Stochastic Time Response and Ultimate Noise Performance of Adsorption-Based Microfluidic Biosensors
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 sen...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-06-01
|
| Series: | Biosensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-6374/11/6/194 |
| _version_ | 1797530328596742144 |
|---|---|
| author | Ivana Jokić Zoran Djurić Katarina Radulović Miloš Frantlović Gradimir V. Milovanović Predrag M. Krstajić |
| author_facet | Ivana Jokić Zoran Djurić Katarina Radulović Miloš Frantlović Gradimir V. Milovanović Predrag M. Krstajić |
| author_sort | Ivana Jokić |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T10:27:28Z |
| format | Article |
| id | doaj.art-872febaa3df746229705a1459d4ddcf5 |
| institution | Directory Open Access Journal |
| issn | 2079-6374 |
| language | English |
| last_indexed | 2024-03-10T10:27:28Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Biosensors |
| spelling | doaj.art-872febaa3df746229705a1459d4ddcf52023-11-21T23:55:09ZengMDPI AGBiosensors2079-63742021-06-0111619410.3390/bios11060194Stochastic Time Response and Ultimate Noise Performance of Adsorption-Based Microfluidic BiosensorsIvana Jokić0Zoran Djurić1Katarina Radulović2Miloš Frantlović3Gradimir V. Milovanović4Predrag M. Krstajić5Institute of Chemistry, Technology and Metallurgy, National Institute of the Republic of Serbia, University of Belgrade, Njegoševa 12, 11000 Belgrade, SerbiaInstitute of Technical Sciences of SASA, Knez Mihailova 35, 11000 Belgrade, SerbiaInstitute of Chemistry, Technology and Metallurgy, National Institute of the Republic of Serbia, University of Belgrade, Njegoševa 12, 11000 Belgrade, SerbiaInstitute of Chemistry, Technology and Metallurgy, National Institute of the Republic of Serbia, University of Belgrade, Njegoševa 12, 11000 Belgrade, SerbiaSerbian Academy of Sciences and Arts, Knez Mihailova 35, 11000 Belgrade, SerbiaInstitute of Chemistry, Technology and Metallurgy, National Institute of the Republic of Serbia, University of Belgrade, Njegoševa 12, 11000 Belgrade, SerbiaIn 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.https://www.mdpi.com/2079-6374/11/6/194microfluidic adsorption-based sensorstochastic modeladsorptionmass transferultimate noise performancedetection limit |
| spellingShingle | Ivana Jokić Zoran Djurić Katarina Radulović Miloš Frantlović Gradimir V. Milovanović Predrag M. Krstajić Stochastic Time Response and Ultimate Noise Performance of Adsorption-Based Microfluidic Biosensors Biosensors microfluidic adsorption-based sensor stochastic model adsorption mass transfer ultimate noise performance detection limit |
| title | Stochastic Time Response and Ultimate Noise Performance of Adsorption-Based Microfluidic Biosensors |
| title_full | Stochastic Time Response and Ultimate Noise Performance of Adsorption-Based Microfluidic Biosensors |
| title_fullStr | Stochastic Time Response and Ultimate Noise Performance of Adsorption-Based Microfluidic Biosensors |
| title_full_unstemmed | Stochastic Time Response and Ultimate Noise Performance of Adsorption-Based Microfluidic Biosensors |
| title_short | Stochastic Time Response and Ultimate Noise Performance of Adsorption-Based Microfluidic Biosensors |
| title_sort | stochastic time response and ultimate noise performance of adsorption based microfluidic biosensors |
| topic | microfluidic adsorption-based sensor stochastic model adsorption mass transfer ultimate noise performance detection limit |
| url | https://www.mdpi.com/2079-6374/11/6/194 |
| work_keys_str_mv | AT ivanajokic stochastictimeresponseandultimatenoiseperformanceofadsorptionbasedmicrofluidicbiosensors AT zorandjuric stochastictimeresponseandultimatenoiseperformanceofadsorptionbasedmicrofluidicbiosensors AT katarinaradulovic stochastictimeresponseandultimatenoiseperformanceofadsorptionbasedmicrofluidicbiosensors AT milosfrantlovic stochastictimeresponseandultimatenoiseperformanceofadsorptionbasedmicrofluidicbiosensors AT gradimirvmilovanovic stochastictimeresponseandultimatenoiseperformanceofadsorptionbasedmicrofluidicbiosensors AT predragmkrstajic stochastictimeresponseandultimatenoiseperformanceofadsorptionbasedmicrofluidicbiosensors |