Frantlović, Miloš

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orcid::0000-0002-6015-8489
  • Frantlović, Miloš (18)
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Author's Bibliography

Stochastic Time Response and Ultimate Noise Performance of Adsorption-Based Microfluidic Biosensors

Jokić, Ivana; Đurić, Zoran G.; Radulović, Katarina; Frantlović, Miloš; Milovanović, Gradimir V.; Krstajić, Predrag M.

(Basel : MDPI AG, 2021)

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
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.
Biosensors
Basel : MDPI AG., 11(6), 194.
https://doi.org/10.3390/bios11060194
Jokić I, Đurić ZG, Radulović K, Frantlović M, Milovanović GV, Krstajić PM. Stochastic Time Response and Ultimate Noise Performance of Adsorption-Based Microfluidic Biosensors. Biosensors. 2021;11(6):194.
doi:10.3390/bios11060194.
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" Biosensors, 11, no. 6 (2021):194,
https://doi.org/10.3390/bios11060194 .

Analysis of Intrinsic Stochastic Fluctuations of the Time Response of Adsorption-Based Microfluidic Bio/Chemical Sensors: the Case of Bianalyte Mixtures

Jokić, Ivana; Đurić, Zoran G.; Radulović, Katarina; Frantlović, Miloš; Krstajić, Predrag

(Institute of Electrical and Electronics Engineers (IEEE), 2019)

TY  - CONF
AU  - Jokić, Ivana
AU  - Đurić, Zoran G.
AU  - Radulović, Katarina
AU  - Frantlović, Miloš
AU  - Krstajić, Predrag
PY  - 2019
AB  - Real-time in situ operation of bio/chemical sensors assumes detection of chemical substances or biological specimens in samples of complex composition. Since sensor selectivity cannot be ideal, adsorption of particles other than target particles inevitably occur on the sensing surface. That affects the sensor response and its intrinsic fluctuations which are caused by stochastic fluctuations of the numbers of adsorbed particles of all the adsorbing substances. In microfluidic sensors, such response fluctuations are a result of coupled adsorption, desorption and mass transfer (convection and diffusion) processes of analyte particles. Analysis of these fluctuations is important because they constitute the adsorption-desorption noise, which limits the sensing performance. In this work we perform the analysis of fluctuations by using a stochastic model of sensor response after the steady state is reached, in the case of two-analyte adsorption, considering mass transfer processes. The results enable estimation of the ultimate sensing performance of adsorption-based microfluidic bio/chemical sensors of different sensing areas, operating in bianalyte mixture environments.
PB  - Institute of Electrical and Electronics Engineers (IEEE)
C3  - 2019 IEEE 31st International Conference on Microelectronics, MIEL 2019 - Proceedings
T1  - Analysis of Intrinsic Stochastic Fluctuations of the Time Response of Adsorption-Based Microfluidic Bio/Chemical Sensors: the Case of Bianalyte Mixtures
SP  - 161
EP  - 164
DO  - 10.1109/MIEL.2019.8889579
UR  - https://hdl.handle.net/21.15107/rcub_dais_6918
ER  - 
@conference{
author = "Jokić, Ivana and Đurić, Zoran G. and Radulović, Katarina and Frantlović, Miloš and Krstajić, Predrag",
year = "2019",
abstract = "Real-time in situ operation of bio/chemical sensors assumes detection of chemical substances or biological specimens in samples of complex composition. Since sensor selectivity cannot be ideal, adsorption of particles other than target particles inevitably occur on the sensing surface. That affects the sensor response and its intrinsic fluctuations which are caused by stochastic fluctuations of the numbers of adsorbed particles of all the adsorbing substances. In microfluidic sensors, such response fluctuations are a result of coupled adsorption, desorption and mass transfer (convection and diffusion) processes of analyte particles. Analysis of these fluctuations is important because they constitute the adsorption-desorption noise, which limits the sensing performance. In this work we perform the analysis of fluctuations by using a stochastic model of sensor response after the steady state is reached, in the case of two-analyte adsorption, considering mass transfer processes. The results enable estimation of the ultimate sensing performance of adsorption-based microfluidic bio/chemical sensors of different sensing areas, operating in bianalyte mixture environments.",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
journal = "2019 IEEE 31st International Conference on Microelectronics, MIEL 2019 - Proceedings",
title = "Analysis of Intrinsic Stochastic Fluctuations of the Time Response of Adsorption-Based Microfluidic Bio/Chemical Sensors: the Case of Bianalyte Mixtures",
pages = "161-164",
doi = "10.1109/MIEL.2019.8889579",
url = "https://hdl.handle.net/21.15107/rcub_dais_6918"
}
Jokić, I., Đurić, Z. G., Radulović, K., Frantlović, M.,& Krstajić, P. (2019). Analysis of Intrinsic Stochastic Fluctuations of the Time Response of Adsorption-Based Microfluidic Bio/Chemical Sensors: the Case of Bianalyte Mixtures.
2019 IEEE 31st International Conference on Microelectronics, MIEL 2019 - Proceedings
Institute of Electrical and Electronics Engineers (IEEE)., 161-164.
https://doi.org/10.1109/MIEL.2019.8889579
Jokić I, Đurić ZG, Radulović K, Frantlović M, Krstajić P. Analysis of Intrinsic Stochastic Fluctuations of the Time Response of Adsorption-Based Microfluidic Bio/Chemical Sensors: the Case of Bianalyte Mixtures. 2019 IEEE 31st International Conference on Microelectronics, MIEL 2019 - Proceedings. 2019;:161-164.
doi:10.1109/MIEL.2019.8889579.
Jokić Ivana, Đurić Zoran G., Radulović Katarina, Frantlović Miloš, Krstajić Predrag, "Analysis of Intrinsic Stochastic Fluctuations of the Time Response of Adsorption-Based Microfluidic Bio/Chemical Sensors: the Case of Bianalyte Mixtures" 2019 IEEE 31st International Conference on Microelectronics, MIEL 2019 - Proceedings (2019):161-164,
https://doi.org/10.1109/MIEL.2019.8889579 .

Analysis of Intrinsic Stochastic Fluctuations of the Time Response of Adsorption-Based Microfluidic Bio/Chemical Sensors: the Case of Bianalyte Mixtures

Jokić, Ivana; Đurić, Zoran G.; Radulović, Katarina; Frantlović, Miloš; Krstajić, Predrag

(Institute of Electrical and Electronics Engineers (IEEE), 2019)

