Analysis of the low-frequency noise spectrum in graphene-based biochemical sensors and its application in analyte recognition and quantification
2015
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Конференцијски прилог (Објављена верзија)
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In this study, we use the theoretical model of low-frequency noise in an adsorption-based sensor to analyze the possibility for the recognition and quantification of the analyte based on the measured fluctuations spectrum. We have developed an analytical expression for the spectral density of the fluctuations of the number of analyte particles adsorbed onto the sensing surface which takes into account the processes of mass transfer through the sensor reaction chamber, adsorption and desorption, and surface diffusion of adsorbed particles [1,2]. The numerical calculations performed using the derived theory are in agreement with the experimental data from the literature obtained for graphene-based gas sensors [3,4]. While analyzing the dependence of specific features in the fluctuation spectra of various parameters, we investigate which type of information about the analyte and its interaction with the graphene surface can be obtained from the experimentally obtained noise spectrum.
...References:
1. Djurić, Z., Jokić, I., Peleš, A., Microel. Eng. 124, 81-85 (2014).
2. Djurić, Z., Jokić, I., Peleš, A., “Highly sensitive graphene-based chemical and biological sensors with selectivity achievable through low-frequency noise measurement – Theoretical considerations“, in Proceedings - MIEL 2014, 29th Int. Conference on Microelectronics, IEEE, 2014, pp. 153-156.
3. Rumyantsev, S., Liu, G., Shur, M.S., Potyrailo, R.A., and Balandin, A.A., NanoLetters 12, 2294-2295 (2012).
4. Rumyantsev, S., Liu, G., Potyrailo, R.A., Balandin, A.A., and Shur, M.S., IEEE Sensors Journal 13, 2818-2822 (2013).
Кључне речи:
low-frequency noise / adsorption–desorption / graphene / biochemical sensorsИзвор:
Program and the Book of Abstracts / Fourteenth Young Researchers' Conference Materials Sciences and Engineering, December 9-11, 2015, Belgrade, Serbia, 2015, 26-26Издавач:
- Belgrade : Institute of Technical Sciences of SASA
Институција/група
Институт техничких наука САНУ / Institute of Technical Sciences of SASATY - CONF AU - Peleš, Adriana AU - Đurić, Zoran G. AU - Jokić, Ivana PY - 2015 UR - https://dais.sanu.ac.rs/123456789/839 AB - In this study, we use the theoretical model of low-frequency noise in an adsorption-based sensor to analyze the possibility for the recognition and quantification of the analyte based on the measured fluctuations spectrum. We have developed an analytical expression for the spectral density of the fluctuations of the number of analyte particles adsorbed onto the sensing surface which takes into account the processes of mass transfer through the sensor reaction chamber, adsorption and desorption, and surface diffusion of adsorbed particles [1,2]. The numerical calculations performed using the derived theory are in agreement with the experimental data from the literature obtained for graphene-based gas sensors [3,4]. While analyzing the dependence of specific features in the fluctuation spectra of various parameters, we investigate which type of information about the analyte and its interaction with the graphene surface can be obtained from the experimentally obtained noise spectrum. References: 1. Djurić, Z., Jokić, I., Peleš, A., Microel. Eng. 124, 81-85 (2014). 2. Djurić, Z., Jokić, I., Peleš, A., “Highly sensitive graphene-based chemical and biological sensors with selectivity achievable through low-frequency noise measurement – Theoretical considerations“, in Proceedings - MIEL 2014, 29th Int. Conference on Microelectronics, IEEE, 2014, pp. 153-156. 3. Rumyantsev, S., Liu, G., Shur, M.S., Potyrailo, R.A., and Balandin, A.A., NanoLetters 12, 2294-2295 (2012). 4. Rumyantsev, S., Liu, G., Potyrailo, R.A., Balandin, A.A., and Shur, M.S., IEEE Sensors Journal 13, 2818-2822 (2013). PB - Belgrade : Institute of Technical Sciences of SASA C3 - Program and the Book of Abstracts / Fourteenth Young Researchers' Conference Materials Sciences and Engineering, December 9-11, 2015, Belgrade, Serbia T1 - Analysis of the low-frequency noise spectrum in graphene-based biochemical sensors and its application in analyte recognition and quantification SP - 26 EP - 26 UR - https://hdl.handle.net/21.15107/rcub_dais_839 ER -
