TY  - CONF
AU  - Andrić, Stevan
AU  - Jokić, Ivana
AU  - Frantlović, Miloš
AU  - Radulović, Katarina
AU  - Spasenović, Marko
PY  - 2022
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/5825
AB  - Graphene-based sensors have a great potential for applications in public and personal health protection, including defense and security fields. However, sensitivity and selectivity of such sensors are inherently dependent on adsorption properties of the graphene sensing layer, which is typically of heterogeneous morphology and/or of heterogeneous chemical composition due to intentionally introduced functionalizing elements or spontaneously adsorbed molecules during sensor fabrication or operation. Therefore, characterization and optimization of sensing layers is extremely important for achieving high sensing performance. In this work, we present a method for characterization of the heterogeneous sensing layer by using the frequency domain analysis of the sensor output signal. The method is based on the mathematical model we devised. Here, the model is presented in detail for the case of a surface with three types of adsorption sites, and then the method is applied for extraction of parameters that characterize adsorption properties of a graphene sensing layer.
PB  - Belgrade : The Military Technical Institute
C3  - Proceedings - 10th International Scientific Conference on Defensive Technologies, OTEH 2022, 13-14 October 2022, Belgrade, Serbia
T1  - Characterization of heterogeneous sensing layers in graphene-based gas sensors
UR  - https://hdl.handle.net/21.15107/rcub_cer_5825
ER  - 

@conference{
author = "Andrić, Stevan and Jokić, Ivana and Frantlović, Miloš and Radulović, Katarina and Spasenović, Marko",
year = "2022",
abstract = "Graphene-based sensors have a great potential for applications in public and personal health protection, including defense and security fields. However, sensitivity and selectivity of such sensors are inherently dependent on adsorption properties of the graphene sensing layer, which is typically of heterogeneous morphology and/or of heterogeneous chemical composition due to intentionally introduced functionalizing elements or spontaneously adsorbed molecules during sensor fabrication or operation. Therefore, characterization and optimization of sensing layers is extremely important for achieving high sensing performance. In this work, we present a method for characterization of the heterogeneous sensing layer by using the frequency domain analysis of the sensor output signal. The method is based on the mathematical model we devised. Here, the model is presented in detail for the case of a surface with three types of adsorption sites, and then the method is applied for extraction of parameters that characterize adsorption properties of a graphene sensing layer.",
publisher = "Belgrade : The Military Technical Institute",
journal = "Proceedings - 10th International Scientific Conference on Defensive Technologies, OTEH 2022, 13-14 October 2022, Belgrade, Serbia",
title = "Characterization of heterogeneous sensing layers in graphene-based gas sensors",
url = "https://hdl.handle.net/21.15107/rcub_cer_5825"
}

Andrić, S., Jokić, I., Frantlović, M., Radulović, K.,& Spasenović, M.. (2022). Characterization of heterogeneous sensing layers in graphene-based gas sensors. in Proceedings - 10th International Scientific Conference on Defensive Technologies, OTEH 2022, 13-14 October 2022, Belgrade, Serbia
Belgrade : The Military Technical Institute..
https://hdl.handle.net/21.15107/rcub_cer_5825

Andrić S, Jokić I, Frantlović M, Radulović K, Spasenović M. Characterization of heterogeneous sensing layers in graphene-based gas sensors. in Proceedings - 10th International Scientific Conference on Defensive Technologies, OTEH 2022, 13-14 October 2022, Belgrade, Serbia. 2022;.
https://hdl.handle.net/21.15107/rcub_cer_5825 .

Andrić, Stevan, Jokić, Ivana, Frantlović, Miloš, Radulović, Katarina, Spasenović, Marko, "Characterization of heterogeneous sensing layers in graphene-based gas sensors" in Proceedings - 10th International Scientific Conference on Defensive Technologies, OTEH 2022, 13-14 October 2022, Belgrade, Serbia (2022),
https://hdl.handle.net/21.15107/rcub_cer_5825 .

TY  - JOUR
AU  - Andrić, Stevan
AU  - Jokić, Ivana
AU  - Stevanović, Jelena
AU  - Spasenović, Marko
AU  - Frantlović, Miloš
PY  - 2022
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/5583
AB  - Surfaces of adsorption-based gas sensors are often heterogeneous, with adsorption sites that differ in their affinities for gas particle binding. Knowing adsorption/desorption energies, surface densities and the relative abundance of sites of different types is important, because these parameters impact sensor sensitivity and selectivity, and are relevant for revealing the response-generating mechanisms. We show that the analysis of the noise of adsorption-based sensors can be used to study gas adsorption on heterogeneous sensing surfaces, which is applicable to industrially important liquid-phase exfoliated (LPE) graphene. Our results for CO2 adsorption on an LPE graphene surface, with different types of adsorption sites on graphene flake edges and basal planes, show that the noise spectrum data can be used to characterize such surfaces in terms of parameters that determine the sensing properties of the adsorbing material. Notably, the spectrum characteristic frequencies are an unambiguous indicator of the relative abundance of different types of adsorption sites on the sensing surface and their surface densities. We also demonstrate that spectrum features indicate the fraction of the binding sites that are already occupied by another gas species. The presented study can be applied to the design and production of graphene and other sensing surfaces with an optimal sensing performance.
PB  - MDPI AG
T2  - Chemosensors
T1  - Noise Spectrum as a Source of Information in Gas Sensors Based on Liquid-Phase Exfoliated Graphene
VL  - 10
IS  - 6
SP  - 224
DO  - 10.3390/chemosensors10060224
ER  - 

@article{
author = "Andrić, Stevan and Jokić, Ivana and Stevanović, Jelena and Spasenović, Marko and Frantlović, Miloš",
year = "2022",
abstract = "Surfaces of adsorption-based gas sensors are often heterogeneous, with adsorption sites that differ in their affinities for gas particle binding. Knowing adsorption/desorption energies, surface densities and the relative abundance of sites of different types is important, because these parameters impact sensor sensitivity and selectivity, and are relevant for revealing the response-generating mechanisms. We show that the analysis of the noise of adsorption-based sensors can be used to study gas adsorption on heterogeneous sensing surfaces, which is applicable to industrially important liquid-phase exfoliated (LPE) graphene. Our results for CO2 adsorption on an LPE graphene surface, with different types of adsorption sites on graphene flake edges and basal planes, show that the noise spectrum data can be used to characterize such surfaces in terms of parameters that determine the sensing properties of the adsorbing material. Notably, the spectrum characteristic frequencies are an unambiguous indicator of the relative abundance of different types of adsorption sites on the sensing surface and their surface densities. We also demonstrate that spectrum features indicate the fraction of the binding sites that are already occupied by another gas species. The presented study can be applied to the design and production of graphene and other sensing surfaces with an optimal sensing performance.",
publisher = "MDPI AG",
journal = "Chemosensors",
title = "Noise Spectrum as a Source of Information in Gas Sensors Based on Liquid-Phase Exfoliated Graphene",
volume = "10",
number = "6",
pages = "224",
doi = "10.3390/chemosensors10060224"
}

Andrić, S., Jokić, I., Stevanović, J., Spasenović, M.,& Frantlović, M.. (2022). Noise Spectrum as a Source of Information in Gas Sensors Based on Liquid-Phase Exfoliated Graphene. in Chemosensors
MDPI AG., 10(6), 224.
https://doi.org/10.3390/chemosensors10060224

Andrić S, Jokić I, Stevanović J, Spasenović M, Frantlović M. Noise Spectrum as a Source of Information in Gas Sensors Based on Liquid-Phase Exfoliated Graphene. in Chemosensors. 2022;10(6):224.
doi:10.3390/chemosensors10060224 .

Andrić, Stevan, Jokić, Ivana, Stevanović, Jelena, Spasenović, Marko, Frantlović, Miloš, "Noise Spectrum as a Source of Information in Gas Sensors Based on Liquid-Phase Exfoliated Graphene" in Chemosensors, 10, no. 6 (2022):224,
https://doi.org/10.3390/chemosensors10060224 . .

