Highly sensitive graphene-based chemical and biological sensors with selectivity achievable through low-frequency noise measurement — Theoretical considerations
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 noiseSource:
Proceedings of the International Conference on Microelectronics, ICM (2014 29th International Conference on Microelectronics, MIEL 2014), 2014, 153-156Publisher:
- IEEE
Funding / projects:
DOI: 10.1109/MIEL.2014.6842108
ISBN: 978-1-4799-5295-3
WoS: 000360788600029
Scopus: 2-s2.0-84904595214
Institution/Community
Институт техничких наука САНУ / Institute of Technical Sciences of SASATY - 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 .