TY  - JOUR
AU  - Rajković, Katarina M.
AU  - Vasić, Marijana
AU  - Drobac, Milica
AU  - Mutić, Jelena
AU  - Jeremić, Sanja
AU  - Simić, Valentina
AU  - Stanković, Jovan
PY  - 2020
UR  - https://imagine.imgge.bg.ac.rs/handle/123456789/1378
AB  - The extraction yield of Juglans nigra L. leaves was assessed at different ethanol concentrations (0-96% (v/v)) and solvent-to-solid ratios (5-20 kg kg(-1)). The response surface methodology (RSM) and artificial neural network with genetic algorithms (ANN-GA) were developed to optimize the extraction variables. The RSM and ANN-GA models determined 50% (v/v) ethanol concentration and 20 kg kg(-1) solvent-to-solid ratio as optimal conditions, ensuring an extraction yield of 27.69 and 27.19 g 100 g(-1) of dry leaves. The phenolic compounds in optimal extract were quantified: 3-O-caffeoylquinic acid (2.27 mg g(-1)of dry leaves), quercetin-3-O-galactoside (10.99 mg g(-1) of dry leaves) and quercetin 3 0 rhamnoside (15.07 mg g(-1)of dry leaves) using high-performance liquid chromatography (HPLC). The minerals in optimal extract were quantified: macro-elements (the relative order by content was: K  gt  Mg  gt  Ca) using inductively coupled plasma optical emission spectrometry (ICP-OES) and micro-elements (the relative order by content was: Zn  gt  Rb  gt  Mn  gt  I gt Sr  gt  Ni  gt  Cu  gt  Co  gt  V  gt  Ag  gt  Se) using inductively coupled plasma mass spectrometry (ICP-MS). The extraction coefficients for minerals were determined and were highest for K (64.3%) and I (53.5%). Optimization of extraction process resulted in high extraction yield from J. nigra leaves and optimal extract containing different phytochemical compounds.
PB  - Elsevier, Amsterdam
T2  - Chemical Engineering Research & Design
T1  - Optimization of extraction yield and chemical characterization of optimal extract from Juglans nigra L. leaves
EP  - 33
SP  - 25
VL  - 157
DO  - 10.1016/j.cherd.2020.03.002
ER  - 

@article{
author = "Rajković, Katarina M. and Vasić, Marijana and Drobac, Milica and Mutić, Jelena and Jeremić, Sanja and Simić, Valentina and Stanković, Jovan",
year = "2020",
abstract = "The extraction yield of Juglans nigra L. leaves was assessed at different ethanol concentrations (0-96% (v/v)) and solvent-to-solid ratios (5-20 kg kg(-1)). The response surface methodology (RSM) and artificial neural network with genetic algorithms (ANN-GA) were developed to optimize the extraction variables. The RSM and ANN-GA models determined 50% (v/v) ethanol concentration and 20 kg kg(-1) solvent-to-solid ratio as optimal conditions, ensuring an extraction yield of 27.69 and 27.19 g 100 g(-1) of dry leaves. The phenolic compounds in optimal extract were quantified: 3-O-caffeoylquinic acid (2.27 mg g(-1)of dry leaves), quercetin-3-O-galactoside (10.99 mg g(-1) of dry leaves) and quercetin 3 0 rhamnoside (15.07 mg g(-1)of dry leaves) using high-performance liquid chromatography (HPLC). The minerals in optimal extract were quantified: macro-elements (the relative order by content was: K  gt  Mg  gt  Ca) using inductively coupled plasma optical emission spectrometry (ICP-OES) and micro-elements (the relative order by content was: Zn  gt  Rb  gt  Mn  gt  I gt Sr  gt  Ni  gt  Cu  gt  Co  gt  V  gt  Ag  gt  Se) using inductively coupled plasma mass spectrometry (ICP-MS). The extraction coefficients for minerals were determined and were highest for K (64.3%) and I (53.5%). Optimization of extraction process resulted in high extraction yield from J. nigra leaves and optimal extract containing different phytochemical compounds.",
publisher = "Elsevier, Amsterdam",
journal = "Chemical Engineering Research & Design",
title = "Optimization of extraction yield and chemical characterization of optimal extract from Juglans nigra L. leaves",
pages = "33-25",
volume = "157",
doi = "10.1016/j.cherd.2020.03.002"
}

Rajković, K. M., Vasić, M., Drobac, M., Mutić, J., Jeremić, S., Simić, V.,& Stanković, J.. (2020). Optimization of extraction yield and chemical characterization of optimal extract from Juglans nigra L. leaves. in Chemical Engineering Research & Design
Elsevier, Amsterdam., 157, 25-33.
https://doi.org/10.1016/j.cherd.2020.03.002

Rajković KM, Vasić M, Drobac M, Mutić J, Jeremić S, Simić V, Stanković J. Optimization of extraction yield and chemical characterization of optimal extract from Juglans nigra L. leaves. in Chemical Engineering Research & Design. 2020;157:25-33.
doi:10.1016/j.cherd.2020.03.002 .

