Stochastic time response and ultimate noise performance of adsorption‐based microfluidic biosensors
Authors
Jokić, IvanaĐurić, Zoran G.
Radulović, Katarina
Frantlović, Miloš
Milovanović, Gradimir V.
Krstajić, Predrag
Article (Published version)
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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 performanceSource:
Biosensors, 2021, 11, 6, 194-Publisher:
- MDPI
Funding / projects:
DOI: 10.3390/bios11060194
ISSN: 2079-6374
PubMed: 34204823
WoS: 000665563100001
Scopus: 2-s2.0-85108778142
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IHTMTY - 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 . .