TY  - CONF
AU  - Bošković, Marko
AU  - Andrić, Stevan
AU  - Frantlović, Miloš
AU  - Jokić, Ivana
AU  - Sarajlić, Milija
AU  - Vićentić, Teodora
AU  - Spasenović, Marko
PY  - 2021
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/7134
AB  - Herein we investigate the influence of UV irradiation on the time response of a resistive gas sensor with a liquid-phase exfoliated graphene as the active material. The effect of exposure to UV light on the baseline electrical resistance (in inert atmosphere) will be compared with the effect of the annealing process. The influence of various intensities of UV radiation on the response and recovery time, repeatability and detection limit of graphene will be discussed.
PB  - Serbian Academy of Sciences and Arts
C3  - Book of abstracts - PHOTONICA2021, VIII International School and Conference on Photonics & HEMMAGINERO workshop, 23 - 27 August 2021, Belgrade, Serbia
T1  - Influence of UV radiation on the time response of a resistive gas sensor based on liquid-phase exfoliated graphene
SP  - 180
EP  - 180
UR  - https://hdl.handle.net/21.15107/rcub_cer_7134
ER  - 

@conference{
author = "Bošković, Marko and Andrić, Stevan and Frantlović, Miloš and Jokić, Ivana and Sarajlić, Milija and Vićentić, Teodora and Spasenović, Marko",
year = "2021",
abstract = "Herein we investigate the influence of UV irradiation on the time response of a resistive gas sensor with a liquid-phase exfoliated graphene as the active material. The effect of exposure to UV light on the baseline electrical resistance (in inert atmosphere) will be compared with the effect of the annealing process. The influence of various intensities of UV radiation on the response and recovery time, repeatability and detection limit of graphene will be discussed.",
publisher = "Serbian Academy of Sciences and Arts",
journal = "Book of abstracts - PHOTONICA2021, VIII International School and Conference on Photonics & HEMMAGINERO workshop, 23 - 27 August 2021, Belgrade, Serbia",
title = "Influence of UV radiation on the time response of a resistive gas sensor based on liquid-phase exfoliated graphene",
pages = "180-180",
url = "https://hdl.handle.net/21.15107/rcub_cer_7134"
}

Bošković, M., Andrić, S., Frantlović, M., Jokić, I., Sarajlić, M., Vićentić, T.,& Spasenović, M.. (2021). Influence of UV radiation on the time response of a resistive gas sensor based on liquid-phase exfoliated graphene. in Book of abstracts - PHOTONICA2021, VIII International School and Conference on Photonics & HEMMAGINERO workshop, 23 - 27 August 2021, Belgrade, Serbia
Serbian Academy of Sciences and Arts., 180-180.
https://hdl.handle.net/21.15107/rcub_cer_7134

Bošković M, Andrić S, Frantlović M, Jokić I, Sarajlić M, Vićentić T, Spasenović M. Influence of UV radiation on the time response of a resistive gas sensor based on liquid-phase exfoliated graphene. in Book of abstracts - PHOTONICA2021, VIII International School and Conference on Photonics & HEMMAGINERO workshop, 23 - 27 August 2021, Belgrade, Serbia. 2021;:180-180.
https://hdl.handle.net/21.15107/rcub_cer_7134 .

Bošković, Marko, Andrić, Stevan, Frantlović, Miloš, Jokić, Ivana, Sarajlić, Milija, Vićentić, Teodora, Spasenović, Marko, "Influence of UV radiation on the time response of a resistive gas sensor based on liquid-phase exfoliated graphene" in Book of abstracts - PHOTONICA2021, VIII International School and Conference on Photonics & HEMMAGINERO workshop, 23 - 27 August 2021, Belgrade, Serbia (2021):180-180,
https://hdl.handle.net/21.15107/rcub_cer_7134 .

TY  - JOUR
AU  - Jakšić, Olga
AU  - Jakšić, Zoran
AU  - Guha, Koushik
AU  - Jokić, Ivana
AU  - Frantlović, Miloš
PY  - 2021
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/4223
AB  - Random sequences and maps are essential for the applications in cryptography and many other fields in Information Technologies. To achieve true randomness, one still needs to refer to natural phenomena, be it physical, chemical or biological. Here we analyse the possibility to apply stochastic physico–chemical dynamics to generate truly random sequences and bitmaps. To this purpose, we utilize simulations of adsorption–desorption (AD) based intrinsic noise in realistic microsystems and nanosystems. We focus on affinity-based chemical or biological sensors, for instance those based on micro or nanocantilevers, as well as those utilizing plasmonic and generally metamaterial phenomena (refractometric nanosensors.) Random numbers in sequences or maps in both types of structures are generated by simulations of intrinsic fluctuations of AD processes. We present three novel AD-simulation based algorithms, two of them for bitstreams and one for dynamic bitmaps. We use the stochastic simulation algorithm developed for modelling of chemical kinetics. We tested the obtained pseudo random numbers by visual analysis and using our custom designed test suite. We have proven the applicability of the proposed method for generation of random sequences and maps. Our results could be used in digital data encryption and communication. They also point out to a possibility to a hardware implementation of a full random number generator that would incorporate the mentioned micro and nanosystems.
PB  - Springer Nature
T2  - Microsystem Technologies
T1  - Equilibrium fluctuations in chemical reactions: a viable source of random data (numbers, maps and sequences)
DO  - 10.1007/s00542-020-05137-5
ER  - 

@article{
author = "Jakšić, Olga and Jakšić, Zoran and Guha, Koushik and Jokić, Ivana and Frantlović, Miloš",
year = "2021",
abstract = "Random sequences and maps are essential for the applications in cryptography and many other fields in Information Technologies. To achieve true randomness, one still needs to refer to natural phenomena, be it physical, chemical or biological. Here we analyse the possibility to apply stochastic physico–chemical dynamics to generate truly random sequences and bitmaps. To this purpose, we utilize simulations of adsorption–desorption (AD) based intrinsic noise in realistic microsystems and nanosystems. We focus on affinity-based chemical or biological sensors, for instance those based on micro or nanocantilevers, as well as those utilizing plasmonic and generally metamaterial phenomena (refractometric nanosensors.) Random numbers in sequences or maps in both types of structures are generated by simulations of intrinsic fluctuations of AD processes. We present three novel AD-simulation based algorithms, two of them for bitstreams and one for dynamic bitmaps. We use the stochastic simulation algorithm developed for modelling of chemical kinetics. We tested the obtained pseudo random numbers by visual analysis and using our custom designed test suite. We have proven the applicability of the proposed method for generation of random sequences and maps. Our results could be used in digital data encryption and communication. They also point out to a possibility to a hardware implementation of a full random number generator that would incorporate the mentioned micro and nanosystems.",
publisher = "Springer Nature",
journal = "Microsystem Technologies",
title = "Equilibrium fluctuations in chemical reactions: a viable source of random data (numbers, maps and sequences)",
doi = "10.1007/s00542-020-05137-5"
}

Jakšić, O., Jakšić, Z., Guha, K., Jokić, I.,& Frantlović, M.. (2021). Equilibrium fluctuations in chemical reactions: a viable source of random data (numbers, maps and sequences). in Microsystem Technologies
Springer Nature..
https://doi.org/10.1007/s00542-020-05137-5

Jakšić O, Jakšić Z, Guha K, Jokić I, Frantlović M. Equilibrium fluctuations in chemical reactions: a viable source of random data (numbers, maps and sequences). in Microsystem Technologies. 2021;.
doi:10.1007/s00542-020-05137-5 .

Jakšić, Olga, Jakšić, Zoran, Guha, Koushik, Jokić, Ivana, Frantlović, Miloš, "Equilibrium fluctuations in chemical reactions: a viable source of random data (numbers, maps and sequences)" in Microsystem Technologies (2021),
https://doi.org/10.1007/s00542-020-05137-5 . .

TY  - JOUR
AU  - Jokić, Ivana
AU  - Jakšić, Olga
AU  - Frantlović, Miloš
AU  - Jakšić, Zoran
AU  - Radulović, Katarina
PY  - 2021
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/4726
AB  - Highly sensitive detection of biological analytes by plasmonic sensors is based on analyte adsorption, which modifies the effective refractive index (RI) at the medium-sensor interface. The main issue with such sensors is the non-ideal sensor selectivity (manifested in multiple analyte adsorption), while sample depletion (significant at low analyte concentrations) also causes a deviation of the sensor response from the expected time dependence. Mathematical modelling of sensor response, presented in this work, simultaneously tackles these two issues that may cause erroneous interpretation of measurement results. Two mathematical models that address the problem of limited selectivity are utilized to analyse the sensor response: the linear (pseudo-first order) model, commonly used for interpretation of measurements, and the nonlinear (second order) model that takes into account analyte depletion in the sensor chamber. While the nonlinear model has a virtue of generality, the advantages of the linear model are its simplicity and a well-established procedure for the analysis of experimental results. However, the linear model can exhibit large errors in the case of significant analyte depletion. Until now, the influence of analyte depletion on the linear model fidelity has not been studied for multianalyte adsorption. In this paper, we quantify the difference between the RI changes predicted by the two models of two-analyte competitive adsorption, and establish the conditions that justify the use of the linear model. The validity of these conditions is confirmed by numerically solving the exact nonlinear model equations. The conditions enable making an objective decision whether it is safe to use the linear model for detection of ultralow analyte concentrations, or the nonlinear model must be used in order to avoid false-positive/false-negative detection results and analyte quantification errors. The results are applicable in adsorption-based chemical/biological sensing in complex samples, as well as for the new generation single-element multianalyte plasmonic sensors.
PB  - IOP Publishing
T2  - Measurement Science and Technology
T1  - Modelling of plasmonic biosensor temporal response influenced by competitive adsorption and analyte depletion
VL  - 32
IS  - 9
DO  - 10.1088/1361-6501/abfe85
ER  - 