TY  - CONF
AU  - Jokić, Ivana
AU  - Đurić, Zoran G.
AU  - Radulović, Katarina
AU  - Frantlović, Miloš
AU  - Krstajić, Predrag
PY  - 2019
AB  - Real-time in situ operation of bio/chemical sensors assumes detection of chemical substances or biological specimens in samples of complex composition. Since sensor selectivity cannot be ideal, adsorption of particles other than target particles inevitably occur on the sensing surface. That affects the sensor response and its intrinsic fluctuations which are caused by stochastic fluctuations of the numbers of adsorbed particles of all the adsorbing substances. In microfluidic sensors, such response fluctuations are a result of coupled adsorption, desorption and mass transfer (convection and diffusion) processes of analyte particles. Analysis of these fluctuations is important because they constitute the adsorption-desorption noise, which limits the sensing performance. In this work we perform the analysis of fluctuations by using a stochastic model of sensor response after the steady state is reached, in the case of two-analyte adsorption, considering mass transfer processes. The results enable estimation of the ultimate sensing performance of adsorption-based microfluidic bio/chemical sensors of different sensing areas, operating in bianalyte mixture environments.
PB  - Institute of Electrical and Electronics Engineers (IEEE)
C3  - 2019 IEEE 31st International Conference on Microelectronics, MIEL 2019 - Proceedings
T1  - Analysis of Intrinsic Stochastic Fluctuations of the Time Response of Adsorption-Based Microfluidic Bio/Chemical Sensors: the Case of Bianalyte Mixtures
SP  - 161
EP  - 164
DO  - 10.1109/MIEL.2019.8889579
UR  - https://hdl.handle.net/21.15107/rcub_dais_6909
ER  - 
@conference{
author = "Jokić, Ivana and Đurić, Zoran G. and Radulović, Katarina and Frantlović, Miloš and Krstajić, Predrag",
year = "2019",
abstract = "Real-time in situ operation of bio/chemical sensors assumes detection of chemical substances or biological specimens in samples of complex composition. Since sensor selectivity cannot be ideal, adsorption of particles other than target particles inevitably occur on the sensing surface. That affects the sensor response and its intrinsic fluctuations which are caused by stochastic fluctuations of the numbers of adsorbed particles of all the adsorbing substances. In microfluidic sensors, such response fluctuations are a result of coupled adsorption, desorption and mass transfer (convection and diffusion) processes of analyte particles. Analysis of these fluctuations is important because they constitute the adsorption-desorption noise, which limits the sensing performance. In this work we perform the analysis of fluctuations by using a stochastic model of sensor response after the steady state is reached, in the case of two-analyte adsorption, considering mass transfer processes. The results enable estimation of the ultimate sensing performance of adsorption-based microfluidic bio/chemical sensors of different sensing areas, operating in bianalyte mixture environments.",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
journal = "2019 IEEE 31st International Conference on Microelectronics, MIEL 2019 - Proceedings",
title = "Analysis of Intrinsic Stochastic Fluctuations of the Time Response of Adsorption-Based Microfluidic Bio/Chemical Sensors: the Case of Bianalyte Mixtures",
pages = "161-164",
doi = "10.1109/MIEL.2019.8889579",
url = "https://hdl.handle.net/21.15107/rcub_dais_6909"
}
Jokić, I., Đurić, Z. G., Radulović, K., Frantlović, M.,& Krstajić, P. (2019). Analysis of Intrinsic Stochastic Fluctuations of the Time Response of Adsorption-Based Microfluidic Bio/Chemical Sensors: the Case of Bianalyte Mixtures.
2019 IEEE 31st International Conference on Microelectronics, MIEL 2019 - Proceedings
Institute of Electrical and Electronics Engineers (IEEE)., 161-164.
https://doi.org/10.1109/MIEL.2019.8889579
Jokić I, Đurić ZG, Radulović K, Frantlović M, Krstajić P. Analysis of Intrinsic Stochastic Fluctuations of the Time Response of Adsorption-Based Microfluidic Bio/Chemical Sensors: the Case of Bianalyte Mixtures. 2019 IEEE 31st International Conference on Microelectronics, MIEL 2019 - Proceedings. 2019;:161-164.
doi:10.1109/MIEL.2019.8889579.
Jokić Ivana, Đurić Zoran G., Radulović Katarina, Frantlović Miloš, Krstajić Predrag, "Analysis of Intrinsic Stochastic Fluctuations of the Time Response of Adsorption-Based Microfluidic Bio/Chemical Sensors: the Case of Bianalyte Mixtures" 2019 IEEE 31st International Conference on Microelectronics, MIEL 2019 - Proceedings (2019):161-164,
https://doi.org/10.1109/MIEL.2019.8889579 .

Analysis of the Fundamental Detection Limit in Microfluidic Chemical and Biological Sensors

Jokić, Ivana; Radulović, Katarina; Frantlović, Miloš; Đurić, Zoran G.; Cvetanović Zobenica, Katarina; Krstajić, Predrag

(Belgrade : ETRAN, 2019)

TY  - CONF
AU  - Jokić, Ivana
AU  - Radulović, Katarina
AU  - Frantlović, Miloš
AU  - Đurić, Zoran G.
AU  - Cvetanović Zobenica, Katarina
AU  - Krstajić, Predrag
PY  - 2019
AB  - Detection limits in microfluidic chemical and biological sensors, which determine the range of analyte concentrations reliably detectable by the sensor, are important sensor parameters. The lower limit of detection, defined as the lowest concentration that can be distinguished from noise, has its minimum determined by the fundamental adsorption-desorption (AD) noise, inevitable in adsorption-based devices. In this work, we analyze this fundamental detection limit, particularly considering the influence of mass transfer processes in microfluidic devices. For that purpose, we derive the expression for the sensor’s signal-to-noise ratio (SNR), which takes into account the AD noise, and then the equation for the minimal analyte concentration at which the SNR has a sufficiently high value for reliable analyte detection. Subsequently, we analyze the mass transfer influence on the sensor’s maximal achievable signal-to-noise ratio and on the fundamental detection limit. The results of the analysis show a significant mass transfer influence on these important sensor performance metrics. They also provide guidelines for achieving the sensor’s best possible detection performance through the optimization of the sensor design and operating conditions.
PB  - Belgrade : ETRAN
PB  - Belgrade :Academic Mind
C3  - Proceedings of Papers – 6th International Conference on Electrical, Electronic and Computing Engineering, IcETRAN 2019, Silver Lake, Serbia, June 03 – 06, 2019 / Zbornik radova - 63. Konferencija za elektroniku, telekomunikacije, računarstvo, automatiku i nuklearnu tehniku, Srebrno jezero, 03 – 06. juna, 2019. godine
T1  - Analysis of the Fundamental Detection Limit in Microfluidic Chemical and Biological Sensors
SP  - 571
EP  - 574
UR  - https://hdl.handle.net/21.15107/rcub_dais_6961
ER  - 
@conference{
author = "Jokić, Ivana and Radulović, Katarina and Frantlović, Miloš and Đurić, Zoran G. and Cvetanović Zobenica, Katarina and Krstajić, Predrag",
year = "2019",
abstract = "Detection limits in microfluidic chemical and biological sensors, which determine the range of analyte concentrations reliably detectable by the sensor, are important sensor parameters. The lower limit of detection, defined as the lowest concentration that can be distinguished from noise, has its minimum determined by the fundamental adsorption-desorption (AD) noise, inevitable in adsorption-based devices. In this work, we analyze this fundamental detection limit, particularly considering the influence of mass transfer processes in microfluidic devices. For that purpose, we derive the expression for the sensor’s signal-to-noise ratio (SNR), which takes into account the AD noise, and then the equation for the minimal analyte concentration at which the SNR has a sufficiently high value for reliable analyte detection. Subsequently, we analyze the mass transfer influence on the sensor’s maximal achievable signal-to-noise ratio and on the fundamental detection limit. The results of the analysis show a significant mass transfer influence on these important sensor performance metrics. They also provide guidelines for achieving the sensor’s best possible detection performance through the optimization of the sensor design and operating conditions.",
publisher = "Belgrade : ETRAN, Belgrade :Academic Mind",
journal = "Proceedings of Papers – 6th International Conference on Electrical, Electronic and Computing Engineering, IcETRAN 2019, Silver Lake, Serbia, June 03 – 06, 2019 / Zbornik radova - 63. Konferencija za elektroniku, telekomunikacije, računarstvo, automatiku i nuklearnu tehniku, Srebrno jezero, 03 – 06. juna, 2019. godine",
title = "Analysis of the Fundamental Detection Limit in Microfluidic Chemical and Biological Sensors",
pages = "571-574",
url = "https://hdl.handle.net/21.15107/rcub_dais_6961"
}
Jokić, I., Radulović, K., Frantlović, M., Đurić, Z. G., Cvetanović Zobenica, K.,& Krstajić, P. (2019). Analysis of the Fundamental Detection Limit in Microfluidic Chemical and Biological Sensors.
Proceedings of Papers – 6th International Conference on Electrical, Electronic and Computing Engineering, IcETRAN 2019, Silver Lake, Serbia, June 03 – 06, 2019 / Zbornik radova - 63. Konferencija za elektroniku, telekomunikacije, računarstvo, automatiku i nuklearnu tehniku, Srebrno jezero, 03 – 06. juna, 2019. godine
Belgrade :Academic Mind., 571-574.
Jokić I, Radulović K, Frantlović M, Đurić ZG, Cvetanović Zobenica K, Krstajić P. Analysis of the Fundamental Detection Limit in Microfluidic Chemical and Biological Sensors. Proceedings of Papers – 6th International Conference on Electrical, Electronic and Computing Engineering, IcETRAN 2019, Silver Lake, Serbia, June 03 – 06, 2019 / Zbornik radova - 63. Konferencija za elektroniku, telekomunikacije, računarstvo, automatiku i nuklearnu tehniku, Srebrno jezero, 03 – 06. juna, 2019. godine. 2019;:571-574.
Jokić Ivana, Radulović Katarina, Frantlović Miloš, Đurić Zoran G., Cvetanović Zobenica Katarina, Krstajić Predrag, "Analysis of the Fundamental Detection Limit in Microfluidic Chemical and Biological Sensors" Proceedings of Papers – 6th International Conference on Electrical, Electronic and Computing Engineering, IcETRAN 2019, Silver Lake, Serbia, June 03 – 06, 2019 / Zbornik radova - 63. Konferencija za elektroniku, telekomunikacije, računarstvo, automatiku i nuklearnu tehniku, Srebrno jezero, 03 – 06. juna, 2019. godine (2019):571-574

Analysis of Stochastic Time Response of Microfluidic Biosensors in the Case of Competitive Adsorption of Two Analytes

