Steady-state analysis of stochastic time response of chemical and biological microfluidic sensors
Authors
Jokić, Ivana
Đurić, Zoran G.

Radulović, Katarina

Frantlović, Miloš

Krstajić, Predrag
Cvetanović Zobenica, Katarina
Conference object (Published version)
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In this paper we first give a short review of two stochastic models describing both the expected value and variance of the random number of adsorbed particles in microfluidic adsorption-based chemical and biological sensors. One model takes into account the influence of coupling of stochastic adsorptiondesorption processes and mass transfer on the change of the number of adsorbed particles, while the other neglects the influence of mass transfer. Subsequently, by using the two models, we perform the analysis of the expected value and variance, as well as the sensor's signal-to-noise ratio, after reaching the steady state of all transient processes. We compare the results obtained by using the different models, and determine conditions for their application. We estimate the influences of the sensing surface area and the concentration of target particles on statistical parameters of sensor response and signal-to-noise ratio, considering the cases where mass transfer is significant, and t...hose where it is not. We particularly analyze the mass transfer influence on the expected value, variance and signal-to-noise ratio. Such analysis does not exist in the available literature. The presented analysis yields new knowledge about the stochastic response of adsorption-based sensors, and it is significant for their optimization in order to achieve reliable analyte detection and improved sensing performance.
Keywords:
stochastic models / adsorption-based sensors / microfluidic sensorsSource:
IcETRAN & ETRAN 2018, Palić 11-14. 06. 2018: Program, 2018Publisher:
- ETRAN
Funding / projects:
- Micro- Nanosystems and Sensors for Electric Power and Process Industry and Environmental Protection (RS-32008)
URI
https://www.etran.rs/2018/IcETRAN/News/IcETRAN%20sumarni%20program%20sekcija_Ver.%204.3%20(1).pdfhttps://dais.sanu.ac.rs/123456789/4630
Institution/Community
Институт техничких наука САНУ / Institute of Technical Sciences of SASATY - CONF AU - Jokić, Ivana AU - Đurić, Zoran G. AU - Radulović, Katarina AU - Frantlović, Miloš AU - Krstajić, Predrag AU - Cvetanović Zobenica, Katarina PY - 2018 UR - https://www.etran.rs/2018/IcETRAN/News/IcETRAN%20sumarni%20program%20sekcija_Ver.%204.3%20(1).pdf UR - https://dais.sanu.ac.rs/123456789/4630 AB - In this paper we first give a short review of two stochastic models describing both the expected value and variance of the random number of adsorbed particles in microfluidic adsorption-based chemical and biological sensors. One model takes into account the influence of coupling of stochastic adsorptiondesorption processes and mass transfer on the change of the number of adsorbed particles, while the other neglects the influence of mass transfer. Subsequently, by using the two models, we perform the analysis of the expected value and variance, as well as the sensor's signal-to-noise ratio, after reaching the steady state of all transient processes. We compare the results obtained by using the different models, and determine conditions for their application. We estimate the influences of the sensing surface area and the concentration of target particles on statistical parameters of sensor response and signal-to-noise ratio, considering the cases where mass transfer is significant, and those where it is not. We particularly analyze the mass transfer influence on the expected value, variance and signal-to-noise ratio. Such analysis does not exist in the available literature. The presented analysis yields new knowledge about the stochastic response of adsorption-based sensors, and it is significant for their optimization in order to achieve reliable analyte detection and improved sensing performance. PB - ETRAN C3 - IcETRAN & ETRAN 2018, Palić 11-14. 06. 2018: Program T1 - Steady-state analysis of stochastic time response of chemical and biological microfluidic sensors UR - https://hdl.handle.net/21.15107/rcub_dais_4630 ER -
@conference{ author = "Jokić, Ivana and Đurić, Zoran G. and Radulović, Katarina and Frantlović, Miloš and Krstajić, Predrag and Cvetanović Zobenica, Katarina", year = "2018", abstract = "In this paper we first give a short review of two stochastic models describing both the expected value and variance of the random number of adsorbed particles in microfluidic adsorption-based chemical and biological sensors. One model takes into account the influence of coupling of stochastic adsorptiondesorption processes and mass transfer on the change of the number of adsorbed particles, while the other neglects the influence of mass transfer. Subsequently, by using the two models, we perform the analysis of the expected value and variance, as well as the sensor's signal-to-noise ratio, after reaching the steady state of all transient processes. We compare the results obtained by using the different models, and determine conditions for their application. We estimate the influences of the sensing surface area and the concentration of target particles on statistical parameters of sensor response and signal-to-noise ratio, considering the cases where mass transfer is significant, and those where it is not. We particularly analyze the mass transfer influence on the expected value, variance and signal-to-noise ratio. Such analysis does not exist in the available literature. The presented analysis yields new knowledge about the stochastic response of adsorption-based sensors, and it is significant for their optimization in order to achieve reliable analyte detection and improved sensing performance.", publisher = "ETRAN", journal = "IcETRAN & ETRAN 2018, Palić 11-14. 06. 2018: Program", title = "Steady-state analysis of stochastic time response of chemical and biological microfluidic sensors", url = "https://hdl.handle.net/21.15107/rcub_dais_4630" }
Jokić, I., Đurić, Z. G., Radulović, K., Frantlović, M., Krstajić, P.,& Cvetanović Zobenica, K.. (2018). Steady-state analysis of stochastic time response of chemical and biological microfluidic sensors. in IcETRAN & ETRAN 2018, Palić 11-14. 06. 2018: Program ETRAN.. https://hdl.handle.net/21.15107/rcub_dais_4630
Jokić I, Đurić ZG, Radulović K, Frantlović M, Krstajić P, Cvetanović Zobenica K. Steady-state analysis of stochastic time response of chemical and biological microfluidic sensors. in IcETRAN & ETRAN 2018, Palić 11-14. 06. 2018: Program. 2018;. https://hdl.handle.net/21.15107/rcub_dais_4630 .
Jokić, Ivana, Đurić, Zoran G., Radulović, Katarina, Frantlović, Miloš, Krstajić, Predrag, Cvetanović Zobenica, Katarina, "Steady-state analysis of stochastic time response of chemical and biological microfluidic sensors" in IcETRAN & ETRAN 2018, Palić 11-14. 06. 2018: Program (2018), https://hdl.handle.net/21.15107/rcub_dais_4630 .