Đurić, Zoran G.

Link to this page

Authority KeyName Variants
orcid::0000-0002-2014-6854
  • Đurić, Zoran G. (30)
  • Đurić, Zoran (2)
Projects

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

Ideal efficiency of resonant cavity-enhanced perovskite solar cells

Đurić, Zoran; Jokić, Ivana

(Springer Science and Business Media LLC, 2020)

TY  - JOUR
AU  - Đurić, Zoran
AU  - Jokić, Ivana
PY  - 2020
UR  - http://dais.sanu.ac.rs/123456789/8975
AB  - Perovskite solar cells (PSCs) have attracted significant attention in recent years due to the rapid increase in device efficiency (reaching over 25% in 2019), ease of fabrication, and the potential to produce low-cost photovoltaic modules. In this paper we have determined the ideal power conversion efficiency and quantum efficiency of PSCs with the p–i–n device structure, where p is the hole transport layer, i is the perovskite absorber layer, and n is the electron transport layer. The absorption of incident light occurs in a thin perovskite layer, the thickness of which is comparable to the wavelength of absorbed light. We take into account interference effects when the PSC structure is represented by a Fabry–Perot resonator. The optical flux within the absorbing layer is calculated as a function of the spatial coordinate (in the direction of the layer thickness), for a certain wavelength, at the normal incident light. The power quantum efficiency is calculated assuming that the incident light source is a blackbody at the temperature of the Sun, as well as for the AM1.5g standard solar spectrum. The results obtained by using the derived expressions that take into account the interference effects are compared with those obtained by neglecting these effects.
PB  - Springer Science and Business Media LLC
T2  - Optical and Quantum Electronics
T1  - Ideal efficiency of resonant cavity-enhanced perovskite solar cells
VL  - 52
IS  - 5
DO  - 10.1007/s11082-020-02342-4
ER  - 
@article{
author = "Đurić, Zoran and Jokić, Ivana",
year = "2020",
url = "http://dais.sanu.ac.rs/123456789/8975",
abstract = "Perovskite solar cells (PSCs) have attracted significant attention in recent years due to the rapid increase in device efficiency (reaching over 25% in 2019), ease of fabrication, and the potential to produce low-cost photovoltaic modules. In this paper we have determined the ideal power conversion efficiency and quantum efficiency of PSCs with the p–i–n device structure, where p is the hole transport layer, i is the perovskite absorber layer, and n is the electron transport layer. The absorption of incident light occurs in a thin perovskite layer, the thickness of which is comparable to the wavelength of absorbed light. We take into account interference effects when the PSC structure is represented by a Fabry–Perot resonator. The optical flux within the absorbing layer is calculated as a function of the spatial coordinate (in the direction of the layer thickness), for a certain wavelength, at the normal incident light. The power quantum efficiency is calculated assuming that the incident light source is a blackbody at the temperature of the Sun, as well as for the AM1.5g standard solar spectrum. The results obtained by using the derived expressions that take into account the interference effects are compared with those obtained by neglecting these effects.",
publisher = "Springer Science and Business Media LLC",
journal = "Optical and Quantum Electronics",
title = "Ideal efficiency of resonant cavity-enhanced perovskite solar cells",
volume = "52",
number = "5",
doi = "10.1007/s11082-020-02342-4"
}
Đurić, Z.,& Jokić, I. (2020). Ideal efficiency of resonant cavity-enhanced perovskite solar cells.
Optical and Quantum Electronics
Springer Science and Business Media LLC., 52(5).
https://doi.org/10.1007/s11082-020-02342-4
Đurić Z, Jokić I. Ideal efficiency of resonant cavity-enhanced perovskite solar cells. Optical and Quantum Electronics. 2020;52(5)
Đurić Zoran, Jokić Ivana, "Ideal efficiency of resonant cavity-enhanced perovskite solar cells" Optical and Quantum Electronics, 52, no. 5 (2020),
https://doi.org/10.1007/s11082-020-02342-4 .

Ideal efficiency of resonant cavity-enhanced perovskite solar cells

Đurić, Zoran; Jokić, Ivana

(Springer Science and Business Media LLC, 2020)