Rajković, Katarina M., Vasić, Marijana, Drobac, Milica, Mutić, Jelena, Jeremić, Sanja, Simić, Valentina, Stanković, Jovan, "Optimization of extraction yield and chemical characterization of optimal extract from Juglans nigra L. leaves" in Chemical Engineering Research & Design, 157 (2020):25-33,
https://doi.org/10.1016/j.cherd.2020.03.002 . .

TY  - JOUR
AU  - Rajković, Katarina M.
AU  - Milosević, Nebojša T.
AU  - Otasević, Suzana
AU  - Jeremić, Sanja
AU  - Arsić-Arsenijević, Valentina
PY  - 2019
UR  - https://imagine.imgge.bg.ac.rs/handle/123456789/1286
AB  - Background Aspergillus fumigatus causes serious infections in humans, and its virulence correlates with hyphal growth, branching and formation of the filamentous mycelium. The filamentous mycelium is a complex structure inconvenient for quantity analysis. In this study, we monitored the branching of A. fumigatus filamentous mycelium in vitro at different points in time in order to assess the complexity degree and develop a dynamic model for the branching complexity. Method: We used fractal analysis of microscopic images (FAMI) to measure the fractal dimensions (D) of the branching complexity within 24 h of incubation. Results: By photographing the filamentous mycelium dynamically and processing the images, the D variation curve of A. fumigatus complexity degree was obtained. We acquired the D variation curve which contained initial exponential period and stationary period of A. fumigants branching. Further, the obtained data of D was modeled via the logistic model (LM) to develop a dynamic model of A. fumigatus branching for the prediction of the specific growth rate of branching value (0.23 h(-1)). Conclusions: Developed FAMI and LM models present a simple and non-destructive method of predicting the evolution of branching complexity of A. fumigatus. These models are useful as laboratory measurements for the prediction of hyphal and mycelium development, especially relevant to the pathogenesis study of aspergillosis, as well as pathogenesis of other diseases caused by moulds.
PB  - Pergamon-Elsevier Science Ltd, Oxford
T2  - Computers in Biology and Medicine
T1  - Aspergillus fumigatus branching complexity in vitro: 2D images and dynamic modeling
EP  - 219
SP  - 215
VL  - 104
DO  - 10.1016/j.compbiomed.2018.11.022
ER  - 

@article{
author = "Rajković, Katarina M. and Milosević, Nebojša T. and Otasević, Suzana and Jeremić, Sanja and Arsić-Arsenijević, Valentina",
year = "2019",
abstract = "Background Aspergillus fumigatus causes serious infections in humans, and its virulence correlates with hyphal growth, branching and formation of the filamentous mycelium. The filamentous mycelium is a complex structure inconvenient for quantity analysis. In this study, we monitored the branching of A. fumigatus filamentous mycelium in vitro at different points in time in order to assess the complexity degree and develop a dynamic model for the branching complexity. Method: We used fractal analysis of microscopic images (FAMI) to measure the fractal dimensions (D) of the branching complexity within 24 h of incubation. Results: By photographing the filamentous mycelium dynamically and processing the images, the D variation curve of A. fumigatus complexity degree was obtained. We acquired the D variation curve which contained initial exponential period and stationary period of A. fumigants branching. Further, the obtained data of D was modeled via the logistic model (LM) to develop a dynamic model of A. fumigatus branching for the prediction of the specific growth rate of branching value (0.23 h(-1)). Conclusions: Developed FAMI and LM models present a simple and non-destructive method of predicting the evolution of branching complexity of A. fumigatus. These models are useful as laboratory measurements for the prediction of hyphal and mycelium development, especially relevant to the pathogenesis study of aspergillosis, as well as pathogenesis of other diseases caused by moulds.",
publisher = "Pergamon-Elsevier Science Ltd, Oxford",
journal = "Computers in Biology and Medicine",
title = "Aspergillus fumigatus branching complexity in vitro: 2D images and dynamic modeling",
pages = "219-215",
volume = "104",
doi = "10.1016/j.compbiomed.2018.11.022"
}

Rajković, K. M., Milosević, N. T., Otasević, S., Jeremić, S.,& Arsić-Arsenijević, V.. (2019). Aspergillus fumigatus branching complexity in vitro: 2D images and dynamic modeling. in Computers in Biology and Medicine
Pergamon-Elsevier Science Ltd, Oxford., 104, 215-219.
https://doi.org/10.1016/j.compbiomed.2018.11.022

Rajković KM, Milosević NT, Otasević S, Jeremić S, Arsić-Arsenijević V. Aspergillus fumigatus branching complexity in vitro: 2D images and dynamic modeling. in Computers in Biology and Medicine. 2019;104:215-219.
doi:10.1016/j.compbiomed.2018.11.022 .