Jokić, Ivana; Đurić, Zoran G.; Radulović, Katarina; Frantlović, Miloš

(Basel : MDPI, 2018)

TY  - CONF
AU  - Jokić, Ivana
AU  - Đurić, Zoran G.
AU  - Radulović, Katarina
AU  - Frantlović, Miloš
PY  - 2018
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
UR  - https://hdl.handle.net/21.15107/rcub_dais_4715
ER  - 
@conference{
author = "Jokić, Ivana and Đurić, Zoran G. and Radulović, Katarina and Frantlović, Miloš",
year = "2018",
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",
url = "https://hdl.handle.net/21.15107/rcub_dais_4715"
}
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 2018
Basel : MDPI., 2(13), 991.
https://doi.org/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.
doi: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" Proceedings, Volume 2, Eurosensors 2018, 2, no. 13 (2018):991,
https://doi.org/10.3390/proceedings2130991 .
1

Steady-state analysis of stochastic time response of chemical and biological microfluidic sensors

Jokić, Ivana; Đurić, Zoran G.; Radulović, Katarina; Frantlović, Miloš; Krstajić, Predrag; Cvetanović Zobenica, Katarina

(ETRAN, 2018)

TY  - CONF
AU  - Jokić, Ivana
AU  - Đurić, Zoran G.
AU  - Radulović, Katarina
AU  - Frantlović, Miloš
AU  - Krstajić, Predrag
AU  - Cvetanović Zobenica, Katarina
PY  - 2018
AB  - In this paper we first give a short review of two stochastic models describing both the expected value and variance of the random number of adsorbed particles in microfluidic adsorption-based chemical and biological sensors. One model takes into account the influence of coupling of stochastic adsorptiondesorption processes and mass transfer on the change of the number of adsorbed particles, while the other neglects the influence of mass transfer. Subsequently, by using the two models, we perform the analysis of the expected value and variance, as well as the sensor's signal-to-noise ratio, after reaching the steady state of all transient processes. We compare the results obtained by using the different models, and determine conditions for their application. We estimate the influences of the sensing surface area and the concentration of target particles on statistical parameters of sensor response and signal-to-noise ratio, considering the cases where mass transfer is significant, and those where it is not. We particularly analyze the mass transfer influence on the expected value, variance and signal-to-noise ratio. Such analysis does not exist in the available literature. The presented analysis yields new knowledge about the stochastic response of adsorption-based sensors, and it is significant for their optimization in order to achieve reliable analyte detection and improved sensing performance.
PB  - ETRAN
C3  - IcETRAN & ETRAN 2018, Palić 11-14. 06. 2018: Program
T1  - Steady-state analysis of stochastic time response of chemical and biological microfluidic sensors
UR  - https://hdl.handle.net/21.15107/rcub_dais_4630
ER  - 
@conference{
author = "Jokić, Ivana and Đurić, Zoran G. and Radulović, Katarina and Frantlović, Miloš and Krstajić, Predrag and Cvetanović Zobenica, Katarina",
year = "2018",
abstract = "In this paper we first give a short review of two stochastic models describing both the expected value and variance of the random number of adsorbed particles in microfluidic adsorption-based chemical and biological sensors. One model takes into account the influence of coupling of stochastic adsorptiondesorption processes and mass transfer on the change of the number of adsorbed particles, while the other neglects the influence of mass transfer. Subsequently, by using the two models, we perform the analysis of the expected value and variance, as well as the sensor's signal-to-noise ratio, after reaching the steady state of all transient processes. We compare the results obtained by using the different models, and determine conditions for their application. We estimate the influences of the sensing surface area and the concentration of target particles on statistical parameters of sensor response and signal-to-noise ratio, considering the cases where mass transfer is significant, and those where it is not. We particularly analyze the mass transfer influence on the expected value, variance and signal-to-noise ratio. Such analysis does not exist in the available literature. The presented analysis yields new knowledge about the stochastic response of adsorption-based sensors, and it is significant for their optimization in order to achieve reliable analyte detection and improved sensing performance.",
publisher = "ETRAN",
journal = "IcETRAN & ETRAN 2018, Palić 11-14. 06. 2018: Program",
title = "Steady-state analysis of stochastic time response of chemical and biological microfluidic sensors",
url = "https://hdl.handle.net/21.15107/rcub_dais_4630"
}
Jokić, I., Đurić, Z. G., Radulović, K., Frantlović, M., Krstajić, P.,& Cvetanović Zobenica, K. (2018). Steady-state analysis of stochastic time response of chemical and biological microfluidic sensors.
IcETRAN & ETRAN 2018, Palić 11-14. 06. 2018: Program
ETRAN..
Jokić I, Đurić ZG, Radulović K, Frantlović M, Krstajić P, Cvetanović Zobenica K. Steady-state analysis of stochastic time response of chemical and biological microfluidic sensors. IcETRAN & ETRAN 2018, Palić 11-14. 06. 2018: Program. 2018;.
Jokić Ivana, Đurić Zoran G., Radulović Katarina, Frantlović Miloš, Krstajić Predrag, Cvetanović Zobenica Katarina, "Steady-state analysis of stochastic time response of chemical and biological microfluidic sensors" IcETRAN & ETRAN 2018, Palić 11-14. 06. 2018: Program (2018)

Deterministic versus Stochastic Analysis of Competitive Adsorption in Equilibrium in Microfluidic Biosensors

Jokić, Ivana; Đurić, Zoran G.; Radulović, Katarina; Frantlović, Miloš

(Elsevier, 2018)

TY  - JOUR
AU  - Jokić, Ivana
AU  - Đurić, Zoran G.
AU  - Radulović, Katarina
AU  - Frantlović, Miloš
PY  - 2018
AB  - We investigate the stochastic sensor response in equilibrium, taking into account competitive adsorption and mass transfer of analyte particles in a microfluidic biosensor chamber. After presentation of the stochastic model, we perform the analysis of the equilibrium response expected value as a function of the sensing area and the competitor molecules concentrations. By comparison with the deterministic value of the sensor response, the limits of applicability of the deterministic approach are investigated. The results of the presented analysis enable better interpretation of measurement results obtained by using sensors with micro/nanoscale sensing surface, as well as optimization of their design and operating conditions.
PB  - Elsevier
T2  - Materials Today: Proceedings
T1  - Deterministic versus Stochastic Analysis of Competitive Adsorption in Equilibrium in Microfluidic Biosensors
SP  - 16006
EP  - 16011
VL  - 5
IS  - 8, Part 2
DO  - 10.1016/j.matpr.2018.05.045
UR  - https://hdl.handle.net/21.15107/rcub_dais_4550
ER  - 
@article{
author = "Jokić, Ivana and Đurić, Zoran G. and Radulović, Katarina and Frantlović, Miloš",
year = "2018",
abstract = "We investigate the stochastic sensor response in equilibrium, taking into account competitive adsorption and mass transfer of analyte particles in a microfluidic biosensor chamber. After presentation of the stochastic model, we perform the analysis of the equilibrium response expected value as a function of the sensing area and the competitor molecules concentrations. By comparison with the deterministic value of the sensor response, the limits of applicability of the deterministic approach are investigated. The results of the presented analysis enable better interpretation of measurement results obtained by using sensors with micro/nanoscale sensing surface, as well as optimization of their design and operating conditions.",
publisher = "Elsevier",
journal = "Materials Today: Proceedings",
title = "Deterministic versus Stochastic Analysis of Competitive Adsorption in Equilibrium in Microfluidic Biosensors",
pages = "16006-16011",
volume = "5",
number = "8, Part 2",
doi = "10.1016/j.matpr.2018.05.045",
url = "https://hdl.handle.net/21.15107/rcub_dais_4550"
}
Jokić, I., Đurić, Z. G., Radulović, K.,& Frantlović, M. (2018). Deterministic versus Stochastic Analysis of Competitive Adsorption in Equilibrium in Microfluidic Biosensors.
Materials Today: Proceedings
Elsevier., 5(8, Part 2), 16006-16011.
https://doi.org/10.1016/j.matpr.2018.05.045
Jokić I, Đurić ZG, Radulović K, Frantlović M. Deterministic versus Stochastic Analysis of Competitive Adsorption in Equilibrium in Microfluidic Biosensors. Materials Today: Proceedings. 2018;5(8, Part 2):16006-16011.
doi:10.1016/j.matpr.2018.05.045.
Jokić Ivana, Đurić Zoran G., Radulović Katarina, Frantlović Miloš, "Deterministic versus Stochastic Analysis of Competitive Adsorption in Equilibrium in Microfluidic Biosensors" Materials Today: Proceedings, 5, no. 8, Part 2 (2018):16006-16011,
https://doi.org/10.1016/j.matpr.2018.05.045 .