TY  - JOUR
AU  - Đurić, Zoran
AU  - Jokić, Ivana
PY  - 2020
UR  - http://dais.sanu.ac.rs/123456789/8727
AB  - Perovskite solar cells (PSCs) have attracted significant attention in recent years due to the rapid increase in device efficiency (reaching over 25% in 2019), ease of fabrication, and the potential to produce low-cost photovoltaic modules. In this paper we have determined the ideal power conversion efficiency and quantum efficiency of PSCs with the p–i–n device structure, where p is the hole transport layer, i is the perovskite absorber layer, and n is the electron transport layer. The absorption of incident light occurs in a thin perovskite layer, the thickness of which is comparable to the wavelength of absorbed light. We take into account interference effects when the PSC structure is represented by a Fabry–Perot resonator. The optical flux within the absorbing layer is calculated as a function of the spatial coordinate (in the direction of the layer thickness), for a certain wavelength, at the normal incident light. The power quantum efficiency is calculated assuming that the incident light source is a blackbody at the temperature of the Sun, as well as for the AM1.5g standard solar spectrum. The results obtained by using the derived expressions that take into account the interference effects are compared with those obtained by neglecting these effects.
PB  - Springer Science and Business Media LLC
T2  - Optical and Quantum Electronics
T1  - Ideal efficiency of resonant cavity-enhanced perovskite solar cells
VL  - 52
IS  - 5
DO  - 10.1007/s11082-020-02342-4
ER  - 
@article{
author = "Đurić, Zoran and Jokić, Ivana",
year = "2020",
url = "http://dais.sanu.ac.rs/123456789/8727",
abstract = "Perovskite solar cells (PSCs) have attracted significant attention in recent years due to the rapid increase in device efficiency (reaching over 25% in 2019), ease of fabrication, and the potential to produce low-cost photovoltaic modules. In this paper we have determined the ideal power conversion efficiency and quantum efficiency of PSCs with the p–i–n device structure, where p is the hole transport layer, i is the perovskite absorber layer, and n is the electron transport layer. The absorption of incident light occurs in a thin perovskite layer, the thickness of which is comparable to the wavelength of absorbed light. We take into account interference effects when the PSC structure is represented by a Fabry–Perot resonator. The optical flux within the absorbing layer is calculated as a function of the spatial coordinate (in the direction of the layer thickness), for a certain wavelength, at the normal incident light. The power quantum efficiency is calculated assuming that the incident light source is a blackbody at the temperature of the Sun, as well as for the AM1.5g standard solar spectrum. The results obtained by using the derived expressions that take into account the interference effects are compared with those obtained by neglecting these effects.",
publisher = "Springer Science and Business Media LLC",
journal = "Optical and Quantum Electronics",
title = "Ideal efficiency of resonant cavity-enhanced perovskite solar cells",
volume = "52",
number = "5",
doi = "10.1007/s11082-020-02342-4"
}
Đurić, Z.,& Jokić, I. (2020). Ideal efficiency of resonant cavity-enhanced perovskite solar cells.
Optical and Quantum Electronics
Springer Science and Business Media LLC., 52(5).
https://doi.org/10.1007/s11082-020-02342-4
Đurić Z, Jokić I. Ideal efficiency of resonant cavity-enhanced perovskite solar cells. Optical and Quantum Electronics. 2020;52(5)
Đurić Zoran, Jokić Ivana, "Ideal efficiency of resonant cavity-enhanced perovskite solar cells" Optical and Quantum Electronics, 52, no. 5 (2020),
https://doi.org/10.1007/s11082-020-02342-4 .

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
UR  - http://dais.sanu.ac.rs/123456789/6918
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
ER  - 
@conference{
author = "Jokić, Ivana and Đurić, Zoran G. and Radulović, Katarina and Frantlović, Miloš and Krstajić, Predrag",
year = "2019",
url = "http://dais.sanu.ac.rs/123456789/6918",
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"
}
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
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
UR  - http://dais.sanu.ac.rs/123456789/6909
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
ER  - 
@conference{
author = "Jokić, Ivana and Đurić, Zoran G. and Radulović, Katarina and Frantlović, Miloš and Krstajić, Predrag",
year = "2019",
url = "http://dais.sanu.ac.rs/123456789/6909",
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"
}
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
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
UR  - http://dais.sanu.ac.rs/123456789/6961
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
ER  - 
@conference{
author = "Jokić, Ivana and Radulović, Katarina and Frantlović, Miloš and Đurić, Zoran G. and Cvetanović Zobenica, Katarina and Krstajić, Predrag",
year = "2019",
url = "http://dais.sanu.ac.rs/123456789/6961",
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"
}
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
UR  - https://www.mdpi.com/2504-3900/2/13/991
UR  - http://dais.sanu.ac.rs/123456789/4715
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
ER  - 
@conference{
author = "Jokić, Ivana and Đurić, Zoran G. and Radulović, Katarina and Frantlović, Miloš",
year = "2018",
url = "https://www.mdpi.com/2504-3900/2/13/991, http://dais.sanu.ac.rs/123456789/4715",
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"
}
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
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
UR  - https://www.etran.rs/2018/IcETRAN/News/IcETRAN%20sumarni%20program%20sekcija_Ver.%204.3%20(1).pdf
UR  - http://dais.sanu.ac.rs/123456789/4630
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
ER  - 
@conference{
author = "Jokić, Ivana and Đurić, Zoran G. and Radulović, Katarina and Frantlović, Miloš and Krstajić, Predrag and Cvetanović Zobenica, Katarina",
year = "2018",
url = "https://www.etran.rs/2018/IcETRAN/News/IcETRAN%20sumarni%20program%20sekcija_Ver.%204.3%20(1).pdf, http://dais.sanu.ac.rs/123456789/4630",
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"
}
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
UR  - http://www.sciencedirect.com/science/article/pii/S2214785318309167
UR  - http://dais.sanu.ac.rs/123456789/4550
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
ER  - 
@article{
author = "Jokić, Ivana and Đurić, Zoran G. and Radulović, Katarina and Frantlović, Miloš",
year = "2018",
url = "http://www.sciencedirect.com/science/article/pii/S2214785318309167, http://dais.sanu.ac.rs/123456789/4550",
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"
}
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
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
UR  - http://dais.sanu.ac.rs/123456789/3684
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
ER  - 
@conference{
author = "Jokić, Ivana and Đurić, Zoran G. and Radulović, Katarina and Frantlović, Miloš",
year = "2017",
url = "http://dais.sanu.ac.rs/123456789/3684",
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"
}
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
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
UR  - http://dais.sanu.ac.rs/123456789/3538
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
ER  - 
@article{
author = "Jokić, Ivana and Đurić, Zoran G. and Radulović, Katarina and Frantlović, Miloš",
year = "2015",
url = "http://dais.sanu.ac.rs/123456789/3538",
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"
}
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
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
UR  - http://dais.sanu.ac.rs/123456789/3519
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
ER  - 
@article{
author = "Jokić, Ivana and Frantlović, Miloš and Đurić, Zoran G. and Radulović, Katarina and Jokić, Zorana",
year = "2015",
url = "http://dais.sanu.ac.rs/123456789/3519",
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"
}
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
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
9
5
8

Analysis of the low-frequency noise spectrum in graphene-based biochemical sensors and its application in analyte recognition and quantification

Peleš, Adriana; Đurić, Zoran G.; Jokić, Ivana

(Belgrade : Institute of Technical Sciences of SASA, 2015)

