A model of stochastic time response of adsorption-based microfluidic biosensors is presented, that considers the competitive adsorption-desorption process coupled with mass transfer of two analytes. By using the model we analyze the expected value of the adsorbed particles number of each analyte, which determine the sensor response kinetics. The comparison with the case when only one analyte exists is used for investigation of the influence of competitive adsorption on the sensor response. The response kinetics analyzed by using the stochastic model is compared with the kinetics predicted by the deterministic response model. The results are useful for optimization of micro/nanosensors intended for detection of substances in ultra-low concentrations in complex samples.
Keywords:
competitive adsorption / mass transfer / microfluidic sensor / stochastic time response
TY - CONF
AU - Jokić, Ivana
AU - Đurić, Zoran G.
AU - Radulović, Katarina
AU - Frantlović, Miloš
PY - 2018
UR - https://www.mdpi.com/2504-3900/2/13/991
UR - http://dais.sanu.ac.rs/123456789/4715
AB - A model of stochastic time response of adsorption-based microfluidic biosensors is presented, that considers the competitive adsorption-desorption process coupled with mass transfer of two analytes. By using the model we analyze the expected value of the adsorbed particles number of each analyte, which determine the sensor response kinetics. The comparison with the case when only one analyte exists is used for investigation of the influence of competitive adsorption on the sensor response. The response kinetics analyzed by using the stochastic model is compared with the kinetics predicted by the deterministic response model. The results are useful for optimization of micro/nanosensors intended for detection of substances in ultra-low concentrations in complex samples.
PB - Basel : MDPI
C3 - Proceedings, Volume 2, Eurosensors 2018
T1 - Analysis of Stochastic Time Response of Microfluidic Biosensors in the Case of Competitive Adsorption of Two Analytes
SP - 991
VL - 2
IS - 13
DO - 10.3390/proceedings2130991
ER -
@conference{
author = "Jokić, Ivana and Đurić, Zoran G. and Radulović, Katarina and Frantlović, Miloš",
year = "2018",
url = "https://www.mdpi.com/2504-3900/2/13/991, http://dais.sanu.ac.rs/123456789/4715",
abstract = "A model of stochastic time response of adsorption-based microfluidic biosensors is presented, that considers the competitive adsorption-desorption process coupled with mass transfer of two analytes. By using the model we analyze the expected value of the adsorbed particles number of each analyte, which determine the sensor response kinetics. The comparison with the case when only one analyte exists is used for investigation of the influence of competitive adsorption on the sensor response. The response kinetics analyzed by using the stochastic model is compared with the kinetics predicted by the deterministic response model. The results are useful for optimization of micro/nanosensors intended for detection of substances in ultra-low concentrations in complex samples.",
publisher = "Basel : MDPI",
journal = "Proceedings, Volume 2, Eurosensors 2018",
title = "Analysis of Stochastic Time Response of Microfluidic Biosensors in the Case of Competitive Adsorption of Two Analytes",
pages = "991",
volume = "2",
number = "13",
doi = "10.3390/proceedings2130991"
}
Jokić I, Đurić ZG, Radulović K, Frantlović M. Analysis of Stochastic Time Response of Microfluidic Biosensors in the Case of Competitive Adsorption of Two Analytes. Proceedings, Volume 2, Eurosensors 2018. 2018;2(13):991
Jokić, I., Đurić, Z. G., Radulović, K.,& Frantlović, M. (2018). Analysis of Stochastic Time Response of Microfluidic Biosensors in the Case of Competitive Adsorption of Two Analytes.
Proceedings, Volume 2, Eurosensors 2018Basel : MDPI., 2(13), 991.
https://doi.org/10.3390/proceedings2130991
Jokić Ivana, Đurić Zoran G., Radulović Katarina, Frantlović Miloš, "Analysis of Stochastic Time Response of Microfluidic Biosensors in the Case of Competitive Adsorption of Two Analytes" 2, no. 13 (2018):991,
https://doi.org/10.3390/proceedings2130991 .