Stochastic time response of adsorption-based micro/nanobiosensors with a fluidic reaction chamber: The influence of mass transfer

Jokić, Ivana; Đurić, Zoran G.; Radulović, Katarina; Frantlović, Miloš

(IEEE, 2017)

TY  - CONF
AU  - Jokić, Ivana
AU  - Đurić, Zoran G.
AU  - Radulović, Katarina
AU  - Frantlović, Miloš
PY  - 2017
AB  - An approximate model for efficient analysis of stochastic time response of microfluidic biosensors is presented, that considers a random AD process coupled with mass transfer (convection and diffusion) of target substance particles. The deterministic model of sensor response is also reviewed. We perform the analysis of the mass transfer influence on the kinetics and the steady-state value of the response calculated according to the two models (deterministic and stochastic). The results are presented for the sensors with different micro/nanoscale active surfaces. The comparison of the responses obtained by using the two models can be utilized to distinguish the cases in which the application of the deterministic model is justified from those in which the stochastic model is necessary. The presented findings enable more accurate interpretation of measurement results obtained by using micro/nanobiosensors.
PB  - IEEE
C3  - 2017 IEEE 30th International Conference on Microelectronics (MIEL)
T1  - Stochastic time response of adsorption-based micro/nanobiosensors with a fluidic reaction chamber: The influence of mass transfer
SP  - 127
EP  - 130
DO  - 10.1109/MIEL.2017.8190084
UR  - https://hdl.handle.net/21.15107/rcub_dais_3684
ER  - 
@conference{
author = "Jokić, Ivana and Đurić, Zoran G. and Radulović, Katarina and Frantlović, Miloš",
year = "2017",
abstract = "An approximate model for efficient analysis of stochastic time response of microfluidic biosensors is presented, that considers a random AD process coupled with mass transfer (convection and diffusion) of target substance particles. The deterministic model of sensor response is also reviewed. We perform the analysis of the mass transfer influence on the kinetics and the steady-state value of the response calculated according to the two models (deterministic and stochastic). The results are presented for the sensors with different micro/nanoscale active surfaces. The comparison of the responses obtained by using the two models can be utilized to distinguish the cases in which the application of the deterministic model is justified from those in which the stochastic model is necessary. The presented findings enable more accurate interpretation of measurement results obtained by using micro/nanobiosensors.",
publisher = "IEEE",
journal = "2017 IEEE 30th International Conference on Microelectronics (MIEL)",
title = "Stochastic time response of adsorption-based micro/nanobiosensors with a fluidic reaction chamber: The influence of mass transfer",
pages = "127-130",
doi = "10.1109/MIEL.2017.8190084",
url = "https://hdl.handle.net/21.15107/rcub_dais_3684"
}
Jokić, I., Đurić, Z. G., Radulović, K.,& Frantlović, M. (2017). Stochastic time response of adsorption-based micro/nanobiosensors with a fluidic reaction chamber: The influence of mass transfer.
2017 IEEE 30th International Conference on Microelectronics (MIEL)
IEEE., 127-130.
https://doi.org/10.1109/MIEL.2017.8190084
Jokić I, Đurić ZG, Radulović K, Frantlović M. Stochastic time response of adsorption-based micro/nanobiosensors with a fluidic reaction chamber: The influence of mass transfer. 2017 IEEE 30th International Conference on Microelectronics (MIEL). 2017;:127-130.
doi:10.1109/MIEL.2017.8190084.
Jokić Ivana, Đurić Zoran G., Radulović Katarina, Frantlović Miloš, "Stochastic time response of adsorption-based micro/nanobiosensors with a fluidic reaction chamber: The influence of mass transfer" 2017 IEEE 30th International Conference on Microelectronics (MIEL) (2017):127-130,
https://doi.org/10.1109/MIEL.2017.8190084 .
1
1

Fluctuations of the number of adsorbed micro/nanoparticles in sensors for measurement of particle concentration in air and liquid environments

Jokić, Ivana; Đurić, Zoran G.; Radulović, Katarina; Frantlović, Miloš

(Belgrade: Association of the Chemical Engineers of Serbia, 2015)

TY  - JOUR
AU  - Jokić, Ivana
AU  - Đurić, Zoran G.
AU  - Radulović, Katarina
AU  - Frantlović, Miloš
PY  - 2015
AB  - A theoretical model of fluctuations of the number of adsorbed micro/nanoparticles in environmental sensors operating in air and liquids is presented, taking into account the effects of the mass transfer processes of the target particles in a sensor reaction chamber. The expressions for the total power of the corresponding adsorption-desorption noise, and for the corresponding signal-to-noise ratio are also derived. The presented analysis shows that the transfer processes can have a significant influence on the sensors limiting performance. The influence on both the fluctuations spectrum and the signal-to-noise ratio is estimated at different values of target particles concentration, functionalization sites surface density, and adsorption and desorption rate constants (the values are chosen from the ranges corresponding to real conditions). The analysis provides the guidelines for optimization of sensor design and operating conditions for the given target substance and sensor functionalization, in order to decrease the influence of the mass transfer, thus improving the ultimate performance (e.g., minimal detectable signal, signal-to-noise ratio) of sensors for particle detection. The calculations we performed show that it is possible to increase the signal-to-noise ratio for as much as two orders of magnitude by using optimization that eliminates the mass transfer influence. © 2015, CI and CEQ. All Rights Reserved.
PB  - Belgrade: Association of the Chemical Engineers of Serbia
T2  - Chemical Industry and Chemical Engineering Quarterly
T1  - Fluctuations of the number of adsorbed micro/nanoparticles in sensors for measurement of particle concentration in air and liquid environments
SP  - 141
EP  - 147
VL  - 21
IS  - 1-2
DO  - 10.2298/CICEQ140219011J
UR  - https://hdl.handle.net/21.15107/rcub_dais_3538
ER  - 
@article{
author = "Jokić, Ivana and Đurić, Zoran G. and Radulović, Katarina and Frantlović, Miloš",
year = "2015",
abstract = "A theoretical model of fluctuations of the number of adsorbed micro/nanoparticles in environmental sensors operating in air and liquids is presented, taking into account the effects of the mass transfer processes of the target particles in a sensor reaction chamber. The expressions for the total power of the corresponding adsorption-desorption noise, and for the corresponding signal-to-noise ratio are also derived. The presented analysis shows that the transfer processes can have a significant influence on the sensors limiting performance. The influence on both the fluctuations spectrum and the signal-to-noise ratio is estimated at different values of target particles concentration, functionalization sites surface density, and adsorption and desorption rate constants (the values are chosen from the ranges corresponding to real conditions). The analysis provides the guidelines for optimization of sensor design and operating conditions for the given target substance and sensor functionalization, in order to decrease the influence of the mass transfer, thus improving the ultimate performance (e.g., minimal detectable signal, signal-to-noise ratio) of sensors for particle detection. The calculations we performed show that it is possible to increase the signal-to-noise ratio for as much as two orders of magnitude by using optimization that eliminates the mass transfer influence. © 2015, CI and CEQ. All Rights Reserved.",
publisher = "Belgrade: Association of the Chemical Engineers of Serbia",
journal = "Chemical Industry and Chemical Engineering Quarterly",
title = "Fluctuations of the number of adsorbed micro/nanoparticles in sensors for measurement of particle concentration in air and liquid environments",
pages = "141-147",
volume = "21",
number = "1-2",
doi = "10.2298/CICEQ140219011J",
url = "https://hdl.handle.net/21.15107/rcub_dais_3538"
}
Jokić, I., Đurić, Z. G., Radulović, K.,& Frantlović, M. (2015). Fluctuations of the number of adsorbed micro/nanoparticles in sensors for measurement of particle concentration in air and liquid environments.
Chemical Industry and Chemical Engineering Quarterly
Belgrade: Association of the Chemical Engineers of Serbia., 21(1-2), 141-147.
https://doi.org/10.2298/CICEQ140219011J
Jokić I, Đurić ZG, Radulović K, Frantlović M. Fluctuations of the number of adsorbed micro/nanoparticles in sensors for measurement of particle concentration in air and liquid environments. Chemical Industry and Chemical Engineering Quarterly. 2015;21(1-2):141-147.
doi:10.2298/CICEQ140219011J.
Jokić Ivana, Đurić Zoran G., Radulović Katarina, Frantlović Miloš, "Fluctuations of the number of adsorbed micro/nanoparticles in sensors for measurement of particle concentration in air and liquid environments" Chemical Industry and Chemical Engineering Quarterly, 21, no. 1-2 (2015):141-147,
https://doi.org/10.2298/CICEQ140219011J .