TY  - CONF
AU  - Peleš, Adriana
AU  - Đurić, Zoran G.
AU  - Jokić, Ivana
PY  - 2015
UR  - http://dais.sanu.ac.rs/123456789/839
AB  - In this study, we use the theoretical model of low-frequency noise in an adsorption-based sensor to analyze the possibility for the recognition and quantification of the analyte based on the measured fluctuations spectrum. We have developed an analytical expression for the spectral density of the fluctuations of the number of analyte particles adsorbed onto the sensing surface which takes into account the processes of mass transfer through the sensor reaction chamber, adsorption and desorption, and surface diffusion of adsorbed particles [1,2]. The numerical calculations performed using the derived theory are in agreement with the experimental data from the literature obtained for graphene-based gas sensors [3,4]. While analyzing the dependence of specific features in the fluctuation spectra of various parameters, we investigate which type of information about the analyte and its interaction with the graphene surface can be obtained from the experimentally obtained noise spectrum. 

References:
1. Djurić, Z., Jokić, I., Peleš, A., Microel. Eng. 124, 81-85 (2014).
2. Djurić, Z., Jokić, I., Peleš, A., “Highly sensitive graphene-based chemical and biological sensors with selectivity achievable through low-frequency noise measurement – Theoretical considerations“, in Proceedings - MIEL 2014, 29th Int. Conference on Microelectronics, IEEE, 2014, pp. 153-156.
3. Rumyantsev, S., Liu, G., Shur, M.S., Potyrailo, R.A., and Balandin, A.A., NanoLetters 12, 2294-2295 (2012).
4. Rumyantsev, S., Liu, G., Potyrailo, R.A., Balandin, A.A., and Shur, M.S., IEEE Sensors Journal 13, 2818-2822 (2013).
PB  - Belgrade : Institute of Technical Sciences of SASA
C3  - Program and the Book of Abstracts / Fourteenth Young Researchers' Conference Materials Sciences and Engineering, December 9-11, 2015, Belgrade, Serbia
T1  - Analysis of the low-frequency noise spectrum in graphene-based biochemical sensors and its application in analyte recognition and quantification
SP  - 26
EP  - 26
ER  - 
@conference{
author = "Peleš, Adriana and Đurić, Zoran G. and Jokić, Ivana",
year = "2015",
url = "http://dais.sanu.ac.rs/123456789/839",
abstract = "In this study, we use the theoretical model of low-frequency noise in an adsorption-based sensor to analyze the possibility for the recognition and quantification of the analyte based on the measured fluctuations spectrum. We have developed an analytical expression for the spectral density of the fluctuations of the number of analyte particles adsorbed onto the sensing surface which takes into account the processes of mass transfer through the sensor reaction chamber, adsorption and desorption, and surface diffusion of adsorbed particles [1,2]. The numerical calculations performed using the derived theory are in agreement with the experimental data from the literature obtained for graphene-based gas sensors [3,4]. While analyzing the dependence of specific features in the fluctuation spectra of various parameters, we investigate which type of information about the analyte and its interaction with the graphene surface can be obtained from the experimentally obtained noise spectrum. 

References:
1. Djurić, Z., Jokić, I., Peleš, A., Microel. Eng. 124, 81-85 (2014).
2. Djurić, Z., Jokić, I., Peleš, A., “Highly sensitive graphene-based chemical and biological sensors with selectivity achievable through low-frequency noise measurement – Theoretical considerations“, in Proceedings - MIEL 2014, 29th Int. Conference on Microelectronics, IEEE, 2014, pp. 153-156.
3. Rumyantsev, S., Liu, G., Shur, M.S., Potyrailo, R.A., and Balandin, A.A., NanoLetters 12, 2294-2295 (2012).
4. Rumyantsev, S., Liu, G., Potyrailo, R.A., Balandin, A.A., and Shur, M.S., IEEE Sensors Journal 13, 2818-2822 (2013).",
publisher = "Belgrade : Institute of Technical Sciences of SASA",
journal = "Program and the Book of Abstracts / Fourteenth Young Researchers' Conference Materials Sciences and Engineering, December 9-11, 2015, Belgrade, Serbia",
title = "Analysis of the low-frequency noise spectrum in graphene-based biochemical sensors and its application in analyte recognition and quantification",
pages = "26-26"
}
Peleš, A., Đurić, Z. G.,& Jokić, I. (2015). Analysis of the low-frequency noise spectrum in graphene-based biochemical sensors and its application in analyte recognition and quantification.
Program and the Book of Abstracts / Fourteenth Young Researchers' Conference Materials Sciences and Engineering, December 9-11, 2015, Belgrade, Serbia
Belgrade : Institute of Technical Sciences of SASA., 26-26.
Peleš A, Đurić ZG, Jokić I. Analysis of the low-frequency noise spectrum in graphene-based biochemical sensors and its application in analyte recognition and quantification. Program and the Book of Abstracts / Fourteenth Young Researchers' Conference Materials Sciences and Engineering, December 9-11, 2015, Belgrade, Serbia. 2015;:26-26
Peleš Adriana, Đurić Zoran G., Jokić Ivana, "Analysis of the low-frequency noise spectrum in graphene-based biochemical sensors and its application in analyte recognition and quantification" Program and the Book of Abstracts / Fourteenth Young Researchers' Conference Materials Sciences and Engineering, December 9-11, 2015, Belgrade, Serbia (2015):26-26

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
UR  - http://dais.sanu.ac.rs/123456789/649
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
ER  - 
@conference{
author = "Radulović, Katarina and Jokić, Ivana and Frantlović, Miloš and Đurić, Zoran G.",
year = "2014",
url = "http://dais.sanu.ac.rs/123456789/649",
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"
}
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
UR  - http://dais.sanu.ac.rs/123456789/648
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
ER  - 
@conference{
author = "Jokić, Ivana and Frantlović, Miloš and Đurić, Zoran G.",
year = "2014",
url = "http://dais.sanu.ac.rs/123456789/648",
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"
}
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
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

