S., Jokić, I., Frantlović, M., Radulović, K.,& Spasenović, M.. (2022). Characterization of heterogeneous sensing layers in graphene-based gas sensors. in Proceedings - 10th International Scientific Conference on Defensive Technologies, OTEH 2022, 13-14 October 2022, Belgrade, Serbia
Belgrade : The Military Technical Institute..
https://hdl.handle.net/21.15107/rcub_cer_5825
Andrić S, Jokić I, Frantlović M, Radulović K, Spasenović M. Characterization of heterogeneous sensing layers in graphene-based gas sensors. in Proceedings - 10th International Scientific Conference on Defensive Technologies, OTEH 2022, 13-14 October 2022, Belgrade, Serbia. 2022;.
https://hdl.handle.net/21.15107/rcub_cer_5825 .
Andrić, Stevan, Jokić, Ivana, Frantlović, Miloš, Radulović, Katarina, Spasenović, Marko, "Characterization of heterogeneous sensing layers in graphene-based gas sensors" in Proceedings - 10th International Scientific Conference on Defensive Technologies, OTEH 2022, 13-14 October 2022, Belgrade, Serbia (2022),
https://hdl.handle.net/21.15107/rcub_cer_5825 .