Rajković, Katarina M., Milosević, Nebojša T., Otasević, Suzana, Jeremić, Sanja, Arsić-Arsenijević, Valentina, "Aspergillus fumigatus branching complexity in vitro: 2D images and dynamic modeling" in Computers in Biology and Medicine, 104 (2019):215-219,
https://doi.org/10.1016/j.compbiomed.2018.11.022 . .

TY  - JOUR
AU  - Gavrilović, Marijana
AU  - Rajković, Katarina M.
AU  - Simić, Valentina
AU  - Jeremić, Sanja
AU  - Mirković, Snjezana
AU  - Jevtić, Aleksandra S.
PY  - 2018
UR  - https://imagine.imgge.bg.ac.rs/handle/123456789/1128
AB  - The ultrasound-assisted extraction of Juglans nigra L. leaves was optimized with respect to total phenolic content (TP) of the extracts by varying the concentration of aqueous ethanol solution (E) and different solvent-to-solid ratio (S). The influence and optimum of the operating parameters (E and S) was examined using response surface methodology (RSM). The statistical criteria indicated the adequacy, reliability and precision of the developed RSM model. RSM showed that maximum extraction yield of TP 28.59 mg g(-1) of draw plant was achieved at the optimal values of 50% E and 20 kg kg(-1) S. Using the modelled optimized conditions, the detected relative difference between the predicted and the experimental yield was +/- 2.3 %. The determined TP content in the extracts varied from 12.54 to 29.26 mg GAE g(-1) of dry plant indicated that J. nigra is a valuable source of phenolic substances. The extracts of J. nigra leaves obtained under optimal conditions showed good antioxidant activity (IC50 = = 18.91 +/- 0.03 mu g cm(-3)) which was determined by the scavenging effect on 2,2-diphenyl-1-picrylhydrazyl radical. The optimization of the TP extraction process is the important step in improving techno-economics of the potential commercial preparation of J. nigra extracts, as natural source of antioxidants.
PB  - Srpsko hemijsko društvo, Beograd
T2  - Journal of the Serbian Chemical Society
T1  - Optimization of ultrasound-assisted extraction of total polyphenolic compounds from Juglans nigra L. leaves
EP  - 1284
IS  - 11
SP  - 1273
VL  - 83
DO  - 10.2298/JSC180321069G
ER  - 

@article{
author = "Gavrilović, Marijana and Rajković, Katarina M. and Simić, Valentina and Jeremić, Sanja and Mirković, Snjezana and Jevtić, Aleksandra S.",
year = "2018",
abstract = "The ultrasound-assisted extraction of Juglans nigra L. leaves was optimized with respect to total phenolic content (TP) of the extracts by varying the concentration of aqueous ethanol solution (E) and different solvent-to-solid ratio (S). The influence and optimum of the operating parameters (E and S) was examined using response surface methodology (RSM). The statistical criteria indicated the adequacy, reliability and precision of the developed RSM model. RSM showed that maximum extraction yield of TP 28.59 mg g(-1) of draw plant was achieved at the optimal values of 50% E and 20 kg kg(-1) S. Using the modelled optimized conditions, the detected relative difference between the predicted and the experimental yield was +/- 2.3 %. The determined TP content in the extracts varied from 12.54 to 29.26 mg GAE g(-1) of dry plant indicated that J. nigra is a valuable source of phenolic substances. The extracts of J. nigra leaves obtained under optimal conditions showed good antioxidant activity (IC50 = = 18.91 +/- 0.03 mu g cm(-3)) which was determined by the scavenging effect on 2,2-diphenyl-1-picrylhydrazyl radical. The optimization of the TP extraction process is the important step in improving techno-economics of the potential commercial preparation of J. nigra extracts, as natural source of antioxidants.",
publisher = "Srpsko hemijsko društvo, Beograd",
journal = "Journal of the Serbian Chemical Society",
title = "Optimization of ultrasound-assisted extraction of total polyphenolic compounds from Juglans nigra L. leaves",
pages = "1284-1273",
number = "11",
volume = "83",
doi = "10.2298/JSC180321069G"
}