Resonant Frequency and Phase Noise of Nanoelectromechanical Oscillators Based on Two-dimensional Crystal Resonators

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

(Elsevier, 2014)

TY  - JOUR
AU  - Đurić, Zoran G.
AU  - Jokić, Ivana
AU  - Radulović, Katarina
PY  - 2014
UR  - http://dais.sanu.ac.rs/123456789/644
AB  - This study presents a theoretical analysis of one of the most promising nanoelectromechanical (NEMS) components – a NEMS oscillator. The analyzed oscillator contains a stretched circular plate, fabricated of two-dimensional crystals (graphene, bBN, MoS2 etc.), as a resonator. The calculation of resonant frequency based on the classical continuum theory of plates and membranes is presented, and then the phase noise theory of the oscillators using a circular plate as a frequency determining element. We assume that thermal and 1/f noise are present in the oscillator circuit. A satisfactory agreement is obtained between our calculations and recent experimental literature data for graphene.
PB  - Elsevier
T2  - Procedia Engineering
T1  - Resonant Frequency and Phase Noise of Nanoelectromechanical Oscillators Based on Two-dimensional Crystal Resonators
SP  - 460
EP  - 463
VL  - 87
DO  - 10.1016/j.proeng.2014.11.382
ER  - 
@article{
author = "Đurić, Zoran G. and Jokić, Ivana and Radulović, Katarina",
year = "2014",
url = "http://dais.sanu.ac.rs/123456789/644",
abstract = "This study presents a theoretical analysis of one of the most promising nanoelectromechanical (NEMS) components – a NEMS oscillator. The analyzed oscillator contains a stretched circular plate, fabricated of two-dimensional crystals (graphene, bBN, MoS2 etc.), as a resonator. The calculation of resonant frequency based on the classical continuum theory of plates and membranes is presented, and then the phase noise theory of the oscillators using a circular plate as a frequency determining element. We assume that thermal and 1/f noise are present in the oscillator circuit. A satisfactory agreement is obtained between our calculations and recent experimental literature data for graphene.",
publisher = "Elsevier",
journal = "Procedia Engineering",
title = "Resonant Frequency and Phase Noise of Nanoelectromechanical Oscillators Based on Two-dimensional Crystal Resonators",
pages = "460-463",
volume = "87",
doi = "10.1016/j.proeng.2014.11.382"
}
Đurić, Z. G., Jokić, I.,& Radulović, K. (2014). Resonant Frequency and Phase Noise of Nanoelectromechanical Oscillators Based on Two-dimensional Crystal Resonators.
Procedia Engineering
Elsevier., 87, 460-463.
https://doi.org/10.1016/j.proeng.2014.11.382
Đurić ZG, Jokić I, Radulović K. Resonant Frequency and Phase Noise of Nanoelectromechanical Oscillators Based on Two-dimensional Crystal Resonators. Procedia Engineering. 2014;87:460-463
Đurić Zoran G., Jokić Ivana, Radulović Katarina, "Resonant Frequency and Phase Noise of Nanoelectromechanical Oscillators Based on Two-dimensional Crystal Resonators" Procedia Engineering, 87 (2014):460-463,
https://doi.org/10.1016/j.proeng.2014.11.382 .
1
1
1

Fluctuations of the number of adsorbed molecules due to adsorption–desorption processes coupled with mass transfer and surface diffusion in bio/chemical MEMS sensors

Đurić, Zoran G.; Jokić, Ivana; Peleš, Adriana

(Elsevier, 2014)

TY  - JOUR
AU  - Đurić, Zoran G.
AU  - Jokić, Ivana
AU  - Peleš, Adriana
PY  - 2014
UR  - http://dais.sanu.ac.rs/123456789/4727
AB  - In this study we have developed, for the first time, the comprehensive theoretical model of the fluctuations of the number of adsorbed molecules in MEMS chemical and biological sensors, taking into account the processes of mass transfer, adsorption and desorption, and surface diffusion of adsorbed molecules. It is observed that the shape of the fluctuations spectrum contains information about various parameters of the adsorbed analyte and that even the analytes with the same affinity for the same binding sites have different spectra. The numerical calculations performed using the derived theory show that the influence of surface diffusion on the fluctuations spectrum can be significant. The practical value of this work stems from the fact that the fluctuations of the number of adsorbed molecules can be a dominant noise component in affinity-based bio/chemical sensors. Therefore, the derived theory is useful for development of the methods for the detection of analytes based on frequency domain analysis of the measured fluctuations. The recognition of an adsorbed analyte using sensors with non-functionalized sensing surface will also be considered using the presented theory.
PB  - Elsevier
T2  - Microelectronic Engineering
T1  - Fluctuations of the number of adsorbed molecules due to adsorption–desorption processes coupled with mass transfer and surface diffusion in bio/chemical MEMS sensors
SP  - 81
EP  - 85
VL  - 124
DO  - 10.1016/j.mee.2014.06.001
ER  - 
@article{
author = "Đurić, Zoran G. and Jokić, Ivana and Peleš, Adriana",
year = "2014",
url = "http://dais.sanu.ac.rs/123456789/4727",
abstract = "In this study we have developed, for the first time, the comprehensive theoretical model of the fluctuations of the number of adsorbed molecules in MEMS chemical and biological sensors, taking into account the processes of mass transfer, adsorption and desorption, and surface diffusion of adsorbed molecules. It is observed that the shape of the fluctuations spectrum contains information about various parameters of the adsorbed analyte and that even the analytes with the same affinity for the same binding sites have different spectra. The numerical calculations performed using the derived theory show that the influence of surface diffusion on the fluctuations spectrum can be significant. The practical value of this work stems from the fact that the fluctuations of the number of adsorbed molecules can be a dominant noise component in affinity-based bio/chemical sensors. Therefore, the derived theory is useful for development of the methods for the detection of analytes based on frequency domain analysis of the measured fluctuations. The recognition of an adsorbed analyte using sensors with non-functionalized sensing surface will also be considered using the presented theory.",
publisher = "Elsevier",
journal = "Microelectronic Engineering",
title = "Fluctuations of the number of adsorbed molecules due to adsorption–desorption processes coupled with mass transfer and surface diffusion in bio/chemical MEMS sensors",
pages = "81-85",
volume = "124",
doi = "10.1016/j.mee.2014.06.001"
}
Đurić, Z. G., Jokić, I.,& Peleš, A. (2014). Fluctuations of the number of adsorbed molecules due to adsorption–desorption processes coupled with mass transfer and surface diffusion in bio/chemical MEMS sensors.
Microelectronic Engineering
Elsevier., 124, 81-85.
https://doi.org/10.1016/j.mee.2014.06.001
Đurić ZG, Jokić I, Peleš A. Fluctuations of the number of adsorbed molecules due to adsorption–desorption processes coupled with mass transfer and surface diffusion in bio/chemical MEMS sensors. Microelectronic Engineering. 2014;124:81-85
Đurić Zoran G., Jokić Ivana, Peleš Adriana, "Fluctuations of the number of adsorbed molecules due to adsorption–desorption processes coupled with mass transfer and surface diffusion in bio/chemical MEMS sensors" Microelectronic Engineering, 124 (2014):81-85,
https://doi.org/10.1016/j.mee.2014.06.001 .
7
5
8