@article{
author = "Jokić, Ivana and Jakšić, Olga and Frantlović, Miloš and Jakšić, Zoran and Radulović, Katarina",
year = "2021",
abstract = "Highly sensitive detection of biological analytes by plasmonic sensors is based on analyte adsorption, which modifies the effective refractive index (RI) at the medium-sensor interface. The main issue with such sensors is the non-ideal sensor selectivity (manifested in multiple analyte adsorption), while sample depletion (significant at low analyte concentrations) also causes a deviation of the sensor response from the expected time dependence. Mathematical modelling of sensor response, presented in this work, simultaneously tackles these two issues that may cause erroneous interpretation of measurement results. Two mathematical models that address the problem of limited selectivity are utilized to analyse the sensor response: the linear (pseudo-first order) model, commonly used for interpretation of measurements, and the nonlinear (second order) model that takes into account analyte depletion in the sensor chamber. While the nonlinear model has a virtue of generality, the advantages of the linear model are its simplicity and a well-established procedure for the analysis of experimental results. However, the linear model can exhibit large errors in the case of significant analyte depletion. Until now, the influence of analyte depletion on the linear model fidelity has not been studied for multianalyte adsorption. In this paper, we quantify the difference between the RI changes predicted by the two models of two-analyte competitive adsorption, and establish the conditions that justify the use of the linear model. The validity of these conditions is confirmed by numerically solving the exact nonlinear model equations. The conditions enable making an objective decision whether it is safe to use the linear model for detection of ultralow analyte concentrations, or the nonlinear model must be used in order to avoid false-positive/false-negative detection results and analyte quantification errors. The results are applicable in adsorption-based chemical/biological sensing in complex samples, as well as for the new generation single-element multianalyte plasmonic sensors.",
publisher = "IOP Publishing",
journal = "Measurement Science and Technology",
title = "Modelling of plasmonic biosensor temporal response influenced by competitive adsorption and analyte depletion",
volume = "32",
number = "9",
doi = "10.1088/1361-6501/abfe85"
}

Jokić, I., Jakšić, O., Frantlović, M., Jakšić, Z.,& Radulović, K.. (2021). Modelling of plasmonic biosensor temporal response influenced by competitive adsorption and analyte depletion. in Measurement Science and Technology
IOP Publishing., 32(9).
https://doi.org/10.1088/1361-6501/abfe85

Jokić I, Jakšić O, Frantlović M, Jakšić Z, Radulović K. Modelling of plasmonic biosensor temporal response influenced by competitive adsorption and analyte depletion. in Measurement Science and Technology. 2021;32(9).
doi:10.1088/1361-6501/abfe85 .

Jokić, Ivana, Jakšić, Olga, Frantlović, Miloš, Jakšić, Zoran, Radulović, Katarina, "Modelling of plasmonic biosensor temporal response influenced by competitive adsorption and analyte depletion" in Measurement Science and Technology, 32, no. 9 (2021),
https://doi.org/10.1088/1361-6501/abfe85 . .

TY  - JOUR
AU  - Jokić, Ivana
AU  - Đurić, Zoran G.
AU  - Radulović, Katarina
AU  - Frantlović, Miloš
AU  - Milovanović, Gradimir V.
AU  - Krstajić, Predrag
PY  - 2021
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/4826
AB  - In order to improve the interpretation of measurement results and to achieve the optimal performance of microfluidic biosensors, advanced mathematical models of their time response and noise are needed. The random nature of adsorption–desorption and mass transfer (MT) processes that generate the sensor response makes the sensor output signal inherently stochastic and necessi-tates the use of a stochastic approach in sensor response analysis. We present a stochastic model of the sensor time response, which takes into account the coupling of adsorption–desorption and MT processes. It is used for the analysis of response kinetics and ultimate noise performance of protein biosensors. We show that slow MT not only decelerates the response kinetics, but also increases the noise and decreases the sensor’s maximal achievable signal‐to‐noise ratio, thus degrading the ultimate sensor performance, including the minimal detectable/quantifiable analyte concentration. The results illustrate the significance of the presented model for the correct interpretation of measurement data, for the estimation of sensors’ noise performance metrics important for reliable analyte detection/quantification, as well as for sensor optimization in terms of the lower detection/quanti-fication limit. They are also incentives for the further investigation of the MT influence in nanoscale sensors, as a possible cause of false‐negative results in analyte detection experiments.
PB  - MDPI
T2  - Biosensors
T1  - Stochastic time response and ultimate noise performance of adsorption‐based microfluidic biosensors
VL  - 11
IS  - 6
SP  - 194
DO  - 10.3390/bios11060194
ER  - 

@article{
author = "Jokić, Ivana and Đurić, Zoran G. and Radulović, Katarina and Frantlović, Miloš and Milovanović, Gradimir V. and Krstajić, Predrag",
year = "2021",
abstract = "In order to improve the interpretation of measurement results and to achieve the optimal performance of microfluidic biosensors, advanced mathematical models of their time response and noise are needed. The random nature of adsorption–desorption and mass transfer (MT) processes that generate the sensor response makes the sensor output signal inherently stochastic and necessi-tates the use of a stochastic approach in sensor response analysis. We present a stochastic model of the sensor time response, which takes into account the coupling of adsorption–desorption and MT processes. It is used for the analysis of response kinetics and ultimate noise performance of protein biosensors. We show that slow MT not only decelerates the response kinetics, but also increases the noise and decreases the sensor’s maximal achievable signal‐to‐noise ratio, thus degrading the ultimate sensor performance, including the minimal detectable/quantifiable analyte concentration. The results illustrate the significance of the presented model for the correct interpretation of measurement data, for the estimation of sensors’ noise performance metrics important for reliable analyte detection/quantification, as well as for sensor optimization in terms of the lower detection/quanti-fication limit. They are also incentives for the further investigation of the MT influence in nanoscale sensors, as a possible cause of false‐negative results in analyte detection experiments.",
publisher = "MDPI",
journal = "Biosensors",
title = "Stochastic time response and ultimate noise performance of adsorption‐based microfluidic biosensors",
volume = "11",
number = "6",
pages = "194",
doi = "10.3390/bios11060194"
}

Jokić, I., Đurić, Z. G., Radulović, K., Frantlović, M., Milovanović, G. V.,& Krstajić, P.. (2021). Stochastic time response and ultimate noise performance of adsorption‐based microfluidic biosensors. in Biosensors
MDPI., 11(6), 194.
https://doi.org/10.3390/bios11060194

Jokić I, Đurić ZG, Radulović K, Frantlović M, Milovanović GV, Krstajić P. Stochastic time response and ultimate noise performance of adsorption‐based microfluidic biosensors. in Biosensors. 2021;11(6):194.
doi:10.3390/bios11060194 .

Jokić, Ivana, Đurić, Zoran G., Radulović, Katarina, Frantlović, Miloš, Milovanović, Gradimir V., Krstajić, Predrag, "Stochastic time response and ultimate noise performance of adsorption‐based microfluidic biosensors" in Biosensors, 11, no. 6 (2021):194,
https://doi.org/10.3390/bios11060194 . .

TY  - JOUR
AU  - Jokić, Ivana
AU  - Jakšić, Olga
AU  - Frantlović, Miloš
AU  - Jakšić, Zoran
AU  - Guha, Koushik
AU  - Rao, Karumuri Srinivasa
PY  - 2020
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/4024
AB  - The importance of adsorption-based biochemical/biological sensors in biochemistry and biophysics is paramount. Their temporal response gives information about the presence of a biochemical/biological analyte, its concentration and its interactions with the adsorption sites (which may be an integral part of the surface itself or immobilized functionalizing molecules). Mathematical models of the temporal response taking into account as many relevant effects as possible are essential for obtaining reliable information. We present a novel model taking into account the bimodal affinity of a sensing surface (adsorption occurs on two distinct site types), and the adsorption-caused depletion of the analyte from the sample. We perform qualitative and quantitative analysis of the analyte depletion influence on the bimodal adsorption, and of the influence of the sensing surface inhomogeneity on the sensor temporal response, for different analyte concentrations and different fractions of two types of adsorption sites. Since the presented mathematical model deals with the realistic cases of the sensing surface non-uniformity and the finite amount of analyte present in the sensor reaction chamber, it enables improved accuracy in interpreting the measurement data. Our results are general, i.e. valid for any adsorption sensor (microcantilevers, plasmonics) and for arbitrary sensor dimensions.
PB  - Springer
T2  - Microsystem Technologies
T1  - Temporal response of biochemical and biological sensors with bimodal surface adsorption from a finite sample
DO  - 10.1007/s00542-020-05051-w
ER  - 