Gavrilović, M., Rajković, K. M., Simić, V., Jeremić, S., Mirković, S.,& Jevtić, A. S.. (2018). Optimization of ultrasound-assisted extraction of total polyphenolic compounds from Juglans nigra L. leaves. in Journal of the Serbian Chemical Society
Srpsko hemijsko društvo, Beograd., 83(11), 1273-1284.
https://doi.org/10.2298/JSC180321069G

Gavrilović M, Rajković KM, Simić V, Jeremić S, Mirković S, Jevtić AS. Optimization of ultrasound-assisted extraction of total polyphenolic compounds from Juglans nigra L. leaves. in Journal of the Serbian Chemical Society. 2018;83(11):1273-1284.
doi:10.2298/JSC180321069G .

Gavrilović, Marijana, Rajković, Katarina M., Simić, Valentina, Jeremić, Sanja, Mirković, Snjezana, Jevtić, Aleksandra S., "Optimization of ultrasound-assisted extraction of total polyphenolic compounds from Juglans nigra L. leaves" in Journal of the Serbian Chemical Society, 83, no. 11 (2018):1273-1284,
https://doi.org/10.2298/JSC180321069G . .

TY  - JOUR
AU  - Mirković, Snjezana
AU  - Rajković, Katarina
AU  - Jeremić, Sanja
AU  - Gavrilović, Marijana
AU  - Tomić, Ljiljana
AU  - Arsić-Arsenijević, Valentina
AU  - Krstić, Boro
PY  - 2018
UR  - https://imagine.imgge.bg.ac.rs/handle/123456789/1112
AB  - The objective of this paper was to assess the antiradical effectiveness of propolis extract (PE) based on 2.2-diphenyl-1-picrylhydrazyl radical (DPPH center dot) bleaching assay kinetic profile. The kinetic profile of scavenging DPPH center dot for PE exhibited one kinetic period characterized by one kinetic constant. The second-order rate constant (k(2)) for the oxidation of PE by DPPH center dot, determined for the first time in this study, was 0.17 dm(3)g(-1)s(-1). The obtained k(2) value was compared to that of synthetic antioxidants and natural extracts used in the food industry. Kinetic analysis of PE antiradical effectiveness showed that the k(2) was within the range values for natural colorants of fruit extracts and should be considered as a fast acting natural antioxidant source. The k(2) parameter indicates the extent of oxidation inhibition that is based on all of the kinetic profiles of DPPH bleaching rather than single point measurements. For this reason, the kinetic analysis should become a necessary step for more precise antioxidative characterization of propolis.
PB  - Research Inst Pomology Floriculture, Div Apiculture, Pulawy
T2  - Journal of Apicultural Science
T1  - Kinetic profile of the antioxidant activity of propolis extract: 2,2-diphenyl-1-picrylhydrazyl radical bleaching assay
EP  - 46
IS  - 1
SP  - 39
VL  - 62
DO  - 10.2478/JAS-2018-0004
ER  - 

@article{
author = "Mirković, Snjezana and Rajković, Katarina and Jeremić, Sanja and Gavrilović, Marijana and Tomić, Ljiljana and Arsić-Arsenijević, Valentina and Krstić, Boro",
year = "2018",
abstract = "The objective of this paper was to assess the antiradical effectiveness of propolis extract (PE) based on 2.2-diphenyl-1-picrylhydrazyl radical (DPPH center dot) bleaching assay kinetic profile. The kinetic profile of scavenging DPPH center dot for PE exhibited one kinetic period characterized by one kinetic constant. The second-order rate constant (k(2)) for the oxidation of PE by DPPH center dot, determined for the first time in this study, was 0.17 dm(3)g(-1)s(-1). The obtained k(2) value was compared to that of synthetic antioxidants and natural extracts used in the food industry. Kinetic analysis of PE antiradical effectiveness showed that the k(2) was within the range values for natural colorants of fruit extracts and should be considered as a fast acting natural antioxidant source. The k(2) parameter indicates the extent of oxidation inhibition that is based on all of the kinetic profiles of DPPH bleaching rather than single point measurements. For this reason, the kinetic analysis should become a necessary step for more precise antioxidative characterization of propolis.",
publisher = "Research Inst Pomology Floriculture, Div Apiculture, Pulawy",
journal = "Journal of Apicultural Science",
title = "Kinetic profile of the antioxidant activity of propolis extract: 2,2-diphenyl-1-picrylhydrazyl radical bleaching assay",
pages = "46-39",
number = "1",
volume = "62",
doi = "10.2478/JAS-2018-0004"
}

