TY  - CONF
AU  - Jokić, Ivana
AU  - Đurić, Zoran G.
AU  - Radulović, Katarina
AU  - Frantlović, Miloš
AU  - Krstajić, Predrag
PY  - 2019
UR  - https://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
UR  - https://hdl.handle.net/21.15107/rcub_dais_6909
ER  - 

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

Jokić, I., Đurić, Z. G., Radulović, K., Frantlović, M.,& Krstajić, P.. (2019). Analysis of Intrinsic Stochastic Fluctuations of the Time Response of Adsorption-Based Microfluidic Bio/Chemical Sensors: the Case of Bianalyte Mixtures. in 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
https://hdl.handle.net/21.15107/rcub_dais_6909

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. in 2019 IEEE 31st International Conference on Microelectronics, MIEL 2019 - Proceedings. 2019;:161-164.
doi:10.1109/MIEL.2019.8889579
https://hdl.handle.net/21.15107/rcub_dais_6909 .

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" in 2019 IEEE 31st International Conference on Microelectronics, MIEL 2019 - Proceedings (2019):161-164,
https://doi.org/10.1109/MIEL.2019.8889579 .,
https://hdl.handle.net/21.15107/rcub_dais_6909 .

TY  - CONF
AU  - Jokić, Ivana
AU  - Đurić, Zoran G.
AU  - Radulović, Katarina
AU  - Frantlović, Miloš
AU  - Krstajić, Predrag
PY  - 2019
UR  - https://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
UR  - https://hdl.handle.net/21.15107/rcub_dais_6918
ER  - 

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

Jokić, I., Đurić, Z. G., Radulović, K., Frantlović, M.,& Krstajić, P.. (2019). Analysis of Intrinsic Stochastic Fluctuations of the Time Response of Adsorption-Based Microfluidic Bio/Chemical Sensors: the Case of Bianalyte Mixtures. in 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
https://hdl.handle.net/21.15107/rcub_dais_6918

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. in 2019 IEEE 31st International Conference on Microelectronics, MIEL 2019 - Proceedings. 2019;:161-164.
doi:10.1109/MIEL.2019.8889579
https://hdl.handle.net/21.15107/rcub_dais_6918 .

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" in 2019 IEEE 31st International Conference on Microelectronics, MIEL 2019 - Proceedings (2019):161-164,
https://doi.org/10.1109/MIEL.2019.8889579 .,
https://hdl.handle.net/21.15107/rcub_dais_6918 .

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  - https://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
UR  - https://hdl.handle.net/21.15107/rcub_dais_6961
ER  - 

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

Jokić, I., Radulović, K., Frantlović, M., Đurić, Z. G., Cvetanović Zobenica, K.,& Krstajić, P.. (2019). Analysis of the Fundamental Detection Limit in Microfluidic Chemical and Biological Sensors. in 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 : ETRAN., 571-574.
https://hdl.handle.net/21.15107/rcub_dais_6961

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. in 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.
https://hdl.handle.net/21.15107/rcub_dais_6961 .

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" in 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,
https://hdl.handle.net/21.15107/rcub_dais_6961 .

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  - https://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
UR  - https://hdl.handle.net/21.15107/rcub_dais_4630
ER  - 

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

Jokić, I., Đurić, Z. G., Radulović, K., Frantlović, M., Krstajić, P.,& Cvetanović Zobenica, K.. (2018). Steady-state analysis of stochastic time response of chemical and biological microfluidic sensors. in IcETRAN & ETRAN 2018, Palić 11-14. 06. 2018: Program
ETRAN..
https://hdl.handle.net/21.15107/rcub_dais_4630

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. in IcETRAN & ETRAN 2018, Palić 11-14. 06. 2018: Program. 2018;.
https://hdl.handle.net/21.15107/rcub_dais_4630 .

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" in IcETRAN & ETRAN 2018, Palić 11-14. 06. 2018: Program (2018),
https://hdl.handle.net/21.15107/rcub_dais_4630 .

TY  - JOUR
AU  - Jokić, Ivana
AU  - Đurić, Zoran G.
AU  - Frantlović, Miloš
AU  - Radulović, Katarina
AU  - Krstajić, Predrag
AU  - Jokić, Zorana
PY  - 2012
UR  - https://dais.sanu.ac.rs/123456789/470
AB  - We derived a simple theory of fluctuations of the equilibrium number of adsorbed molecules in biosensors, caused by the stochastic nature of adsorption–desorption (AD) processes coupled with mass transfer. The two-compartment model is used for approximation of the spatial dependence of analyte concentration in the reaction chamber, which is justified when a thin layer depleted of the analyte exists close to the surface on which the binding reaction occurs. By using the obtained analytical expression for the power spectral density of fluctuations we perform for the first time the quantitative analysis of the influence of the mass transfer on the fluctuations spectrum. For realistic parameter values, the influence of mass transfer proved to be significant, causing the increase in the fluctuations level of up to two orders of magnitude compared to the rapid mixing case. The dependences of the mass transfer influenced fluctuations spectrum on various parameters of the analyte–receptor binding process are also systematically investigated. The presented theoretical model of fluctuations enables good estimation of the AD noise, which affects the total noise and the minimal detectable signal of biosensors. It provides the guidelines for improvement of the limits of detection, and for optimization of detection methods. The theory is also proposed as a basis for development of highly sensitive methods for analyte detection and characterization of biomolecular binding processes, based on the measured fluctuations spectrum. It is applicable for various types of sensors whose operation principle relies on the adsorption process of analyte molecules.
PB  - Elsevier
T2  - Sensors and Actuators B: Chemical
T1  - Fluctuations of the number of adsorbed molecules in biosensors due to stochastic adsorption–desorption processes coupled with mass transfer
SP  - 535
EP  - 543
DO  - 10.1016/j.snb.2012.03.004
UR  - https://hdl.handle.net/21.15107/rcub_dais_470
ER  - 

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

Jokić, I., Đurić, Z. G., Frantlović, M., Radulović, K., Krstajić, P.,& Jokić, Z.. (2012). Fluctuations of the number of adsorbed molecules in biosensors due to stochastic adsorption–desorption processes coupled with mass transfer. in Sensors and Actuators B: Chemical
Elsevier., 535-543.
https://doi.org/10.1016/j.snb.2012.03.004
https://hdl.handle.net/21.15107/rcub_dais_470

Jokić I, Đurić ZG, Frantlović M, Radulović K, Krstajić P, Jokić Z. Fluctuations of the number of adsorbed molecules in biosensors due to stochastic adsorption–desorption processes coupled with mass transfer. in Sensors and Actuators B: Chemical. 2012;:535-543.
doi:10.1016/j.snb.2012.03.004
https://hdl.handle.net/21.15107/rcub_dais_470 .

Jokić, Ivana, Đurić, Zoran G., Frantlović, Miloš, Radulović, Katarina, Krstajić, Predrag, Jokić, Zorana, "Fluctuations of the number of adsorbed molecules in biosensors due to stochastic adsorption–desorption processes coupled with mass transfer" in Sensors and Actuators B: Chemical (2012):535-543,
https://doi.org/10.1016/j.snb.2012.03.004 .,
https://hdl.handle.net/21.15107/rcub_dais_470 .