@article{
author = "Jokić, Ivana and Jakšić, Olga and Frantlović, Miloš and Jakšić, Zoran and Guha, Koushik and Rao, Karumuri Srinivasa",
year = "2020",
abstract = "The importance of adsorption-based biochemical/biological sensors in biochemistry and biophysics is paramount. Their temporal response gives information about the presence of a biochemical/biological analyte, its concentration and its interactions with the adsorption sites (which may be an integral part of the surface itself or immobilized functionalizing molecules). Mathematical models of the temporal response taking into account as many relevant effects as possible are essential for obtaining reliable information. We present a novel model taking into account the bimodal affinity of a sensing surface (adsorption occurs on two distinct site types), and the adsorption-caused depletion of the analyte from the sample. We perform qualitative and quantitative analysis of the analyte depletion influence on the bimodal adsorption, and of the influence of the sensing surface inhomogeneity on the sensor temporal response, for different analyte concentrations and different fractions of two types of adsorption sites. Since the presented mathematical model deals with the realistic cases of the sensing surface non-uniformity and the finite amount of analyte present in the sensor reaction chamber, it enables improved accuracy in interpreting the measurement data. Our results are general, i.e. valid for any adsorption sensor (microcantilevers, plasmonics) and for arbitrary sensor dimensions.",
publisher = "Springer",
journal = "Microsystem Technologies",
title = "Temporal response of biochemical and biological sensors with bimodal surface adsorption from a finite sample",
doi = "10.1007/s00542-020-05051-w"
}

Jokić, I., Jakšić, O., Frantlović, M., Jakšić, Z., Guha, K.,& Rao, K. S.. (2020). Temporal response of biochemical and biological sensors with bimodal surface adsorption from a finite sample. in Microsystem Technologies
Springer..
https://doi.org/10.1007/s00542-020-05051-w

Jokić I, Jakšić O, Frantlović M, Jakšić Z, Guha K, Rao KS. Temporal response of biochemical and biological sensors with bimodal surface adsorption from a finite sample. in Microsystem Technologies. 2020;.
doi:10.1007/s00542-020-05051-w .

Jokić, Ivana, Jakšić, Olga, Frantlović, Miloš, Jakšić, Zoran, Guha, Koushik, Rao, Karumuri Srinivasa, "Temporal response of biochemical and biological sensors with bimodal surface adsorption from a finite sample" in Microsystem Technologies (2020),
https://doi.org/10.1007/s00542-020-05051-w . .

TY  - CONF
AU  - Frantlović, Miloš
AU  - Randjelović, Danijela
AU  - Sarajlić, Milija
AU  - Poljak, Predrag
AU  - Jokić, Ivana
AU  - Tanasković, Dragan
AU  - Vorkapić, Miloš
PY  - 2020
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/3923
AB  - Several types of MEMS and thin-film based sensors have been developed at the Institute of Chemistry,
Technology and Metallurgy (ICTM), including piezoresistive pressure sensors, a multipurpose thermal sensor, and an
adsorption-based mercury vapor sensor. In this paper, we present the concept of a portable electronic instrument that
can be used with different combinations of pressure, thermal and/or mercury sensors. Such an instrument is highly
configurable, thus enabling various measurements to be performed in different applications, from industrial plants to
environmental monitoring. Since the mentioned sensors have different requirements in terms of sensor excitation, as
well as different ranges of their output signals, the design of the instrument is a demanding task. Additional design
requirements are related to the portability of the instrument, including the overall dimensions, power source and
consumption, and communication methods. One of the possible directions of further development is the design of a
rugged version of the instrument, intended for harsh environments.
PB  - The Military Technical Institute, Belgrade, Serbia
C3  - 9th International Scientific Conference on Defensive Technologies, OTEH 2020, October 15-16, Belgrade, Serbia
T1  - The concept of portable multifunctional measurement instrument based on ICTM sensors
SP  - 248
EP  - 251
UR  - https://hdl.handle.net/21.15107/rcub_cer_3923
ER  - 

@conference{
author = "Frantlović, Miloš and Randjelović, Danijela and Sarajlić, Milija and Poljak, Predrag and Jokić, Ivana and Tanasković, Dragan and Vorkapić, Miloš",
year = "2020",
abstract = "Several types of MEMS and thin-film based sensors have been developed at the Institute of Chemistry,
Technology and Metallurgy (ICTM), including piezoresistive pressure sensors, a multipurpose thermal sensor, and an
adsorption-based mercury vapor sensor. In this paper, we present the concept of a portable electronic instrument that
can be used with different combinations of pressure, thermal and/or mercury sensors. Such an instrument is highly
configurable, thus enabling various measurements to be performed in different applications, from industrial plants to
environmental monitoring. Since the mentioned sensors have different requirements in terms of sensor excitation, as
well as different ranges of their output signals, the design of the instrument is a demanding task. Additional design
requirements are related to the portability of the instrument, including the overall dimensions, power source and
consumption, and communication methods. One of the possible directions of further development is the design of a
rugged version of the instrument, intended for harsh environments.",
publisher = "The Military Technical Institute, Belgrade, Serbia",
journal = "9th International Scientific Conference on Defensive Technologies, OTEH 2020, October 15-16, Belgrade, Serbia",
title = "The concept of portable multifunctional measurement instrument based on ICTM sensors",
pages = "248-251",
url = "https://hdl.handle.net/21.15107/rcub_cer_3923"
}

Frantlović, M., Randjelović, D., Sarajlić, M., Poljak, P., Jokić, I., Tanasković, D.,& Vorkapić, M.. (2020). The concept of portable multifunctional measurement instrument based on ICTM sensors. in 9th International Scientific Conference on Defensive Technologies, OTEH 2020, October 15-16, Belgrade, Serbia
The Military Technical Institute, Belgrade, Serbia., 248-251.
https://hdl.handle.net/21.15107/rcub_cer_3923

Frantlović M, Randjelović D, Sarajlić M, Poljak P, Jokić I, Tanasković D, Vorkapić M. The concept of portable multifunctional measurement instrument based on ICTM sensors. in 9th International Scientific Conference on Defensive Technologies, OTEH 2020, October 15-16, Belgrade, Serbia. 2020;:248-251.
https://hdl.handle.net/21.15107/rcub_cer_3923 .

Frantlović, Miloš, Randjelović, Danijela, Sarajlić, Milija, Poljak, Predrag, Jokić, Ivana, Tanasković, Dragan, Vorkapić, Miloš, "The concept of portable multifunctional measurement instrument based on ICTM sensors" in 9th International Scientific Conference on Defensive Technologies, OTEH 2020, October 15-16, Belgrade, Serbia (2020):248-251,
https://hdl.handle.net/21.15107/rcub_cer_3923 .

TY  - JOUR
AU  - Đurić, Zoran G.
AU  - Jokić, Ivana
PY  - 2020
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/3515
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
SP  - 230
DO  - 10.1007/s11082-020-02342-4
ER  - 

@article{
author = "Đurić, Zoran G. and Jokić, Ivana",
year = "2020",
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",
pages = "230",
doi = "10.1007/s11082-020-02342-4"
}

Đurić, Z. G.,& Jokić, I.. (2020). Ideal efficiency of resonant cavity-enhanced perovskite solar cells. in Optical and Quantum Electronics
Springer Science and Business Media LLC., 52(5), 230.
https://doi.org/10.1007/s11082-020-02342-4

Đurić ZG, Jokić I. Ideal efficiency of resonant cavity-enhanced perovskite solar cells. in Optical and Quantum Electronics. 2020;52(5):230.
doi:10.1007/s11082-020-02342-4 .

Đurić, Zoran G., Jokić, Ivana, "Ideal efficiency of resonant cavity-enhanced perovskite solar cells" in Optical and Quantum Electronics, 52, no. 5 (2020):230,
https://doi.org/10.1007/s11082-020-02342-4 . .

TY  - JOUR
AU  - Đurić, Zoran G.
AU  - Jokić, Ivana
PY  - 2020
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/4865
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
SP  - 230
DO  - 10.1007/s11082-020-02342-4
ER  - 

@article{
author = "Đurić, Zoran G. and Jokić, Ivana",
year = "2020",
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",
pages = "230",
doi = "10.1007/s11082-020-02342-4"
}

Đurić, Z. G.,& Jokić, I.. (2020). Ideal efficiency of resonant cavity-enhanced perovskite solar cells. in Optical and Quantum Electronics
Springer Science and Business Media LLC., 52(5), 230.
https://doi.org/10.1007/s11082-020-02342-4

Đurić ZG, Jokić I. Ideal efficiency of resonant cavity-enhanced perovskite solar cells. in Optical and Quantum Electronics. 2020;52(5):230.
doi:10.1007/s11082-020-02342-4 .

Đurić, Zoran G., Jokić, Ivana, "Ideal efficiency of resonant cavity-enhanced perovskite solar cells" in Optical and Quantum Electronics, 52, no. 5 (2020):230,
https://doi.org/10.1007/s11082-020-02342-4 . .