Adsorption-desorption noise in microfluidic biosensors operating in multianalyte environments

Jokić, Ivana; Frantlović, Miloš; Đurić, Zoran G.; Radulović, Katarina; Jokić, Zorana

(Elsevier, 2015)

TY  - JOUR
AU  - Jokić, Ivana
AU  - Frantlović, Miloš
AU  - Đurić, Zoran G.
AU  - Radulović, Katarina
AU  - Jokić, Zorana
PY  - 2015
AB  - We present a theoretical model of adsorption-desorption (AD) noise in microfluidic biosensors operating in multianalyte environments. This noise is caused by the stochastic nature of the processes that generate the sensor response: reversible adsorption of n analytes coupled with mass transfer (convection and diffusion) of analyte particles through the microfluidic channel to and from the surface binding sites. The parameters of the obtained analytical expression for the AD noise power spectral density, determining the shape of the noise spectrum, contain information on the concentrations of all the adsorbing species, their association and dissociation rate constants, mass transfer coefficients and molecular masses. The AD noise spectrum, therefore, offers additional data about multiple analytes, apart from those obtained by the commonly used time domain analysis of sensor response. Therefore the derived model of AD noise contributes to the theoretical basis necessary for the development of new methods for determination of target analyte parameters in complex samples or even for simultaneous detection of multiple analytes using a single sensor, based on the measured noise spectrum. © 2015 Published by Elsevier B.V.
PB  - Elsevier
T2  - Microelectronic Engineering
T1  - Adsorption-desorption noise in microfluidic biosensors operating in multianalyte environments
SP  - 32
EP  - 36
VL  - 144
DO  - 10.1016/j.mee.2015.02.032
UR  - https://hdl.handle.net/21.15107/rcub_dais_3519
ER  - 
@article{
author = "Jokić, Ivana and Frantlović, Miloš and Đurić, Zoran G. and Radulović, Katarina and Jokić, Zorana",
year = "2015",
abstract = "We present a theoretical model of adsorption-desorption (AD) noise in microfluidic biosensors operating in multianalyte environments. This noise is caused by the stochastic nature of the processes that generate the sensor response: reversible adsorption of n analytes coupled with mass transfer (convection and diffusion) of analyte particles through the microfluidic channel to and from the surface binding sites. The parameters of the obtained analytical expression for the AD noise power spectral density, determining the shape of the noise spectrum, contain information on the concentrations of all the adsorbing species, their association and dissociation rate constants, mass transfer coefficients and molecular masses. The AD noise spectrum, therefore, offers additional data about multiple analytes, apart from those obtained by the commonly used time domain analysis of sensor response. Therefore the derived model of AD noise contributes to the theoretical basis necessary for the development of new methods for determination of target analyte parameters in complex samples or even for simultaneous detection of multiple analytes using a single sensor, based on the measured noise spectrum. © 2015 Published by Elsevier B.V.",
publisher = "Elsevier",
journal = "Microelectronic Engineering",
title = "Adsorption-desorption noise in microfluidic biosensors operating in multianalyte environments",
pages = "32-36",
volume = "144",
doi = "10.1016/j.mee.2015.02.032",
url = "https://hdl.handle.net/21.15107/rcub_dais_3519"
}
Jokić, I., Frantlović, M., Đurić, Z. G., Radulović, K.,& Jokić, Z. (2015). Adsorption-desorption noise in microfluidic biosensors operating in multianalyte environments.
Microelectronic Engineering
Elsevier., 144, 32-36.
https://doi.org/10.1016/j.mee.2015.02.032
Jokić I, Frantlović M, Đurić ZG, Radulović K, Jokić Z. Adsorption-desorption noise in microfluidic biosensors operating in multianalyte environments. Microelectronic Engineering. 2015;144:32-36.
doi:10.1016/j.mee.2015.02.032.
Jokić Ivana, Frantlović Miloš, Đurić Zoran G., Radulović Katarina, Jokić Zorana, "Adsorption-desorption noise in microfluidic biosensors operating in multianalyte environments" Microelectronic Engineering, 144 (2015):32-36,
https://doi.org/10.1016/j.mee.2015.02.032 .
1
10
5
9

Numerical simulation of transient response of chemical and biological micro/nanofabricated sensors operating in multianalyte environments

Radulović, Katarina; Jokić, Ivana; Frantlović, Miloš; Đurić, Zoran G.

(IEEE, 2014)

TY  - CONF
AU  - Radulović, Katarina
AU  - Jokić, Ivana
AU  - Frantlović, Miloš
AU  - Đurić, Zoran G.
PY  - 2014
AB  - In different kinds of surface-based chemical and biological micro/nanosensors, interpretation of the experimentally obtained data is performed based on approximate solutions for the sensor response, valid for the case of single-analyte samples. A question arises whether or not the approximate models used for experimental data fitting in the case of a single analyte are also applicable for multianalyte environments. We test the validity of the two-compartment model for approximation of sensor transient response in the case of concurrent binding of multiple analytes on the sensing surface, by comparing the approximate response with the numerical simulation of the dynamics of a real adsorption experiment.
PB  - IEEE
C3  - Proceedings of the International Conference on Microelectronics, ICM (2014 29th International Conference on Microelectronics, MIEL 2014)
T1  - Numerical simulation of transient response of chemical and biological micro/nanofabricated sensors operating in multianalyte environments
SP  - 187
EP  - 190
UR  - https://hdl.handle.net/21.15107/rcub_dais_649
ER  - 
@conference{
author = "Radulović, Katarina and Jokić, Ivana and Frantlović, Miloš and Đurić, Zoran G.",
year = "2014",
abstract = "In different kinds of surface-based chemical and biological micro/nanosensors, interpretation of the experimentally obtained data is performed based on approximate solutions for the sensor response, valid for the case of single-analyte samples. A question arises whether or not the approximate models used for experimental data fitting in the case of a single analyte are also applicable for multianalyte environments. We test the validity of the two-compartment model for approximation of sensor transient response in the case of concurrent binding of multiple analytes on the sensing surface, by comparing the approximate response with the numerical simulation of the dynamics of a real adsorption experiment.",
publisher = "IEEE",
journal = "Proceedings of the International Conference on Microelectronics, ICM (2014 29th International Conference on Microelectronics, MIEL 2014)",
title = "Numerical simulation of transient response of chemical and biological micro/nanofabricated sensors operating in multianalyte environments",
pages = "187-190",
url = "https://hdl.handle.net/21.15107/rcub_dais_649"
}
Radulović, K., Jokić, I., Frantlović, M.,& Đurić, Z. G. (2014). Numerical simulation of transient response of chemical and biological micro/nanofabricated sensors operating in multianalyte environments.
Proceedings of the International Conference on Microelectronics, ICM (2014 29th International Conference on Microelectronics, MIEL 2014)
IEEE., 187-190.
Radulović K, Jokić I, Frantlović M, Đurić ZG. Numerical simulation of transient response of chemical and biological micro/nanofabricated sensors operating in multianalyte environments. Proceedings of the International Conference on Microelectronics, ICM (2014 29th International Conference on Microelectronics, MIEL 2014). 2014;:187-190.
Radulović Katarina, Jokić Ivana, Frantlović Miloš, Đurić Zoran G., "Numerical simulation of transient response of chemical and biological micro/nanofabricated sensors operating in multianalyte environments" Proceedings of the International Conference on Microelectronics, ICM (2014 29th International Conference on Microelectronics, MIEL 2014) (2014):187-190

RF MEMS and NEMS components and adsorption-desorption induced phase noise

Jokić, Ivana; Frantlović, Miloš; Đurić, Zoran G.