Fluctuations of the number of adsorbed molecules due to adsorption–desorption processes coupled with mass transfer and surface diffusion in bio/chemical MEMS sensors

Đurić, Zoran G.; Jokić, Ivana; Peleš, Adriana

(Elsevier, 2014)

TY  - JOUR
AU  - Đurić, Zoran G.
AU  - Jokić, Ivana
AU  - Peleš, Adriana
PY  - 2014
UR  - http://dais.sanu.ac.rs/123456789/541
AB  - In this study we have developed, for the first time, the comprehensive theoretical model of the fluctuations of the number of adsorbed molecules in MEMS chemical and biological sensors, taking into account the processes of mass transfer, adsorption and desorption, and surface diffusion of adsorbed molecules. It is observed that the shape of the fluctuations spectrum contains information about various parameters of the adsorbed analyte and that even the analytes with the same affinity for the same binding sites have different spectra. The numerical calculations performed using the derived theory show that the influence of surface diffusion on the fluctuations spectrum can be significant. The practical value of this work stems from the fact that the fluctuations of the number of adsorbed molecules can be a dominant noise component in affinity-based bio/chemical sensors. Therefore, the derived theory is useful for development of the methods for the detection of analytes based on frequency domain analysis of the measured fluctuations. The recognition of an adsorbed analyte using sensors with non-functionalized sensing surface will also be considered using the presented theory.
PB  - Elsevier
T2  - Microelectronic Engineering
T1  - Fluctuations of the number of adsorbed molecules due to adsorption–desorption processes coupled with mass transfer and surface diffusion in bio/chemical MEMS sensors
SP  - 81
EP  - 85
VL  - 124
DO  - 10.1016/j.mee.2014.06.001
ER  - 
@article{
author = "Đurić, Zoran G. and Jokić, Ivana and Peleš, Adriana",
year = "2014",
url = "http://dais.sanu.ac.rs/123456789/541",
abstract = "In this study we have developed, for the first time, the comprehensive theoretical model of the fluctuations of the number of adsorbed molecules in MEMS chemical and biological sensors, taking into account the processes of mass transfer, adsorption and desorption, and surface diffusion of adsorbed molecules. It is observed that the shape of the fluctuations spectrum contains information about various parameters of the adsorbed analyte and that even the analytes with the same affinity for the same binding sites have different spectra. The numerical calculations performed using the derived theory show that the influence of surface diffusion on the fluctuations spectrum can be significant. The practical value of this work stems from the fact that the fluctuations of the number of adsorbed molecules can be a dominant noise component in affinity-based bio/chemical sensors. Therefore, the derived theory is useful for development of the methods for the detection of analytes based on frequency domain analysis of the measured fluctuations. The recognition of an adsorbed analyte using sensors with non-functionalized sensing surface will also be considered using the presented theory.",
publisher = "Elsevier",
journal = "Microelectronic Engineering",
title = "Fluctuations of the number of adsorbed molecules due to adsorption–desorption processes coupled with mass transfer and surface diffusion in bio/chemical MEMS sensors",
pages = "81-85",
volume = "124",
doi = "10.1016/j.mee.2014.06.001"
}
Đurić, Z. G., Jokić, I.,& Peleš, A. (2014). Fluctuations of the number of adsorbed molecules due to adsorption–desorption processes coupled with mass transfer and surface diffusion in bio/chemical MEMS sensors.
Microelectronic Engineering
Elsevier., 124, 81-85.
https://doi.org/10.1016/j.mee.2014.06.001
Đurić ZG, Jokić I, Peleš A. Fluctuations of the number of adsorbed molecules due to adsorption–desorption processes coupled with mass transfer and surface diffusion in bio/chemical MEMS sensors. Microelectronic Engineering. 2014;124:81-85
Đurić Zoran G., Jokić Ivana, Peleš Adriana, "Fluctuations of the number of adsorbed molecules due to adsorption–desorption processes coupled with mass transfer and surface diffusion in bio/chemical MEMS sensors" Microelectronic Engineering, 124 (2014):81-85,
https://doi.org/10.1016/j.mee.2014.06.001 .
7
5
8

Highly sensitive graphene-based chemical and biological sensors with selectivity achievable through low-frequency noise measurement — Theoretical considerations