TY  - JOUR
AU  - Jakšić, Olga
AU  - Jokić, Ivana
AU  - Jakšić, Zoran
AU  - Mladenović, Ivana
AU  - Radulović, Katarina
AU  - Frantlović, Miloš
PY  - 2020
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/3493
AB  - In order to allow for multiscale modeling of complex systems we focus on various approaches to modeling binary adsorption. We consider multiple methods of  modeling the temporal response of general plasmonic sensors. We start from the analytical approach. The kinetics of adsorption and desorption is modeled both as a first order reaction and as a second order reaction. The criteria for their validity and the choice between them in the case of two-component adsorption are established. Due to the nonlinearities of the second order reactions and the lack of their analytical solutions, computer aided modeling is considered next, also in multiple ways: the employment of numerical solvers, fitting of experimental results, the stochastic simulation algorithms and the employment of artificial neural networks (ANN). The examples we present illustrate the advantages and disadvantages of the particular approaches. The goal is to aid the concurrent multiscale modeling of adsorption-based devices. Machine learning in ANN performed here is used to estimate the equilibrium values of adsorbed quantities. The obtained results show that to train an ANN for the estimation of the equilibrium adsorption quantities the Levenberg-Marquardt and the Bayesian regularization algorithms are less efficient than the quasi-Newton BFGS (Broyden-Fletcher-Goldfarb-Shanno) algorithm.
PB  - Springer Nature
T2  - Applied Physics A
T1  - The time response of plasmonic sensors due to binary adsorption: analytical versus numerical modeling
VL  - 126
SP  - 342
DO  - 10.1007/s00339-020-03524-3
ER  - 

@article{
author = "Jakšić, Olga and Jokić, Ivana and Jakšić, Zoran and Mladenović, Ivana and Radulović, Katarina and Frantlović, Miloš",
year = "2020",
abstract = "In order to allow for multiscale modeling of complex systems we focus on various approaches to modeling binary adsorption. We consider multiple methods of  modeling the temporal response of general plasmonic sensors. We start from the analytical approach. The kinetics of adsorption and desorption is modeled both as a first order reaction and as a second order reaction. The criteria for their validity and the choice between them in the case of two-component adsorption are established. Due to the nonlinearities of the second order reactions and the lack of their analytical solutions, computer aided modeling is considered next, also in multiple ways: the employment of numerical solvers, fitting of experimental results, the stochastic simulation algorithms and the employment of artificial neural networks (ANN). The examples we present illustrate the advantages and disadvantages of the particular approaches. The goal is to aid the concurrent multiscale modeling of adsorption-based devices. Machine learning in ANN performed here is used to estimate the equilibrium values of adsorbed quantities. The obtained results show that to train an ANN for the estimation of the equilibrium adsorption quantities the Levenberg-Marquardt and the Bayesian regularization algorithms are less efficient than the quasi-Newton BFGS (Broyden-Fletcher-Goldfarb-Shanno) algorithm.",
publisher = "Springer Nature",
journal = "Applied Physics A",
title = "The time response of plasmonic sensors due to binary adsorption: analytical versus numerical modeling",
volume = "126",
pages = "342",
doi = "10.1007/s00339-020-03524-3"
}

Jakšić, O., Jokić, I., Jakšić, Z., Mladenović, I., Radulović, K.,& Frantlović, M.. (2020). The time response of plasmonic sensors due to binary adsorption: analytical versus numerical modeling. in Applied Physics A
Springer Nature., 126, 342.
https://doi.org/10.1007/s00339-020-03524-3

Jakšić O, Jokić I, Jakšić Z, Mladenović I, Radulović K, Frantlović M. The time response of plasmonic sensors due to binary adsorption: analytical versus numerical modeling. in Applied Physics A. 2020;126:342.
doi:10.1007/s00339-020-03524-3 .

Jakšić, Olga, Jokić, Ivana, Jakšić, Zoran, Mladenović, Ivana, Radulović, Katarina, Frantlović, Miloš, "The time response of plasmonic sensors due to binary adsorption: analytical versus numerical modeling" in Applied Physics A, 126 (2020):342,
https://doi.org/10.1007/s00339-020-03524-3 . .

TY  - JOUR
AU  - Jakšić, Olga
AU  - Jokić, Ivana
AU  - Jakšić, Zoran
AU  - Mladenović, Ivana
AU  - Radulović, Katarina
AU  - Frantlović, Miloš
PY  - 2020
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/3494
AB  - In order to allow for multiscale modeling of complex systems we focus on various approaches to modeling binary adsorption. We consider multiple methods of  modeling the temporal response of general plasmonic sensors. We start from the analytical approach. The kinetics of adsorption and desorption is modeled both as a first order reaction and as a second order reaction. The criteria for their validity and the choice between them in the case of two-component adsorption are established. Due to the nonlinearities of the second order reactions and the lack of their analytical solutions, computer aided modeling is considered next, also in multiple ways: the employment of numerical solvers, fitting of experimental results, the stochastic simulation algorithms and the employment of artificial neural networks (ANN). The examples we present illustrate the advantages and disadvantages of the particular approaches. The goal is to aid the concurrent multiscale modeling of adsorption-based devices. Machine learning in ANN performed here is used to estimate the equilibrium values of adsorbed quantities. The obtained results show that to train an ANN for the estimation of the equilibrium adsorption quantities the Levenberg-Marquardt and the Bayesian regularization algorithms are less efficient than the quasi-Newton BFGS (Broyden-Fletcher-Goldfarb-Shanno) algorithm.
PB  - Springer Nature
T2  - Applied Physics A
T1  - The time response of plasmonic sensors due to binary adsorption: analytical versus numerical modeling
VL  - 126
SP  - 342
DO  - 10.1007/s00339-020-03524-3
ER  - 

@article{
author = "Jakšić, Olga and Jokić, Ivana and Jakšić, Zoran and Mladenović, Ivana and Radulović, Katarina and Frantlović, Miloš",
year = "2020",
abstract = "In order to allow for multiscale modeling of complex systems we focus on various approaches to modeling binary adsorption. We consider multiple methods of  modeling the temporal response of general plasmonic sensors. We start from the analytical approach. The kinetics of adsorption and desorption is modeled both as a first order reaction and as a second order reaction. The criteria for their validity and the choice between them in the case of two-component adsorption are established. Due to the nonlinearities of the second order reactions and the lack of their analytical solutions, computer aided modeling is considered next, also in multiple ways: the employment of numerical solvers, fitting of experimental results, the stochastic simulation algorithms and the employment of artificial neural networks (ANN). The examples we present illustrate the advantages and disadvantages of the particular approaches. The goal is to aid the concurrent multiscale modeling of adsorption-based devices. Machine learning in ANN performed here is used to estimate the equilibrium values of adsorbed quantities. The obtained results show that to train an ANN for the estimation of the equilibrium adsorption quantities the Levenberg-Marquardt and the Bayesian regularization algorithms are less efficient than the quasi-Newton BFGS (Broyden-Fletcher-Goldfarb-Shanno) algorithm.",
publisher = "Springer Nature",
journal = "Applied Physics A",
title = "The time response of plasmonic sensors due to binary adsorption: analytical versus numerical modeling",
volume = "126",
pages = "342",
doi = "10.1007/s00339-020-03524-3"
}

Jakšić, O., Jokić, I., Jakšić, Z., Mladenović, I., Radulović, K.,& Frantlović, M.. (2020). The time response of plasmonic sensors due to binary adsorption: analytical versus numerical modeling. in Applied Physics A
Springer Nature., 126, 342.
https://doi.org/10.1007/s00339-020-03524-3

Jakšić O, Jokić I, Jakšić Z, Mladenović I, Radulović K, Frantlović M. The time response of plasmonic sensors due to binary adsorption: analytical versus numerical modeling. in Applied Physics A. 2020;126:342.
doi:10.1007/s00339-020-03524-3 .

Jakšić, Olga, Jokić, Ivana, Jakšić, Zoran, Mladenović, Ivana, Radulović, Katarina, Frantlović, Miloš, "The time response of plasmonic sensors due to binary adsorption: analytical versus numerical modeling" in Applied Physics A, 126 (2020):342,
https://doi.org/10.1007/s00339-020-03524-3 . .