(IEEE, 2014)

TY  - CONF
AU  - Jokić, Ivana
AU  - Frantlović, Miloš
AU  - Đurić, Zoran G.
PY  - 2014
AB  - Radio frequency micro- and nanoelectro-mechanical systems (RF MEMS and RF NEMS) and technologies have a great potential to overcome the constraints of conventional IC technologies in realization of fully integrated transceivers of next generation wireless communications systems. During the last two decades a considerable effort has been made to develop RF MEMS/NEMS resonators so that they could replace conventional bulky off-chip resonators in wireless transceivers. In MEMS, and especially in NEMS resonators, additional noise generating mechanisms exist that are characteristic for structures of small dimensions and mass, and high surface to volume ratio. One such mechanism is the adsorption-desorption (AD) process that generates the resonator frequency (phase) noise. In the first part of this paper a short overview of RF MEMS resonators is given, including comments on the necessary improvements and the direction of future research in this field (especially having in mind the need for NEMS resonators), with the intention to optimize RF MEMS and NEMS components according to requirements of both current and future systems. The main part of the paper presents a comprehensive theory of AD noise in MEMS/NEMS resonators. Apart from having a theoretical significance, the derived models of AD noise in multiple different cases of adsorption are also a useful tool for the design of optimal performance RF MEMS and NEMS resonators. The model of the MEMS/NEMS oscillator phase noise that takes into account the influence of AD noise is presented for the first time.
PB  - IEEE
C3  - Proceedings of the International Conference on Microelectronics, ICM (2014 29th International Conference on Microelectronics, MIEL 2014)
T1  - RF MEMS and NEMS components and adsorption-desorption induced phase noise
SP  - 117
EP  - 124
DO  - 10.1109/MIEL.2014.6842100
UR  - https://hdl.handle.net/21.15107/rcub_dais_648
ER  - 
@conference{
author = "Jokić, Ivana and Frantlović, Miloš and Đurić, Zoran G.",
year = "2014",
abstract = "Radio frequency micro- and nanoelectro-mechanical systems (RF MEMS and RF NEMS) and technologies have a great potential to overcome the constraints of conventional IC technologies in realization of fully integrated transceivers of next generation wireless communications systems. During the last two decades a considerable effort has been made to develop RF MEMS/NEMS resonators so that they could replace conventional bulky off-chip resonators in wireless transceivers. In MEMS, and especially in NEMS resonators, additional noise generating mechanisms exist that are characteristic for structures of small dimensions and mass, and high surface to volume ratio. One such mechanism is the adsorption-desorption (AD) process that generates the resonator frequency (phase) noise. In the first part of this paper a short overview of RF MEMS resonators is given, including comments on the necessary improvements and the direction of future research in this field (especially having in mind the need for NEMS resonators), with the intention to optimize RF MEMS and NEMS components according to requirements of both current and future systems. The main part of the paper presents a comprehensive theory of AD noise in MEMS/NEMS resonators. Apart from having a theoretical significance, the derived models of AD noise in multiple different cases of adsorption are also a useful tool for the design of optimal performance RF MEMS and NEMS resonators. The model of the MEMS/NEMS oscillator phase noise that takes into account the influence of AD noise is presented for the first time.",
publisher = "IEEE",
journal = "Proceedings of the International Conference on Microelectronics, ICM (2014 29th International Conference on Microelectronics, MIEL 2014)",
title = "RF MEMS and NEMS components and adsorption-desorption induced phase noise",
pages = "117-124",
doi = "10.1109/MIEL.2014.6842100",
url = "https://hdl.handle.net/21.15107/rcub_dais_648"
}
Jokić, I., Frantlović, M.,& Đurić, Z. G. (2014). RF MEMS and NEMS components and adsorption-desorption induced phase noise.
Proceedings of the International Conference on Microelectronics, ICM (2014 29th International Conference on Microelectronics, MIEL 2014)
IEEE., 117-124.
https://doi.org/10.1109/MIEL.2014.6842100
Jokić I, Frantlović M, Đurić ZG. RF MEMS and NEMS components and adsorption-desorption induced phase noise. Proceedings of the International Conference on Microelectronics, ICM (2014 29th International Conference on Microelectronics, MIEL 2014). 2014;:117-124.
doi:10.1109/MIEL.2014.6842100.
Jokić Ivana, Frantlović Miloš, Đurić Zoran G., "RF MEMS and NEMS components and adsorption-desorption induced phase noise" Proceedings of the International Conference on Microelectronics, ICM (2014 29th International Conference on Microelectronics, MIEL 2014) (2014):117-124,
https://doi.org/10.1109/MIEL.2014.6842100 .
1
1

Analysis of the competitive adsorption and mass transfer influence on equilibrium mass fluctuations in affinity-based biosensors

Frantlović, Miloš; Jokić, Ivana; Đurić, Zoran G.; Radulović, Katarina

(Elsevier, 2013)

TY  - JOUR
AU  - Frantlović, Miloš
AU  - Jokić, Ivana
AU  - Đurić, Zoran G.
AU  - Radulović, Katarina
PY  - 2013
AB  - We analyze the fluctuations of the equilibrium adsorbed mass in affinity-based biosensors, considering adsorption–desorption and mass transfer processes of two molecular species which compete for binding to the same probe molecules immobilized on the sensing surface. The analytical expression for the fluctuations spectral density is derived. The calculations show the significant influence of both the competitive adsorption and the mass transfer on the fluctuations spectrum, and also of their combined effect. The dependences of the fluctuations on association and dissociation rate constants of both adsorbing species, their concentrations, molecular masses and mass transfer coefficients and also on the density of capturing probes can be examined by using the presented model. The model is applicable for biosensors in which the spatial distribution of adsorbates concentrations in the reaction chamber can be approximated using the two-compartment model. The theory provides a more realistic estimation of the biosensors’ limiting performance, and is useful for their improvement.
PB  - Elsevier
T2  - Sensors and Actuators B: Chemical
T1  - Analysis of the competitive adsorption and mass transfer influence on equilibrium mass fluctuations in affinity-based biosensors
SP  - 71
EP  - 79
VL  - 189
DO  - 10.1016/j.snb.2012.12.080
UR  - https://hdl.handle.net/21.15107/rcub_dais_350
ER  - 
@article{
author = "Frantlović, Miloš and Jokić, Ivana and Đurić, Zoran G. and Radulović, Katarina",
year = "2013",
abstract = "We analyze the fluctuations of the equilibrium adsorbed mass in affinity-based biosensors, considering adsorption–desorption and mass transfer processes of two molecular species which compete for binding to the same probe molecules immobilized on the sensing surface. The analytical expression for the fluctuations spectral density is derived. The calculations show the significant influence of both the competitive adsorption and the mass transfer on the fluctuations spectrum, and also of their combined effect. The dependences of the fluctuations on association and dissociation rate constants of both adsorbing species, their concentrations, molecular masses and mass transfer coefficients and also on the density of capturing probes can be examined by using the presented model. The model is applicable for biosensors in which the spatial distribution of adsorbates concentrations in the reaction chamber can be approximated using the two-compartment model. The theory provides a more realistic estimation of the biosensors’ limiting performance, and is useful for their improvement.",
publisher = "Elsevier",
journal = "Sensors and Actuators B: Chemical",
title = "Analysis of the competitive adsorption and mass transfer influence on equilibrium mass fluctuations in affinity-based biosensors",
pages = "71-79",
volume = "189",
doi = "10.1016/j.snb.2012.12.080",
url = "https://hdl.handle.net/21.15107/rcub_dais_350"
}
Frantlović, M., Jokić, I., Đurić, Z. G.,& Radulović, K. (2013). Analysis of the competitive adsorption and mass transfer influence on equilibrium mass fluctuations in affinity-based biosensors.
Sensors and Actuators B: Chemical
Elsevier., 189, 71-79.
https://doi.org/10.1016/j.snb.2012.12.080
Frantlović M, Jokić I, Đurić ZG, Radulović K. Analysis of the competitive adsorption and mass transfer influence on equilibrium mass fluctuations in affinity-based biosensors. Sensors and Actuators B: Chemical. 2013;189:71-79.
doi:10.1016/j.snb.2012.12.080.
Frantlović Miloš, Jokić Ivana, Đurić Zoran G., Radulović Katarina, "Analysis of the competitive adsorption and mass transfer influence on equilibrium mass fluctuations in affinity-based biosensors" Sensors and Actuators B: Chemical, 189 (2013):71-79,
https://doi.org/10.1016/j.snb.2012.12.080 .
8
8
9

Characterization of adsorption-desorption processes on semiconductor surfaces using nanocantilever mass sensors

Đurić, Zoran G.; Radulović, Katarina; Jokić, Ivana; Frantlović, Miloš

(IEEE, 2012)

