TY  - JOUR
AU  - Jokić, Ivana
AU  - Đurić, Zoran G.
AU  - Radulović, Katarina
AU  - Frantlović, Miloš
AU  - Milovanović, Gradimir V.
AU  - Krstajić, Predrag M.
PY  - 2021
UR  - https://dais.sanu.ac.rs/123456789/11638
AB  - In order to improve the interpretation of measurement results and to achieve the optimal performance of microfluidic biosensors, advanced mathematical models of their time response and noise are needed. The random nature of adsorption–desorption and mass transfer (MT) processes that generate the sensor response makes the sensor output signal inherently stochastic and necessitates the use of a stochastic approach in sensor response analysis. We present a stochastic model of the sensor time response, which takes into account the coupling of adsorption–desorption and MT processes. It is used for the analysis of response kinetics and ultimate noise performance of protein biosensors. We show that slow MT not only decelerates the response kinetics, but also increases the noise and decreases the sensor’s maximal achievable signal-to-noise ratio, thus degrading the ultimate sensor performance, including the minimal detectable/quantifiable analyte concentration. The results illustrate the significance of the presented model for the correct interpretation of measurement data, for the estimation of sensors’ noise performance metrics important for reliable analyte detection/quantification, as well as for sensor optimization in terms of the lower detection/quantification limit. They are also incentives for the further investigation of the MT influence in nanoscale sensors, as a possible cause of false-negative results in analyte detection experiments.
PB  - Basel : MDPI AG
T2  - Biosensors
T1  - Stochastic Time Response and Ultimate Noise Performance of Adsorption-Based Microfluidic Biosensors
SP  - 194
VL  - 11
IS  - 6
DO  - 10.3390/bios11060194
UR  - https://hdl.handle.net/21.15107/rcub_dais_11638
ER  - 

@article{
author = "Jokić, Ivana and Đurić, Zoran G. and Radulović, Katarina and Frantlović, Miloš and Milovanović, Gradimir V. and Krstajić, Predrag M.",
year = "2021",
abstract = "In order to improve the interpretation of measurement results and to achieve the optimal performance of microfluidic biosensors, advanced mathematical models of their time response and noise are needed. The random nature of adsorption–desorption and mass transfer (MT) processes that generate the sensor response makes the sensor output signal inherently stochastic and necessitates the use of a stochastic approach in sensor response analysis. We present a stochastic model of the sensor time response, which takes into account the coupling of adsorption–desorption and MT processes. It is used for the analysis of response kinetics and ultimate noise performance of protein biosensors. We show that slow MT not only decelerates the response kinetics, but also increases the noise and decreases the sensor’s maximal achievable signal-to-noise ratio, thus degrading the ultimate sensor performance, including the minimal detectable/quantifiable analyte concentration. The results illustrate the significance of the presented model for the correct interpretation of measurement data, for the estimation of sensors’ noise performance metrics important for reliable analyte detection/quantification, as well as for sensor optimization in terms of the lower detection/quantification limit. They are also incentives for the further investigation of the MT influence in nanoscale sensors, as a possible cause of false-negative results in analyte detection experiments.",
publisher = "Basel : MDPI AG",
journal = "Biosensors",
title = "Stochastic Time Response and Ultimate Noise Performance of Adsorption-Based Microfluidic Biosensors",
pages = "194",
volume = "11",
number = "6",
doi = "10.3390/bios11060194",
url = "https://hdl.handle.net/21.15107/rcub_dais_11638"
}

Jokić, I., Đurić, Z. G., Radulović, K., Frantlović, M., Milovanović, G. V.,& Krstajić, P. M.. (2021). Stochastic Time Response and Ultimate Noise Performance of Adsorption-Based Microfluidic Biosensors. in Biosensors
Basel : MDPI AG., 11(6), 194.
https://doi.org/10.3390/bios11060194
https://hdl.handle.net/21.15107/rcub_dais_11638

Jokić I, Đurić ZG, Radulović K, Frantlović M, Milovanović GV, Krstajić PM. Stochastic Time Response and Ultimate Noise Performance of Adsorption-Based Microfluidic Biosensors. in Biosensors. 2021;11(6):194.
doi:10.3390/bios11060194
https://hdl.handle.net/21.15107/rcub_dais_11638 .

Jokić, Ivana, Đurić, Zoran G., Radulović, Katarina, Frantlović, Miloš, Milovanović, Gradimir V., Krstajić, Predrag M., "Stochastic Time Response and Ultimate Noise Performance of Adsorption-Based Microfluidic Biosensors" in Biosensors, 11, no. 6 (2021):194,
https://doi.org/10.3390/bios11060194 .,
https://hdl.handle.net/21.15107/rcub_dais_11638 .