Đurić, Zoran G.; Jokić, Ivana; Peleš, Adriana

(IEEE, 2014)

TY  - CONF
AU  - Đurić, Zoran G.
AU  - Jokić, Ivana
AU  - Peleš, Adriana
PY  - 2014
UR  - http://dais.sanu.ac.rs/123456789/647
AB  - We have developed a theory of the low-frequency noise caused by interaction of the analyte with the active area of chemical and biological sensors. The main result is an analytical expression for the spectral density of the fluctuations of the number of particles adsorbed onto the sensing surface, taking into account the processes of mass transfer through the sensor reaction chamber, adsorption and desorption, and surface diffusion of adsorbed particles. The performed numerical calculations show good agreement with the experimental data from the literature, obtained for a graphene-based gas sensor. The derived theory contributes to the theoretical basis necessary for the development of a new method for the recognition and quantification of analytes, based on the measured noise spectrum.
PB  - IEEE
C3  - Proceedings of the International Conference on Microelectronics, ICM (2014 29th International Conference on Microelectronics, MIEL 2014)
T1  - Highly sensitive graphene-based chemical and biological sensors with selectivity achievable through low-frequency noise measurement — Theoretical considerations
SP  - 153
EP  - 156
DO  - 10.1109/MIEL.2014.6842108
ER  - 
@conference{
author = "Đurić, Zoran G. and Jokić, Ivana and Peleš, Adriana",
year = "2014",
url = "http://dais.sanu.ac.rs/123456789/647",
abstract = "We have developed a theory of the low-frequency noise caused by interaction of the analyte with the active area of chemical and biological sensors. The main result is an analytical expression for the spectral density of the fluctuations of the number of particles adsorbed onto the sensing surface, taking into account the processes of mass transfer through the sensor reaction chamber, adsorption and desorption, and surface diffusion of adsorbed particles. The performed numerical calculations show good agreement with the experimental data from the literature, obtained for a graphene-based gas sensor. The derived theory contributes to the theoretical basis necessary for the development of a new method for the recognition and quantification of analytes, based on the measured noise spectrum.",
publisher = "IEEE",
journal = "Proceedings of the International Conference on Microelectronics, ICM (2014 29th International Conference on Microelectronics, MIEL 2014)",
title = "Highly sensitive graphene-based chemical and biological sensors with selectivity achievable through low-frequency noise measurement — Theoretical considerations",
pages = "153-156",
doi = "10.1109/MIEL.2014.6842108"
}
Đurić, Z. G., Jokić, I.,& Peleš, A. (2014). Highly sensitive graphene-based chemical and biological sensors with selectivity achievable through low-frequency noise measurement — Theoretical considerations.
Proceedings of the International Conference on Microelectronics, ICM (2014 29th International Conference on Microelectronics, MIEL 2014)
IEEE., 153-156.
https://doi.org/10.1109/MIEL.2014.6842108
Đurić ZG, Jokić I, Peleš A. Highly sensitive graphene-based chemical and biological sensors with selectivity achievable through low-frequency noise measurement — Theoretical considerations. Proceedings of the International Conference on Microelectronics, ICM (2014 29th International Conference on Microelectronics, MIEL 2014). 2014;:153-156
Đurić Zoran G., Jokić Ivana, Peleš Adriana, "Highly sensitive graphene-based chemical and biological sensors with selectivity achievable through low-frequency noise measurement — Theoretical considerations" Proceedings of the International Conference on Microelectronics, ICM (2014 29th International Conference on Microelectronics, MIEL 2014) (2014):153-156,
https://doi.org/10.1109/MIEL.2014.6842108 .
1
1

Nauka i proces industrijalizacije u Srbiji

Đurić, Zoran G.

(2013)

TY  - BOOK
AU  - Đurić, Zoran G.
PY  - 2013
UR  - http://dais.sanu.ac.rs/123456789/176
AB  - Predavanje na Inženjerskom forumu 4: Nacionalne tehnološke platforme Srbije. 160 godina industrije i fabrike za budućnost Srbije
Beograd, Srpska akademija nauka i umetnosti, 5. decembar 2013.
T1  - Nauka i proces industrijalizacije u Srbiji
ER  - 
@book{
author = "Đurić, Zoran G.",
year = "2013",
url = "http://dais.sanu.ac.rs/123456789/176",
abstract = "Predavanje na Inženjerskom forumu 4: Nacionalne tehnološke platforme Srbije. 160 godina industrije i fabrike za budućnost Srbije
Beograd, Srpska akademija nauka i umetnosti, 5. decembar 2013.",
title = "Nauka i proces industrijalizacije u Srbiji"
}
Đurić, Z. G. (2013). Nauka i proces industrijalizacije u Srbiji.
.
Đurić ZG. Nauka i proces industrijalizacije u Srbiji. 2013;
Đurić Zoran G., "Nauka i proces industrijalizacije u Srbiji" (2013)

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
UR  - http://dais.sanu.ac.rs/123456789/350
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
ER  - 
@article{
author = "Frantlović, Miloš and Jokić, Ivana and Đurić, Zoran G. and Radulović, Katarina",
year = "2013",
url = "http://dais.sanu.ac.rs/123456789/350",
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"
}
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
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 .
7
8
8

Fluctuations of the number of adsorbed molecules due to adsorption-desorption processes coupled with mass transfer and surface diffusion in bio/chemical MEMS sensors

Đurić, Zoran G.; Jokić, Ivana; Peleš, Adriana

(2013)

TY  - CONF
AU  - Đurić, Zoran G.
AU  - Jokić, Ivana
AU  - Peleš, Adriana
PY  - 2013
UR  - http://dais.sanu.ac.rs/123456789/552
AB  - A comprehensive theoretical model of the fluctuations of the number of adsorbed molecules in MEMS bio/chemical sensors is presented for the first time; the model takes into account the processes of mass transfer, adsorption and desorption, and surface diffusion of adsorbed molecules. The numerical calculations performed using the derived theory show that the influence of surface diffusion on the fluctuations spectrum is significant and that it also depends on the species of adsorbed molecules.