TY  - CONF
AU  - Đurić, Zoran G.
AU  - Radulović, Katarina
AU  - Jokić, Ivana
AU  - Frantlović, Miloš
PY  - 2012
AB  - Characterization of adsorption-desorption (AD) processes of gas particles on semiconductors is necessary in order to investigate the influence of these processes on the micro/nano-devices performance. By applying a numerical computational method we determined the pressure dependence of the equilibrium coverage of the semiconductor surface by chemisorbed gas particles. We concluded that the pressure dependence of the total coverage of the surface by adparticles, and also of coverages by both the neutral and ionized adparticles, can be obtained by measuring the adsorbed mass. We propose the use of nanocantilever sensors for such extremely sensitive mass measurements. The obtained adsorption induced cantilever's resonant frequency shifts are higher than the detection threshold set by the termomechanical noise. This confirms the applicability of the used nanocantilever sensor for experimental characterization of AD processes at semiconductor surfaces.
PB  - IEEE
C3  - 2012 28th International Conference on Microelectronics (MIEL)
T1  - Characterization of adsorption-desorption processes on semiconductor surfaces using nanocantilever mass sensors
SP  - 161
EP  - 164
DO  - 10.1109/MIEL.2012.6222823
UR  - https://hdl.handle.net/21.15107/rcub_dais_449
ER  - 
@conference{
author = "Đurić, Zoran G. and Radulović, Katarina and Jokić, Ivana and Frantlović, Miloš",
year = "2012",
abstract = "Characterization of adsorption-desorption (AD) processes of gas particles on semiconductors is necessary in order to investigate the influence of these processes on the micro/nano-devices performance. By applying a numerical computational method we determined the pressure dependence of the equilibrium coverage of the semiconductor surface by chemisorbed gas particles. We concluded that the pressure dependence of the total coverage of the surface by adparticles, and also of coverages by both the neutral and ionized adparticles, can be obtained by measuring the adsorbed mass. We propose the use of nanocantilever sensors for such extremely sensitive mass measurements. The obtained adsorption induced cantilever's resonant frequency shifts are higher than the detection threshold set by the termomechanical noise. This confirms the applicability of the used nanocantilever sensor for experimental characterization of AD processes at semiconductor surfaces.",
publisher = "IEEE",
journal = "2012 28th International Conference on Microelectronics (MIEL)",
title = "Characterization of adsorption-desorption processes on semiconductor surfaces using nanocantilever mass sensors",
pages = "161-164",
doi = "10.1109/MIEL.2012.6222823",
url = "https://hdl.handle.net/21.15107/rcub_dais_449"
}
Đurić, Z. G., Radulović, K., Jokić, I.,& Frantlović, M. (2012). Characterization of adsorption-desorption processes on semiconductor surfaces using nanocantilever mass sensors.
2012 28th International Conference on Microelectronics (MIEL)
IEEE., 161-164.
https://doi.org/10.1109/MIEL.2012.6222823
Đurić ZG, Radulović K, Jokić I, Frantlović M. Characterization of adsorption-desorption processes on semiconductor surfaces using nanocantilever mass sensors. 2012 28th International Conference on Microelectronics (MIEL). 2012;:161-164.
doi:10.1109/MIEL.2012.6222823.
Đurić Zoran G., Radulović Katarina, Jokić Ivana, Frantlović Miloš, "Characterization of adsorption-desorption processes on semiconductor surfaces using nanocantilever mass sensors" 2012 28th International Conference on Microelectronics (MIEL) (2012):161-164,
https://doi.org/10.1109/MIEL.2012.6222823 .

Analysis of the Influence of Competitive Adsorption and Mass Transfer on Adsorbed Mass Fluctuations in Affinity-Based Biosensors

Frantlović, Miloš; Jokić, Ivana; Đurić, Zoran G.; Radulović, Katarina

(Elsevier, 2012)

TY  - CONF
AU  - Frantlović, Miloš
AU  - Jokić, Ivana
AU  - Đurić, Zoran G.
AU  - Radulović, Katarina
PY  - 2012
AB  - We analyze the fluctuations of the equilibrium adsorbed mass in affinity-based biosensors, caused by both the random nature of adsorption-desorption and mass transfer processes of two molecular species (the target and the competitor molecules) which bind to the probe molecules. The analytical expression for the fluctuations spectral density is derived. The calculations show the significant influence of both the competitive adsorption and the mass transfer on the fluctuations spectrum. The theory provides a more realistic estimation of limiting performance of biosensors, and is useful for their improvement.
PB  - Elsevier
C3  - Procedia Engineering
T1  - Analysis of the Influence of Competitive Adsorption and Mass Transfer on Adsorbed Mass Fluctuations in Affinity-Based Biosensors
SP  - 957
EP  - 960
VL  - 47
DO  - 10.1016/j.proeng.2012.09.305
UR  - https://hdl.handle.net/21.15107/rcub_dais_4839
ER  - 
@conference{
author = "Frantlović, Miloš and Jokić, Ivana and Đurić, Zoran G. and Radulović, Katarina",
year = "2012",
abstract = "We analyze the fluctuations of the equilibrium adsorbed mass in affinity-based biosensors, caused by both the random nature of adsorption-desorption and mass transfer processes of two molecular species (the target and the competitor molecules) which bind to the probe molecules. The analytical expression for the fluctuations spectral density is derived. The calculations show the significant influence of both the competitive adsorption and the mass transfer on the fluctuations spectrum. The theory provides a more realistic estimation of limiting performance of biosensors, and is useful for their improvement.",
publisher = "Elsevier",
journal = "Procedia Engineering",
title = "Analysis of the Influence of Competitive Adsorption and Mass Transfer on Adsorbed Mass Fluctuations in Affinity-Based Biosensors",
pages = "957-960",
volume = "47",
doi = "10.1016/j.proeng.2012.09.305",
url = "https://hdl.handle.net/21.15107/rcub_dais_4839"
}
Frantlović, M., Jokić, I., Đurić, Z. G.,& Radulović, K. (2012). Analysis of the Influence of Competitive Adsorption and Mass Transfer on Adsorbed Mass Fluctuations in Affinity-Based Biosensors.
Procedia Engineering
Elsevier., 47, 957-960.
https://doi.org/10.1016/j.proeng.2012.09.305
Frantlović M, Jokić I, Đurić ZG, Radulović K. Analysis of the Influence of Competitive Adsorption and Mass Transfer on Adsorbed Mass Fluctuations in Affinity-Based Biosensors. Procedia Engineering. 2012;47:957-960.
doi:10.1016/j.proeng.2012.09.305.
Frantlović Miloš, Jokić Ivana, Đurić Zoran G., Radulović Katarina, "Analysis of the Influence of Competitive Adsorption and Mass Transfer on Adsorbed Mass Fluctuations in Affinity-Based Biosensors" Procedia Engineering, 47 (2012):957-960,
https://doi.org/10.1016/j.proeng.2012.09.305 .
1

Intrinsic noise equivalent concentration of dynamic mode microcantilever biosensors

Đurić, Zoran G.; Jokić, Ivana; Frantlović, Miloš; Radulović, Katarina

(2012)

TY  - CONF
AU  - Đurić, Zoran G.
AU  - Jokić, Ivana
AU  - Frantlović, Miloš
AU  - Radulović, Katarina
PY  - 2012
AB  - The presented theory enables systematic investigation of the dependence of the minimal detectable concentration of the target analyte, determined by the cantilever intrinsic noise, on various parameters. Inclusion of the influence of effects such as the mass transfer in noise considerations results in a more accurate noise model, which is necessary when methods based on noise measurements are developed.

Poster presented at the 38th International Conference on Micro and Nano Engineering MNE, 16-20 September 2012, Toulouse, France
T1  - Intrinsic noise equivalent concentration of dynamic mode microcantilever biosensors
UR  - https://hdl.handle.net/21.15107/rcub_dais_553
ER  - 
@conference{
author = "Đurić, Zoran G. and Jokić, Ivana and Frantlović, Miloš and Radulović, Katarina",
year = "2012",
abstract = "The presented theory enables systematic investigation of the dependence of the minimal detectable concentration of the target analyte, determined by the cantilever intrinsic noise, on various parameters. Inclusion of the influence of effects such as the mass transfer in noise considerations results in a more accurate noise model, which is necessary when methods based on noise measurements are developed.

Poster presented at the 38th International Conference on Micro and Nano Engineering MNE, 16-20 September 2012, Toulouse, France",
title = "Intrinsic noise equivalent concentration of dynamic mode microcantilever biosensors",
url = "https://hdl.handle.net/21.15107/rcub_dais_553"
}
Đurić, Z. G., Jokić, I., Frantlović, M.,& Radulović, K. (2012). Intrinsic noise equivalent concentration of dynamic mode microcantilever biosensors.
.
Đurić ZG, Jokić I, Frantlović M, Radulović K. Intrinsic noise equivalent concentration of dynamic mode microcantilever biosensors. 2012;.
Đurić Zoran G., Jokić Ivana, Frantlović Miloš, Radulović Katarina, "Intrinsic noise equivalent concentration of dynamic mode microcantilever biosensors" (2012)

Adsorption–desorption noise in nanowire FET biosensors

Radulović, Katarina; Jokić, Ivana; Frantlović, Miloš; Đurić, Zoran G.