TY  - GEN
AU  - Poljak, Predrag
AU  - Frantlović, Miloš
AU  - Smiljanić, Milče M.
AU  - Lazić, Žarko
AU  - Jokić, Ivana
AU  - Randjelović, Danijela
AU  - Jakšić, Olga
AU  - Tanasković, Dragan
AU  - Vasiljević-Radović, Dana
PY  - 2019
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/3986
AB  - Ово техничко решење обухвата хардверско-софтверски систем који омогућује
аутоматско спровођење карактеризације већег броја силицијумских пиезоотпорних
МЕМС сензора притиска истовремено. Користи се за одређивање зависности
електричних параметара таквих сензора од притиска и температуре. Апаратура, поред
комерцијално доступне, обухвата опрему развијену у Центру за микроелектронске
технологије (ИХТМ–ЦМТ), а софтверска апликација која служи за управљање
процесом је у потпуности развијена у ИХТМ–ЦМТ.
PB  - Belgrade : University of Belgrade - Institute of Chemistry, Technology and Metallurgy
T1  - Апаратура за аутоматску карактеризацију силицијумских пиезоотпорних МЕМС сензора притиска
UR  - https://hdl.handle.net/21.15107/rcub_cer_3986
ER  - 

@misc{
author = "Poljak, Predrag and Frantlović, Miloš and Smiljanić, Milče M. and Lazić, Žarko and Jokić, Ivana and Randjelović, Danijela and Jakšić, Olga and Tanasković, Dragan and Vasiljević-Radović, Dana",
year = "2019",
abstract = "Ово техничко решење обухвата хардверско-софтверски систем који омогућује
аутоматско спровођење карактеризације већег броја силицијумских пиезоотпорних
МЕМС сензора притиска истовремено. Користи се за одређивање зависности
електричних параметара таквих сензора од притиска и температуре. Апаратура, поред
комерцијално доступне, обухвата опрему развијену у Центру за микроелектронске
технологије (ИХТМ–ЦМТ), а софтверска апликација која служи за управљање
процесом је у потпуности развијена у ИХТМ–ЦМТ.",
publisher = "Belgrade : University of Belgrade - Institute of Chemistry, Technology and Metallurgy",
title = "Апаратура за аутоматску карактеризацију силицијумских пиезоотпорних МЕМС сензора притиска",
url = "https://hdl.handle.net/21.15107/rcub_cer_3986"
}

Poljak, P., Frantlović, M., Smiljanić, M. M., Lazić, Ž., Jokić, I., Randjelović, D., Jakšić, O., Tanasković, D.,& Vasiljević-Radović, D.. (2019). Апаратура за аутоматску карактеризацију силицијумских пиезоотпорних МЕМС сензора притиска. 
Belgrade : University of Belgrade - Institute of Chemistry, Technology and Metallurgy..
https://hdl.handle.net/21.15107/rcub_cer_3986

Poljak P, Frantlović M, Smiljanić MM, Lazić Ž, Jokić I, Randjelović D, Jakšić O, Tanasković D, Vasiljević-Radović D. Апаратура за аутоматску карактеризацију силицијумских пиезоотпорних МЕМС сензора притиска. 2019;.
https://hdl.handle.net/21.15107/rcub_cer_3986 .

Poljak, Predrag, Frantlović, Miloš, Smiljanić, Milče M., Lazić, Žarko, Jokić, Ivana, Randjelović, Danijela, Jakšić, Olga, Tanasković, Dragan, Vasiljević-Radović, Dana, "Апаратура за аутоматску карактеризацију силицијумских пиезоотпорних МЕМС сензора притиска" (2019),
https://hdl.handle.net/21.15107/rcub_cer_3986 .

TY  - CONF
AU  - Jokić, Ivana
AU  - Đurić, Zoran G.
AU  - Radulović, Katarina
AU  - Frantlović, Miloš
AU  - Krstajić, Predrag
PY  - 2019
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/3256
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",
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. 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

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 .

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 . .

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
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/3326
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
PY  - 2019
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/4866
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",
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. 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

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 .

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 . .

TY  - CONF
AU  - Jakšić, Olga
AU  - Jokić, Ivana
AU  - Jakšić, Zoran
AU  - Obradov, Marko
AU  - Tanasković, Dragan
AU  - Randjelović, Danijela
AU  - Vasiljević-Radović, Dana
PY  - 2019
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/3239
AB  - We address noise and stability of adsorptionbased sensing of ternary gas mixtures in affinity-based MEMS, NEMS and NOEMS sensors. We investigate mechanisms of such chemical sensing in diverse industrial environments where ternary gas mixtures are of importance. In all existing sensing devices signal fluctuations determine their ultimate performance, and in affinity-based nanodevices the prevailing noise is caused by adsorption and desorption of different species at the sensor surface. We consider analytically and numerically detection of three-component gas mixtures. We present results obtained by applying the conventional method for assessing stability of chemical reactions to three component monolayer adsorption. Gas molecules modeling as spherical particles is suitable for applying any model regarding population dynamics, but taking molecular dimension and orientation into account is more realistic. Noise analysis in time and frequency domain is performed for two different classes of ultrahigh sensitivity adsorption based gas sensors: (nano) plasmonic sensors (refractometric devices) and MEMS/NEMS resonator-based devices.
PB  - Institute of Electrical and Electronics Engineers (IEEE)
C3  - 2019 IEEE 31st International Conference on Microelectronics, MIEL 2019 - Proceedings
T1  - Modeling Noise and Stability of Affinity-Based MEMS, NEMS and NOEMS Sensors of Ternary Gas Mixtures
SP  - 165
EP  - 168
DO  - 10.1109/MIEL.2019.8889577
ER  - 

@conference{
author = "Jakšić, Olga and Jokić, Ivana and Jakšić, Zoran and Obradov, Marko and Tanasković, Dragan and Randjelović, Danijela and Vasiljević-Radović, Dana",
year = "2019",
abstract = "We address noise and stability of adsorptionbased sensing of ternary gas mixtures in affinity-based MEMS, NEMS and NOEMS sensors. We investigate mechanisms of such chemical sensing in diverse industrial environments where ternary gas mixtures are of importance. In all existing sensing devices signal fluctuations determine their ultimate performance, and in affinity-based nanodevices the prevailing noise is caused by adsorption and desorption of different species at the sensor surface. We consider analytically and numerically detection of three-component gas mixtures. We present results obtained by applying the conventional method for assessing stability of chemical reactions to three component monolayer adsorption. Gas molecules modeling as spherical particles is suitable for applying any model regarding population dynamics, but taking molecular dimension and orientation into account is more realistic. Noise analysis in time and frequency domain is performed for two different classes of ultrahigh sensitivity adsorption based gas sensors: (nano) plasmonic sensors (refractometric devices) and MEMS/NEMS resonator-based devices.",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
journal = "2019 IEEE 31st International Conference on Microelectronics, MIEL 2019 - Proceedings",
title = "Modeling Noise and Stability of Affinity-Based MEMS, NEMS and NOEMS Sensors of Ternary Gas Mixtures",
pages = "165-168",
doi = "10.1109/MIEL.2019.8889577"
}

Jakšić, O., Jokić, I., Jakšić, Z., Obradov, M., Tanasković, D., Randjelović, D.,& Vasiljević-Radović, D.. (2019). Modeling Noise and Stability of Affinity-Based MEMS, NEMS and NOEMS Sensors of Ternary Gas Mixtures. in 2019 IEEE 31st International Conference on Microelectronics, MIEL 2019 - Proceedings
Institute of Electrical and Electronics Engineers (IEEE)., 165-168.
https://doi.org/10.1109/MIEL.2019.8889577

Jakšić O, Jokić I, Jakšić Z, Obradov M, Tanasković D, Randjelović D, Vasiljević-Radović D. Modeling Noise and Stability of Affinity-Based MEMS, NEMS and NOEMS Sensors of Ternary Gas Mixtures. in 2019 IEEE 31st International Conference on Microelectronics, MIEL 2019 - Proceedings. 2019;:165-168.
doi:10.1109/MIEL.2019.8889577 .

Jakšić, Olga, Jokić, Ivana, Jakšić, Zoran, Obradov, Marko, Tanasković, Dragan, Randjelović, Danijela, Vasiljević-Radović, Dana, "Modeling Noise and Stability of Affinity-Based MEMS, NEMS and NOEMS Sensors of Ternary Gas Mixtures" in 2019 IEEE 31st International Conference on Microelectronics, MIEL 2019 - Proceedings (2019):165-168,
https://doi.org/10.1109/MIEL.2019.8889577 . .

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
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/2859
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  - CONF
AU  - Jokić, Ivana
AU  - Radulović, Katarina
AU  - Frantlović, Miloš
AU  - Đurić, Zoran
AU  - Krstajić, Predrag
PY  - 2018
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/5709
AB  - We analyze the time response of MEMS/NEMS sensors of chemical and biological agents and its noise, by using two mathematical models. One of them is commonly used in the literature on MEMS/NEMS adsorption-based chemical and biological sensors, while the other one, which is more elaborate, and takes into account additional relevant physical processes, has been developed by us. We also investigate the limits of applicability of the two models as a function of the target substance concentration, especially having in mind the decrease of the minimal detectable concentration in the new sensor generation.
PB  - Belgrade : The Military Technical Institute
C3  - Proceedings - 8th International Scientific Conference of Defensive Technologies, OTEH 2018, 11-12.10.2018, Belgrade
T1  - MEMS/NEMS sensors of chemical and biological agents: applicability of different models for stedy-state analysis of sensor time response and noise
UR  - https://hdl.handle.net/21.15107/rcub_cer_5709
ER  - 

@conference{
author = "Jokić, Ivana and Radulović, Katarina and Frantlović, Miloš and Đurić, Zoran and Krstajić, Predrag",
year = "2018",
abstract = "We analyze the time response of MEMS/NEMS sensors of chemical and biological agents and its noise, by using two mathematical models. One of them is commonly used in the literature on MEMS/NEMS adsorption-based chemical and biological sensors, while the other one, which is more elaborate, and takes into account additional relevant physical processes, has been developed by us. We also investigate the limits of applicability of the two models as a function of the target substance concentration, especially having in mind the decrease of the minimal detectable concentration in the new sensor generation.",
publisher = "Belgrade : The Military Technical Institute",
journal = "Proceedings - 8th International Scientific Conference of Defensive Technologies, OTEH 2018, 11-12.10.2018, Belgrade",
title = "MEMS/NEMS sensors of chemical and biological agents: applicability of different models for stedy-state analysis of sensor time response and noise",
url = "https://hdl.handle.net/21.15107/rcub_cer_5709"
}