@conference{ author = "Peleš, Adriana and Đurić, Zoran G. and Jokić, Ivana", year = "2015", abstract = "In this study, we use the theoretical model of low-frequency noise in an adsorption-based sensor to analyze the possibility for the recognition and quantification of the analyte based on the measured fluctuations spectrum. We have developed an analytical expression for the spectral density of the fluctuations of the number of analyte particles adsorbed onto the sensing surface which takes into account the processes of mass transfer through the sensor reaction chamber, adsorption and desorption, and surface diffusion of adsorbed particles [1,2]. The numerical calculations performed using the derived theory are in agreement with the experimental data from the literature obtained for graphene-based gas sensors [3,4]. While analyzing the dependence of specific features in the fluctuation spectra of various parameters, we investigate which type of information about the analyte and its interaction with the graphene surface can be obtained from the experimentally obtained noise spectrum. References: 1. Djurić, Z., Jokić, I., Peleš, A., Microel. Eng. 124, 81-85 (2014). 2. Djurić, Z., Jokić, I., Peleš, A., “Highly sensitive graphene-based chemical and biological sensors with selectivity achievable through low-frequency noise measurement – Theoretical considerations“, in Proceedings - MIEL 2014, 29th Int. Conference on Microelectronics, IEEE, 2014, pp. 153-156. 3. Rumyantsev, S., Liu, G., Shur, M.S., Potyrailo, R.A., and Balandin, A.A., NanoLetters 12, 2294-2295 (2012). 4. Rumyantsev, S., Liu, G., Potyrailo, R.A., Balandin, A.A., and Shur, M.S., IEEE Sensors Journal 13, 2818-2822 (2013).", publisher = "Belgrade : Institute of Technical Sciences of SASA", journal = "Program and the Book of Abstracts / Fourteenth Young Researchers' Conference Materials Sciences and Engineering, December 9-11, 2015, Belgrade, Serbia", title = "Analysis of the low-frequency noise spectrum in graphene-based biochemical sensors and its application in analyte recognition and quantification", pages = "26-26", url = "https://hdl.handle.net/21.15107/rcub_dais_839" }
Peleš, A., Đurić, Z. G.,& Jokić, I.. (2015). Analysis of the low-frequency noise spectrum in graphene-based biochemical sensors and its application in analyte recognition and quantification. in Program and the Book of Abstracts / Fourteenth Young Researchers' Conference Materials Sciences and Engineering, December 9-11, 2015, Belgrade, Serbia Belgrade : Institute of Technical Sciences of SASA., 26-26. https://hdl.handle.net/21.15107/rcub_dais_839
Peleš A, Đurić ZG, Jokić I. Analysis of the low-frequency noise spectrum in graphene-based biochemical sensors and its application in analyte recognition and quantification. in Program and the Book of Abstracts / Fourteenth Young Researchers' Conference Materials Sciences and Engineering, December 9-11, 2015, Belgrade, Serbia. 2015;:26-26. https://hdl.handle.net/21.15107/rcub_dais_839 .
Peleš, Adriana, Đurić, Zoran G., Jokić, Ivana, "Analysis of the low-frequency noise spectrum in graphene-based biochemical sensors and its application in analyte recognition and quantification" in Program and the Book of Abstracts / Fourteenth Young Researchers' Conference Materials Sciences and Engineering, December 9-11, 2015, Belgrade, Serbia (2015):26-26, https://hdl.handle.net/21.15107/rcub_dais_839 .