(IEEE, 2012)

TY  - CONF
AU  - Radulović, Katarina
AU  - Jokić, Ivana
AU  - Frantlović, Miloš
AU  - Đurić, Zoran G.
PY  - 2012
AB  - The adsorption-desorption (AD) noise in nanowire FET biosensors is analyzed, which manifests itself in the form of gate voltage fluctuations resulting from the fluctuations of the number of adsorbed particles. The derived theoretical model of the fluctuations takes into account the mass transfer effects. The numerical calculations show that when the mass transfer is slow, the low-frequency amplitude and the corner frequency of the Lorentzian AD noise spectrum obtained by derived expressions are significantly different compared to the same parameters predicted by the model that neglects mass transport effects. The presented analysis enables good estimation of these parameters from the measured noise spectrum, which is important because they are used as the source of information about the analyte concentration and the kinetics of biomolecular interactions.
PB  - IEEE
C3  - 2012 28th International Conference on Microelectronics (MIEL)
T1  - Adsorption–desorption noise in nanowire FET biosensors
SP  - 203
EP  - 206
DO  - 10.1109/MIEL.2012.6222834
UR  - https://hdl.handle.net/21.15107/rcub_dais_450
ER  - 
@conference{
author = "Radulović, Katarina and Jokić, Ivana and Frantlović, Miloš and Đurić, Zoran G.",
year = "2012",
abstract = "The adsorption-desorption (AD) noise in nanowire FET biosensors is analyzed, which manifests itself in the form of gate voltage fluctuations resulting from the fluctuations of the number of adsorbed particles. The derived theoretical model of the fluctuations takes into account the mass transfer effects. The numerical calculations show that when the mass transfer is slow, the low-frequency amplitude and the corner frequency of the Lorentzian AD noise spectrum obtained by derived expressions are significantly different compared to the same parameters predicted by the model that neglects mass transport effects. The presented analysis enables good estimation of these parameters from the measured noise spectrum, which is important because they are used as the source of information about the analyte concentration and the kinetics of biomolecular interactions.",
publisher = "IEEE",
journal = "2012 28th International Conference on Microelectronics (MIEL)",
title = "Adsorption–desorption noise in nanowire FET biosensors",
pages = "203-206",
doi = "10.1109/MIEL.2012.6222834",
url = "https://hdl.handle.net/21.15107/rcub_dais_450"
}
Radulović, K., Jokić, I., Frantlović, M.,& Đurić, Z. G. (2012). Adsorption–desorption noise in nanowire FET biosensors.
2012 28th International Conference on Microelectronics (MIEL)
IEEE., 203-206.
https://doi.org/10.1109/MIEL.2012.6222834
Radulović K, Jokić I, Frantlović M, Đurić ZG. Adsorption–desorption noise in nanowire FET biosensors. 2012 28th International Conference on Microelectronics (MIEL). 2012;:203-206.
doi:10.1109/MIEL.2012.6222834.
Radulović Katarina, Jokić Ivana, Frantlović Miloš, Đurić Zoran G., "Adsorption–desorption noise in nanowire FET biosensors" 2012 28th International Conference on Microelectronics (MIEL) (2012):203-206,
https://doi.org/10.1109/MIEL.2012.6222834 .
3
3

Fluctuations of the number of adsorbed molecules in biosensors due to stochastic adsorption–desorption processes coupled with mass transfer

Jokić, Ivana; Đurić, Zoran G.; Frantlović, Miloš; Radulović, Katarina; Krstajić, Predrag; Jokić, Zorana

(Elsevier, 2012)

TY  - JOUR
AU  - Jokić, Ivana
AU  - Đurić, Zoran G.
AU  - Frantlović, Miloš
AU  - Radulović, Katarina
AU  - Krstajić, Predrag
AU  - Jokić, Zorana
PY  - 2012
AB  - We derived a simple theory of fluctuations of the equilibrium number of adsorbed molecules in biosensors, caused by the stochastic nature of adsorption–desorption (AD) processes coupled with mass transfer. The two-compartment model is used for approximation of the spatial dependence of analyte concentration in the reaction chamber, which is justified when a thin layer depleted of the analyte exists close to the surface on which the binding reaction occurs. By using the obtained analytical expression for the power spectral density of fluctuations we perform for the first time the quantitative analysis of the influence of the mass transfer on the fluctuations spectrum. For realistic parameter values, the influence of mass transfer proved to be significant, causing the increase in the fluctuations level of up to two orders of magnitude compared to the rapid mixing case. The dependences of the mass transfer influenced fluctuations spectrum on various parameters of the analyte–receptor binding process are also systematically investigated. The presented theoretical model of fluctuations enables good estimation of the AD noise, which affects the total noise and the minimal detectable signal of biosensors. It provides the guidelines for improvement of the limits of detection, and for optimization of detection methods. The theory is also proposed as a basis for development of highly sensitive methods for analyte detection and characterization of biomolecular binding processes, based on the measured fluctuations spectrum. It is applicable for various types of sensors whose operation principle relies on the adsorption process of analyte molecules.
PB  - Elsevier
T2  - Sensors and Actuators B: Chemical
T1  - Fluctuations of the number of adsorbed molecules in biosensors due to stochastic adsorption–desorption processes coupled with mass transfer
SP  - 535
EP  - 543
DO  - 10.1016/j.snb.2012.03.004
UR  - https://hdl.handle.net/21.15107/rcub_dais_470
ER  - 
@article{
author = "Jokić, Ivana and Đurić, Zoran G. and Frantlović, Miloš and Radulović, Katarina and Krstajić, Predrag and Jokić, Zorana",
year = "2012",
abstract = "We derived a simple theory of fluctuations of the equilibrium number of adsorbed molecules in biosensors, caused by the stochastic nature of adsorption–desorption (AD) processes coupled with mass transfer. The two-compartment model is used for approximation of the spatial dependence of analyte concentration in the reaction chamber, which is justified when a thin layer depleted of the analyte exists close to the surface on which the binding reaction occurs. By using the obtained analytical expression for the power spectral density of fluctuations we perform for the first time the quantitative analysis of the influence of the mass transfer on the fluctuations spectrum. For realistic parameter values, the influence of mass transfer proved to be significant, causing the increase in the fluctuations level of up to two orders of magnitude compared to the rapid mixing case. The dependences of the mass transfer influenced fluctuations spectrum on various parameters of the analyte–receptor binding process are also systematically investigated. The presented theoretical model of fluctuations enables good estimation of the AD noise, which affects the total noise and the minimal detectable signal of biosensors. It provides the guidelines for improvement of the limits of detection, and for optimization of detection methods. The theory is also proposed as a basis for development of highly sensitive methods for analyte detection and characterization of biomolecular binding processes, based on the measured fluctuations spectrum. It is applicable for various types of sensors whose operation principle relies on the adsorption process of analyte molecules.",
publisher = "Elsevier",
journal = "Sensors and Actuators B: Chemical",
title = "Fluctuations of the number of adsorbed molecules in biosensors due to stochastic adsorption–desorption processes coupled with mass transfer",
pages = "535-543",
doi = "10.1016/j.snb.2012.03.004",
url = "https://hdl.handle.net/21.15107/rcub_dais_470"
}
Jokić, I., Đurić, Z. G., Frantlović, M., Radulović, K., Krstajić, P.,& Jokić, Z. (2012). Fluctuations of the number of adsorbed molecules in biosensors due to stochastic adsorption–desorption processes coupled with mass transfer.
Sensors and Actuators B: Chemical
Elsevier., 535-543.
https://doi.org/10.1016/j.snb.2012.03.004
Jokić I, Đurić ZG, Frantlović M, Radulović K, Krstajić P, Jokić Z. Fluctuations of the number of adsorbed molecules in biosensors due to stochastic adsorption–desorption processes coupled with mass transfer. Sensors and Actuators B: Chemical. 2012;:535-543.
doi:10.1016/j.snb.2012.03.004.
Jokić Ivana, Đurić Zoran G., Frantlović Miloš, Radulović Katarina, Krstajić Predrag, Jokić Zorana, "Fluctuations of the number of adsorbed molecules in biosensors due to stochastic adsorption–desorption processes coupled with mass transfer" Sensors and Actuators B: Chemical (2012):535-543,
https://doi.org/10.1016/j.snb.2012.03.004 .
17
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