Poster presented at the 39th International Conference on Micro and Nano Engineering MNE 2013, 16-19 September 2013, London, UK
T1  - Fluctuations of the number of adsorbed molecules due to adsorption-desorption processes coupled with mass transfer and  surface diffusion in bio/chemical MEMS sensors
ER  - 
@conference{
author = "Đurić, Zoran G. and Jokić, Ivana and Peleš, Adriana",
year = "2013",
url = "http://dais.sanu.ac.rs/123456789/552",
abstract = "A comprehensive theoretical model of the fluctuations of the number of adsorbed molecules in MEMS bio/chemical sensors is presented for the first time; the model takes into account the processes of mass transfer, adsorption and desorption, and surface diffusion of adsorbed molecules. The numerical calculations performed using the derived theory show that the influence of surface diffusion on the fluctuations spectrum is significant and that it also depends on the species of adsorbed molecules.

Poster presented at the 39th International Conference on Micro and Nano Engineering MNE 2013, 16-19 September 2013, London, UK",
title = "Fluctuations of the number of adsorbed molecules due to adsorption-desorption processes coupled with mass transfer and  surface diffusion in bio/chemical MEMS sensors"
}
Đurić, Z. G., Jokić, I.,& Peleš, A. (2013). Fluctuations of the number of adsorbed molecules due to adsorption-desorption processes coupled with mass transfer and  surface diffusion in bio/chemical MEMS sensors.
.
Đurić ZG, Jokić I, Peleš A. Fluctuations of the number of adsorbed molecules due to adsorption-desorption processes coupled with mass transfer and  surface diffusion in bio/chemical MEMS sensors. 2013;
Đurić Zoran G., Jokić Ivana, Peleš Adriana, "Fluctuations of the number of adsorbed molecules due to adsorption-desorption processes coupled with mass transfer and  surface diffusion in bio/chemical MEMS sensors" (2013)

Mikro i nano elektromehanički sistemi (MEMS-NEMS) i senzori

Đurić, Zoran G.

(2013)

TY  - BOOK
AU  - Đurić, Zoran G.
PY  - 2013
UR  - http://dais.sanu.ac.rs/123456789/106
AB  - Pristupna beseda  adakemika Zorana Đurića u Srpskoj akademiji nauka i umetnosti, održana 20. maja 2013.

Sadržaj prezentacije 
1. Važniji naučno-istraživački projekti
2. Stvaranje uslova za naučno-istraživački rad (opremanje I razvoj laboratorije)
3. Naučno-nastavne delatnosti
4. MEMS I NEMS – Velika tema, veliki biznis, a stvari sve manje i manje
5. Silicijumski piezootporni senzori pritiska
6. NEMS – Nauka malih I još manjih stvari: milimetri, mikroni, nanometri
7. Senzori: mali, a moćni
AB  - Inaugural address of Academician Zoran Đurić as a full member of the Serbian Academy of Sciences and Arts delivered on May 20, 2013.
T1  - Mikro i nano elektromehanički sistemi (MEMS-NEMS) i senzori
ER  - 
@book{
author = "Đurić, Zoran G.",
year = "2013",
url = "http://dais.sanu.ac.rs/123456789/106",
abstract = "Pristupna beseda  adakemika Zorana Đurića u Srpskoj akademiji nauka i umetnosti, održana 20. maja 2013.

Sadržaj prezentacije 
1. Važniji naučno-istraživački projekti
2. Stvaranje uslova za naučno-istraživački rad (opremanje I razvoj laboratorije)
3. Naučno-nastavne delatnosti
4. MEMS I NEMS – Velika tema, veliki biznis, a stvari sve manje i manje
5. Silicijumski piezootporni senzori pritiska
6. NEMS – Nauka malih I još manjih stvari: milimetri, mikroni, nanometri
7. Senzori: mali, a moćni, Inaugural address of Academician Zoran Đurić as a full member of the Serbian Academy of Sciences and Arts delivered on May 20, 2013.",
title = "Mikro i nano elektromehanički sistemi (MEMS-NEMS) i senzori"
}
Đurić, Z. G. (2013). Mikro i nano elektromehanički sistemi (MEMS-NEMS) i senzori.
.
Đurić ZG. Mikro i nano elektromehanički sistemi (MEMS-NEMS) i senzori. 2013;
Đurić Zoran G., "Mikro i nano elektromehanički sistemi (MEMS-NEMS) i senzori" (2013)

Detection Limit for an Adsorption-Based Mercury Sensor

Sarajlić, Milija; Đurić, Zoran G.; Jović, Vesna; Petrović, Srđan; Đorđević, Dragana

(Elsevier, 2013)

