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Stochastic time response and ultimate noise performance of adsorption‐based microfluidic biosensors

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2021
osnovni rad (2.980Mb)
Authors
Jokić, Ivana
Đurić, Zoran G.
Radulović, Katarina
Frantlović, Miloš
Milovanović, Gradimir V.
Krstajić, Predrag
Article (Published version)
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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 necessi-tates 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 sign...ificance 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/quanti-fication 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.

Keywords:
Adsorption / Detection limit / Mass transfer / Microfluidic adsorption‐based sensor / Quantification limit / Stochastic model / Ultimate noise performance
Source:
Biosensors, 2021, 11, 6, 194-
Publisher:
  • MDPI
Funding / projects:
  • Ministry of Education, Science and Technological Development, Republic of Serbia, Grant no. 200026 (University of Belgrade, Institute of Chemistry, Technology and Metallurgy - IChTM) (RS-200026)

DOI: 10.3390/bios11060194

ISSN: 2079-6374

PubMed: 34204823

WoS: 000665563100001

Scopus: 2-s2.0-85108778142
[ Google Scholar ]
1
URI
https://cer.ihtm.bg.ac.rs/handle/123456789/4826
Collections
  • Radovi istraživača / Researchers' publications
Institution/Community
IHTM
TY  - JOUR
AU  - Jokić, Ivana
AU  - Đurić, Zoran G.
AU  - Radulović, Katarina
AU  - Frantlović, Miloš
AU  - Milovanović, Gradimir V.
AU  - Krstajić, Predrag
PY  - 2021
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/4826
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 necessi-tates 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/quanti-fication 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  - MDPI
T2  - Biosensors
T1  - Stochastic time response and ultimate noise performance of adsorption‐based microfluidic biosensors
VL  - 11
IS  - 6
SP  - 194
DO  - 10.3390/bios11060194
ER  - 
@article{
author = "Jokić, Ivana and Đurić, Zoran G. and Radulović, Katarina and Frantlović, Miloš and Milovanović, Gradimir V. and Krstajić, Predrag",
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 necessi-tates 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/quanti-fication 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 = "MDPI",
journal = "Biosensors",
title = "Stochastic time response and ultimate noise performance of adsorption‐based microfluidic biosensors",
volume = "11",
number = "6",
pages = "194",
doi = "10.3390/bios11060194"
}
Jokić, I., Đurić, Z. G., Radulović, K., Frantlović, M., Milovanović, G. V.,& Krstajić, P.. (2021). Stochastic time response and ultimate noise performance of adsorption‐based microfluidic biosensors. in Biosensors
MDPI., 11(6), 194.
https://doi.org/10.3390/bios11060194
Jokić I, Đurić ZG, Radulović K, Frantlović M, Milovanović GV, Krstajić P. Stochastic time response and ultimate noise performance of adsorption‐based microfluidic biosensors. in Biosensors. 2021;11(6):194.
doi:10.3390/bios11060194 .
Jokić, Ivana, Đurić, Zoran G., Radulović, Katarina, Frantlović, Miloš, Milovanović, Gradimir V., Krstajić, Predrag, "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 . .

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