Jokić, I., Radulović, K., Frantlović, M., Đurić, Z.,& Krstajić, P.. (2018). MEMS/NEMS sensors of chemical and biological agents: applicability of different models for stedy-state analysis of sensor time response and noise. in Proceedings - 8th International Scientific Conference of Defensive Technologies, OTEH 2018, 11-12.10.2018, Belgrade
Belgrade : The Military Technical Institute..
https://hdl.handle.net/21.15107/rcub_cer_5709

Jokić I, Radulović K, Frantlović M, Đurić Z, Krstajić P. MEMS/NEMS sensors of chemical and biological agents: applicability of different models for stedy-state analysis of sensor time response and noise. in Proceedings - 8th International Scientific Conference of Defensive Technologies, OTEH 2018, 11-12.10.2018, Belgrade. 2018;.
https://hdl.handle.net/21.15107/rcub_cer_5709 .

Jokić, Ivana, Radulović, Katarina, Frantlović, Miloš, Đurić, Zoran, Krstajić, Predrag, "MEMS/NEMS sensors of chemical and biological agents: applicability of different models for stedy-state analysis of sensor time response and noise" in Proceedings - 8th International Scientific Conference of Defensive Technologies, OTEH 2018, 11-12.10.2018, Belgrade (2018),
https://hdl.handle.net/21.15107/rcub_cer_5709 .

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
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/2607
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  - 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
VL  - 2
IS  - 13
SP  - 991
DO  - 10.3390/proceedings2130991
ER  - 

@conference{
author = "Jokić, Ivana and Đurić, Zoran G. and Radulović, Katarina and Frantlović, Miloš",
year = "2018",
abstract = "A model of stochastic time response of adsorption-based microfluidic biosensors is presented, that considers the competitive adsorption-desorption process coupled with mass transfer of two analytes. By using the model we analyze the expected value of the adsorbed particles number of each analyte, which determine the sensor response kinetics. The comparison with the case when only one analyte exists is used for investigation of the influence of competitive adsorption on the sensor response. The response kinetics analyzed by using the stochastic model is compared with the kinetics predicted by the deterministic response model. The results are useful for optimization of micro/nanosensors intended for detection of substances in ultra-low concentrations in complex samples.",
publisher = "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",
volume = "2",
number = "13",
pages = "991",
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. in Proceedings, Volume 2, Eurosensors 2018
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. in Proceedings, Volume 2, Eurosensors 2018. 2018;2(13):991.
doi:10.3390/proceedings2130991 .

Jokić, Ivana, Đurić, Zoran G., Radulović, Katarina, Frantlović, Miloš, "Analysis of Stochastic Time Response of Microfluidic Biosensors in the Case of Competitive Adsorption of Two Analytes" in Proceedings, Volume 2, Eurosensors 2018, 2, no. 13 (2018):991,
https://doi.org/10.3390/proceedings2130991 . .

TY  - CONF
AU  - Jokić, Ivana
AU  - Đurić, Zoran G.
AU  - Radulović, Katarina
AU  - Frantlović, Miloš
PY  - 2018
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/2419
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.
C3  - Materials Today-Proceedings
T1  - Deterministic versus Stochastic Analysis of Competitive Adsorption in Equilibrium in Microfluidic Biosensors
VL  - 5
IS  - 8
SP  - 16006
EP  - 16011
DO  - 10.1016/j.matpr.2018.05.045
ER  - 

@conference{
author = "Jokić, Ivana and Đurić, Zoran G. and Radulović, Katarina and Frantlović, Miloš",
year = "2018",
abstract = "We investigate the stochastic sensor response in equilibrium, taking into account competitive adsorption and mass transfer of analyte particles in a microfluidic biosensor chamber. After presentation of the stochastic model, we perform the analysis of the equilibrium response expected value as a function of the sensing area and the competitor molecules concentrations. By comparison with the deterministic value of the sensor response, the limits of applicability of the deterministic approach are investigated. The results of the presented analysis enable better interpretation of measurement results obtained by using sensors with micro/nanoscale sensing surface, as well as optimization of their design and operating conditions.",
journal = "Materials Today-Proceedings",
title = "Deterministic versus Stochastic Analysis of Competitive Adsorption in Equilibrium in Microfluidic Biosensors",
volume = "5",
number = "8",
pages = "16006-16011",
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. in Materials Today-Proceedings, 5(8), 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. in Materials Today-Proceedings. 2018;5(8):16006-16011.
doi:10.1016/j.matpr.2018.05.045 .

Jokić, Ivana, Đurić, Zoran G., Radulović, Katarina, Frantlović, Miloš, "Deterministic versus Stochastic Analysis of Competitive Adsorption in Equilibrium in Microfluidic Biosensors" in Materials Today-Proceedings, 5, no. 8 (2018):16006-16011,
https://doi.org/10.1016/j.matpr.2018.05.045 . .

TY  - CONF
AU  - Jokić, Ivana
AU  - Đurić, Zoran
AU  - Radulović, Katarina
AU  - Frantlović, Miloš
AU  - Cvetanović-Zobenica, Katarina
PY  - 2017
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/5729
AB  - After a review of a deterministic model of time response of microfluidic adsorption-based chemical and biological sensors, we present an approximate model for efficient analysis of stochastic response, which takes into account a random AD process coupled with convection and diffusion of target substance particles. Subsequently, we present the results obtained by the comparison of the two response models (deterministic and stochastic) used for sensors with different micro/nanoscale active surfaces, and intended for detection of substances present in different concentrations. In this way we can distinguish the cases in which the use of the deterministic model is justified from those in which the use of the stochastic model is necessary. The presented findings enable more accurate interpretation of measurement results obtained by using sensors with micro/nanoscale active surface, as well as optimization of their design.
PB  - Beograd : Društvo za ETRAN / Belgrade : ETRAN Society
C3  - Proceedings - 4th International Conference on Electrical, Electronics and Computing Engineering (IcETRAN 2017), June 5 - 8, 2017, Kladovo, Serbia
T1  - Analysis of the Time Response of Chemical and Biological Microfluidic Sensors with a Micro/Nanoscale Active Surface
SP  - MOI1.4.1
EP  - MOI1.4.6
UR  - https://hdl.handle.net/21.15107/rcub_cer_5729
ER  - 

@conference{
author = "Jokić, Ivana and Đurić, Zoran and Radulović, Katarina and Frantlović, Miloš and Cvetanović-Zobenica, Katarina",
year = "2017",
abstract = "After a review of a deterministic model of time response of microfluidic adsorption-based chemical and biological sensors, we present an approximate model for efficient analysis of stochastic response, which takes into account a random AD process coupled with convection and diffusion of target substance particles. Subsequently, we present the results obtained by the comparison of the two response models (deterministic and stochastic) used for sensors with different micro/nanoscale active surfaces, and intended for detection of substances present in different concentrations. In this way we can distinguish the cases in which the use of the deterministic model is justified from those in which the use of the stochastic model is necessary. The presented findings enable more accurate interpretation of measurement results obtained by using sensors with micro/nanoscale active surface, as well as optimization of their design.",
publisher = "Beograd : Društvo za ETRAN / Belgrade : ETRAN Society",
journal = "Proceedings - 4th International Conference on Electrical, Electronics and Computing Engineering (IcETRAN 2017), June 5 - 8, 2017, Kladovo, Serbia",
title = "Analysis of the Time Response of Chemical and Biological Microfluidic Sensors with a Micro/Nanoscale Active Surface",
pages = "MOI1.4.1-MOI1.4.6",
url = "https://hdl.handle.net/21.15107/rcub_cer_5729"
}

Jokić, I., Đurić, Z., Radulović, K., Frantlović, M.,& Cvetanović-Zobenica, K.. (2017). Analysis of the Time Response of Chemical and Biological Microfluidic Sensors with a Micro/Nanoscale Active Surface. in Proceedings - 4th International Conference on Electrical, Electronics and Computing Engineering (IcETRAN 2017), June 5 - 8, 2017, Kladovo, Serbia
Beograd : Društvo za ETRAN / Belgrade : ETRAN Society., MOI1.4.1-MOI1.4.6.
https://hdl.handle.net/21.15107/rcub_cer_5729

Jokić I, Đurić Z, Radulović K, Frantlović M, Cvetanović-Zobenica K. Analysis of the Time Response of Chemical and Biological Microfluidic Sensors with a Micro/Nanoscale Active Surface. in Proceedings - 4th International Conference on Electrical, Electronics and Computing Engineering (IcETRAN 2017), June 5 - 8, 2017, Kladovo, Serbia. 2017;:MOI1.4.1-MOI1.4.6.
https://hdl.handle.net/21.15107/rcub_cer_5729 .