TY  - JOUR
AU  - Sarajlić, Milija
AU  - Đurić, Zoran G.
AU  - Jović, Vesna
AU  - Petrović, Srđan
AU  - Đorđević, Dragana
PY  - 2013
UR  - http://dais.sanu.ac.rs/123456789/378
AB  - A novel readout procedure for the determination of detection limit at an adsorption-based mercury sensor is described. The procedure is based on the evaluation of the initial voltage slope in time evolution of adsorbed elementary mercury. The Langmuir time-dependent adsorption theory is utilized to derive it. This procedure gives the theoretical minimum for the detection for this type of the sensor, which is estimated at 180 ng/m3. This is five times lower than the best previously reported results. This procedure can also be used for regular sensor readout. This work describes the experimental procedure for mercury sensor fabrication as well as its measurement cycle. The sensor is working in the cycles of mercury adsorption and evaporation induced by heating. It is shown that every part of the cycle can be monitored by measuring output voltage of the sensor without any additional measurements like surface temperature or rate of the evaporation.
PB  - Elsevier
T2  - Microelectronic Engineering
T1  - Detection Limit for an Adsorption-Based Mercury Sensor
SP  - 118
EP  - 122
VL  - 103
DO  - 10.1016/j.mee.2012.10.009
ER  - 
@article{
author = "Sarajlić, Milija and Đurić, Zoran G. and Jović, Vesna and Petrović, Srđan and Đorđević, Dragana",
year = "2013",
url = "http://dais.sanu.ac.rs/123456789/378",
abstract = "A novel readout procedure for the determination of detection limit at an adsorption-based mercury sensor is described. The procedure is based on the evaluation of the initial voltage slope in time evolution of adsorbed elementary mercury. The Langmuir time-dependent adsorption theory is utilized to derive it. This procedure gives the theoretical minimum for the detection for this type of the sensor, which is estimated at 180 ng/m3. This is five times lower than the best previously reported results. This procedure can also be used for regular sensor readout. This work describes the experimental procedure for mercury sensor fabrication as well as its measurement cycle. The sensor is working in the cycles of mercury adsorption and evaporation induced by heating. It is shown that every part of the cycle can be monitored by measuring output voltage of the sensor without any additional measurements like surface temperature or rate of the evaporation.",
publisher = "Elsevier",
journal = "Microelectronic Engineering",
title = "Detection Limit for an Adsorption-Based Mercury Sensor",
pages = "118-122",
volume = "103",
doi = "10.1016/j.mee.2012.10.009"
}
Sarajlić, M., Đurić, Z. G., Jović, V., Petrović, S.,& Đorđević, D. (2013). Detection Limit for an Adsorption-Based Mercury Sensor.
Microelectronic Engineering
Elsevier., 103, 118-122.
https://doi.org/10.1016/j.mee.2012.10.009
Sarajlić M, Đurić ZG, Jović V, Petrović S, Đorđević D. Detection Limit for an Adsorption-Based Mercury Sensor. Microelectronic Engineering. 2013;103:118-122
Sarajlić Milija, Đurić Zoran G., Jović Vesna, Petrović Srđan, Đorđević Dragana, "Detection Limit for an Adsorption-Based Mercury Sensor" Microelectronic Engineering, 103 (2013):118-122,
https://doi.org/10.1016/j.mee.2012.10.009 .
9
9
8

An adsorption-based mercury sensor with continuous readout

Sarajlić, Milija; Đurić, Zoran G.; Jović, Vesna; Petrović, Srđan; Đorđević, Dragana

(Springer-Verlag, 2013)

TY  - JOUR
AU  - Sarajlić, Milija
AU  - Đurić, Zoran G.
AU  - Jović, Vesna
AU  - Petrović, Srđan
AU  - Đorđević, Dragana
PY  - 2013
UR  - http://dais.sanu.ac.rs/123456789/377
AB  - A novel readout procedure for a mercury sensor has been proposed. The sensor is based on the surface adsorption. Mercury vapor is adsorbed at the surface of a thin gold layer patterned into four meanders which are connected into a Wheatstone bridge configuration. Sensing is achieved by the resistivity change of the gold film during mercury adsorption. Direct output from the sensor is electric voltage. It takes an additional procedure to convert voltage to mercury concentration. This type of sensor is improved by introducing continuous readout procedure for the voltage–concentration conversion. By using this readout procedure it is possible to monitor mercury vapor concentration as a function of time. Readout is based on the Langmuir time–dependent adsorption theory. This paper illustrates a practical implementation of the new readout procedure.
PB  - Springer-Verlag
T2  - Microsystem Technologies
T1  - An adsorption-based mercury sensor with continuous readout
SP  - 749
EP  - 755
VL  - 19
IS  - 5
DO  - 10.1007/s00542-012-1679-6
ER  - 
@article{
author = "Sarajlić, Milija and Đurić, Zoran G. and Jović, Vesna and Petrović, Srđan and Đorđević, Dragana",
year = "2013",
url = "http://dais.sanu.ac.rs/123456789/377",
abstract = "A novel readout procedure for a mercury sensor has been proposed. The sensor is based on the surface adsorption. Mercury vapor is adsorbed at the surface of a thin gold layer patterned into four meanders which are connected into a Wheatstone bridge configuration. Sensing is achieved by the resistivity change of the gold film during mercury adsorption. Direct output from the sensor is electric voltage. It takes an additional procedure to convert voltage to mercury concentration. This type of sensor is improved by introducing continuous readout procedure for the voltage–concentration conversion. By using this readout procedure it is possible to monitor mercury vapor concentration as a function of time. Readout is based on the Langmuir time–dependent adsorption theory. This paper illustrates a practical implementation of the new readout procedure.",
publisher = "Springer-Verlag",
journal = "Microsystem Technologies",
title = "An adsorption-based mercury sensor with continuous readout",
pages = "749-755",
volume = "19",
number = "5",
doi = "10.1007/s00542-012-1679-6"
}
Sarajlić, M., Đurić, Z. G., Jović, V., Petrović, S.,& Đorđević, D. (2013). An adsorption-based mercury sensor with continuous readout.
Microsystem Technologies
Springer-Verlag., 19(5), 749-755.
https://doi.org/10.1007/s00542-012-1679-6
Sarajlić M, Đurić ZG, Jović V, Petrović S, Đorđević D. An adsorption-based mercury sensor with continuous readout. Microsystem Technologies. 2013;19(5):749-755
Sarajlić Milija, Đurić Zoran G., Jović Vesna, Petrović Srđan, Đorđević Dragana, "An adsorption-based mercury sensor with continuous readout" Microsystem Technologies, 19, no. 5 (2013):749-755,
https://doi.org/10.1007/s00542-012-1679-6 .
8
8
8