Jokić, Ivana, Đurić, Zoran, Radulović, Katarina, Frantlović, Miloš, Cvetanović-Zobenica, Katarina, "Analysis of the Time Response of Chemical and Biological Microfluidic Sensors with a Micro/Nanoscale Active Surface" in Proceedings - 4th International Conference on Electrical, Electronics and Computing Engineering (IcETRAN 2017), June 5 - 8, 2017, Kladovo, Serbia (2017):MOI1.4.1-MOI1.4.6,
https://hdl.handle.net/21.15107/rcub_cer_5729 .

TY  - CONF
AU  - Jokić, Ivana
AU  - Đurić, Zoran G.
AU  - Radulović, Katarina
AU  - Frantlović, Miloš
PY  - 2017
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/2101
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  - Institute of Electrical and Electronics Engineers Inc.
C3  - Proceedings of the International Conference on Microelectronics, ICM
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",
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 = "Institute of Electrical and Electronics Engineers Inc.",
journal = "Proceedings of the International Conference on Microelectronics, ICM",
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. in Proceedings of the International Conference on Microelectronics, ICM
Institute of Electrical and Electronics Engineers Inc.., 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. in Proceedings of the International Conference on Microelectronics, ICM. 2017;:127-130.
doi:10.1109/MIEL.2017.8190084 .

Jokić, Ivana, Đurić, Zoran G., Radulović, Katarina, Frantlović, Miloš, "Stochastic Time Response of Adsorption-based Micro/Nanobiosensors with a Fluidic Reaction Chamber: the Influence of Mass Transfer" in Proceedings of the International Conference on Microelectronics, ICM (2017):127-130,
https://doi.org/10.1109/MIEL.2017.8190084 . .

TY  - CONF
AU  - Frantlović, Miloš
AU  - Poljak, Predrag
AU  - Jokić, Ivana
AU  - Randjelović, Danijela
AU  - Vasiljević-Radović, Dana
PY  - 2017
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/2103
AB  - In this paper we present the concept of a compact intelligent industrial pressure transmitter developed at the Center of Microelectronic Technologies (CMT), and discuss some of the most important steps in its design process. First the constraints of the design are defined, and then the decisions are made in order to fulfill the design objectives in an optimal way, which is made possible by using the latest available technology. Especially important for this design are mixed signal circuits, and the focus is on the digital-to-analog circuitry that generates the transmitter's analog output signal. Several solutions are considered and compared, and the chosen one is further investigated, including the experimental characterization of the output current error across the operating temperature range. Apart from industrial transmitters, the results of the work can be significant for other kinds of electronic instrumentation.
PB  - Institute of Electrical and Electronics Engineers Inc.
C3  - Proceedings of the International Conference on Microelectronics, ICM
T1  - On the Design of Compact Intelligent Industrial Transmitters Based on Piezoresistive MEMS Pressure Sensors
SP  - 139
EP  - 142
DO  - 10.1109/MIEL.2017.8190087
ER  - 

@conference{
author = "Frantlović, Miloš and Poljak, Predrag and Jokić, Ivana and Randjelović, Danijela and Vasiljević-Radović, Dana",
year = "2017",
abstract = "In this paper we present the concept of a compact intelligent industrial pressure transmitter developed at the Center of Microelectronic Technologies (CMT), and discuss some of the most important steps in its design process. First the constraints of the design are defined, and then the decisions are made in order to fulfill the design objectives in an optimal way, which is made possible by using the latest available technology. Especially important for this design are mixed signal circuits, and the focus is on the digital-to-analog circuitry that generates the transmitter's analog output signal. Several solutions are considered and compared, and the chosen one is further investigated, including the experimental characterization of the output current error across the operating temperature range. Apart from industrial transmitters, the results of the work can be significant for other kinds of electronic instrumentation.",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
journal = "Proceedings of the International Conference on Microelectronics, ICM",
title = "On the Design of Compact Intelligent Industrial Transmitters Based on Piezoresistive MEMS Pressure Sensors",
pages = "139-142",
doi = "10.1109/MIEL.2017.8190087"
}

Frantlović, M., Poljak, P., Jokić, I., Randjelović, D.,& Vasiljević-Radović, D.. (2017). On the Design of Compact Intelligent Industrial Transmitters Based on Piezoresistive MEMS Pressure Sensors. in Proceedings of the International Conference on Microelectronics, ICM
Institute of Electrical and Electronics Engineers Inc.., 139-142.
https://doi.org/10.1109/MIEL.2017.8190087

Frantlović M, Poljak P, Jokić I, Randjelović D, Vasiljević-Radović D. On the Design of Compact Intelligent Industrial Transmitters Based on Piezoresistive MEMS Pressure Sensors. in Proceedings of the International Conference on Microelectronics, ICM. 2017;:139-142.
doi:10.1109/MIEL.2017.8190087 .

Frantlović, Miloš, Poljak, Predrag, Jokić, Ivana, Randjelović, Danijela, Vasiljević-Radović, Dana, "On the Design of Compact Intelligent Industrial Transmitters Based on Piezoresistive MEMS Pressure Sensors" in Proceedings of the International Conference on Microelectronics, ICM (2017):139-142,
https://doi.org/10.1109/MIEL.2017.8190087 . .

TY  - CONF
AU  - Poljak, Predrag
AU  - Frantlović, Miloš
AU  - Smiljanić, Milče
AU  - Lazić, Žarko
AU  - Jokić, Ivana
AU  - Randjelović, Danijela
AU  - Mitrovic, Zoran
PY  - 2017
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/2117
AB  - In this paper a measurement setup is presented that enables automatic characterization of silicon piezoresistive MEMS pressure sensors. It is used for determination of the pressure and temperature dependences of sensor electrical parameters. Some of the equipment in the setup, and the software application that controls the process, are developed at the Center of Microelectronic Technologies (CMT). The main objective of the work is to make the sensor characterization experiment as efficient as possible, without sacrificing measurement performance. An example of obtained measurement results is given for 3 sensors fabricated at CMT. The work greatly facilitates small series production of pressure sensors and instruments, as well as research activities in the field of pressure sensors at CMT.
PB  - Institute of Electrical and Electronics Engineers Inc.
C3  - Proceedings of the International Semiconductor Conference, CAS
T1  - A Measurement Setup Enabling Automatic Characterization of Silicon Piezoresistive MEMS Pressure Sensors
SP  - 237
EP  - 240
DO  - 10.1109/SMICND.2017.8101211
ER  - 

@conference{
author = "Poljak, Predrag and Frantlović, Miloš and Smiljanić, Milče and Lazić, Žarko and Jokić, Ivana and Randjelović, Danijela and Mitrovic, Zoran",
year = "2017",
abstract = "In this paper a measurement setup is presented that enables automatic characterization of silicon piezoresistive MEMS pressure sensors. It is used for determination of the pressure and temperature dependences of sensor electrical parameters. Some of the equipment in the setup, and the software application that controls the process, are developed at the Center of Microelectronic Technologies (CMT). The main objective of the work is to make the sensor characterization experiment as efficient as possible, without sacrificing measurement performance. An example of obtained measurement results is given for 3 sensors fabricated at CMT. The work greatly facilitates small series production of pressure sensors and instruments, as well as research activities in the field of pressure sensors at CMT.",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
journal = "Proceedings of the International Semiconductor Conference, CAS",
title = "A Measurement Setup Enabling Automatic Characterization of Silicon Piezoresistive MEMS Pressure Sensors",
pages = "237-240",
doi = "10.1109/SMICND.2017.8101211"
}

Poljak, P., Frantlović, M., Smiljanić, M., Lazić, Ž., Jokić, I., Randjelović, D.,& Mitrovic, Z.. (2017). A Measurement Setup Enabling Automatic Characterization of Silicon Piezoresistive MEMS Pressure Sensors. in Proceedings of the International Semiconductor Conference, CAS
Institute of Electrical and Electronics Engineers Inc.., 237-240.
https://doi.org/10.1109/SMICND.2017.8101211

Poljak P, Frantlović M, Smiljanić M, Lazić Ž, Jokić I, Randjelović D, Mitrovic Z. A Measurement Setup Enabling Automatic Characterization of Silicon Piezoresistive MEMS Pressure Sensors. in Proceedings of the International Semiconductor Conference, CAS. 2017;:237-240.
doi:10.1109/SMICND.2017.8101211 .

Poljak, Predrag, Frantlović, Miloš, Smiljanić, Milče, Lazić, Žarko, Jokić, Ivana, Randjelović, Danijela, Mitrovic, Zoran, "A Measurement Setup Enabling Automatic Characterization of Silicon Piezoresistive MEMS Pressure Sensors" in Proceedings of the International Semiconductor Conference, CAS (2017):237-240,
https://doi.org/10.1109/SMICND.2017.8101211 . .