Mirković, S., Rajković, K., Jeremić, S., Gavrilović, M., Tomić, L., Arsić-Arsenijević, V.,& Krstić, B.. (2018). Kinetic profile of the antioxidant activity of propolis extract: 2,2-diphenyl-1-picrylhydrazyl radical bleaching assay. in Journal of Apicultural Science
Research Inst Pomology Floriculture, Div Apiculture, Pulawy., 62(1), 39-46.
https://doi.org/10.2478/JAS-2018-0004

Mirković S, Rajković K, Jeremić S, Gavrilović M, Tomić L, Arsić-Arsenijević V, Krstić B. Kinetic profile of the antioxidant activity of propolis extract: 2,2-diphenyl-1-picrylhydrazyl radical bleaching assay. in Journal of Apicultural Science. 2018;62(1):39-46.
doi:10.2478/JAS-2018-0004 .

Mirković, Snjezana, Rajković, Katarina, Jeremić, Sanja, Gavrilović, Marijana, Tomić, Ljiljana, Arsić-Arsenijević, Valentina, Krstić, Boro, "Kinetic profile of the antioxidant activity of propolis extract: 2,2-diphenyl-1-picrylhydrazyl radical bleaching assay" in Journal of Apicultural Science, 62, no. 1 (2018):39-46,
https://doi.org/10.2478/JAS-2018-0004 . .

TY  - JOUR
AU  - Rajković, Katarina M.
AU  - Jeremić, Sanja
AU  - Milić, Petar S.
AU  - Kostić, Marina
AU  - Arsić-Arsenijević, Valentina
AU  - Gavrilović, Marijana
AU  - Krstić, Boro
PY  - 2017
UR  - https://imagine.imgge.bg.ac.rs/handle/123456789/1008
AB  - Ultrasound-assisted extraction (US-AE) of total extractive substances from the herb Lady's Bedstraw (Galium verum L.) is useful extraction method for its application in food manufacturing. The effect of different temperatures (T) and solventto-solid ratios (S) on the US-AE extraction yield was studied in this paper. The influence and optimum of the operating parameters (T and S) was investigated using response surface methodology (RSM). The T and S had impact on extraction yield. RSM showed that the optimal extraction parameters, which gave a maximum extraction yield of 18.7%, were T of 40 oC and S of 30 kg kg(-1). Using modeled optimized conditions, detected relative difference between predicted and experimental yield was 3.3 %. RSM successfully predicted optimal parameters and proved as useful tool for standardization of extraction conditions for bioactive components from plants important for food industry.
PB  - Budapest Univ Technology Economics, Budapest
T2  - Periodica Polytechnica-Chemical Engineering
T1  - Optimization of Ultrasound-Assisted Extraction of Total Extractive Substances from Galium verum L
EP  - 205
IS  - 3
SP  - 200
VL  - 61
DO  - 10.3311/PPch.9580
ER  - 

@article{
author = "Rajković, Katarina M. and Jeremić, Sanja and Milić, Petar S. and Kostić, Marina and Arsić-Arsenijević, Valentina and Gavrilović, Marijana and Krstić, Boro",
year = "2017",
abstract = "Ultrasound-assisted extraction (US-AE) of total extractive substances from the herb Lady's Bedstraw (Galium verum L.) is useful extraction method for its application in food manufacturing. The effect of different temperatures (T) and solventto-solid ratios (S) on the US-AE extraction yield was studied in this paper. The influence and optimum of the operating parameters (T and S) was investigated using response surface methodology (RSM). The T and S had impact on extraction yield. RSM showed that the optimal extraction parameters, which gave a maximum extraction yield of 18.7%, were T of 40 oC and S of 30 kg kg(-1). Using modeled optimized conditions, detected relative difference between predicted and experimental yield was 3.3 %. RSM successfully predicted optimal parameters and proved as useful tool for standardization of extraction conditions for bioactive components from plants important for food industry.",
publisher = "Budapest Univ Technology Economics, Budapest",
journal = "Periodica Polytechnica-Chemical Engineering",
title = "Optimization of Ultrasound-Assisted Extraction of Total Extractive Substances from Galium verum L",
pages = "205-200",
number = "3",
volume = "61",
doi = "10.3311/PPch.9580"
}

Rajković, K. M., Jeremić, S., Milić, P. S., Kostić, M., Arsić-Arsenijević, V., Gavrilović, M.,& Krstić, B.. (2017). Optimization of Ultrasound-Assisted Extraction of Total Extractive Substances from Galium verum L. in Periodica Polytechnica-Chemical Engineering
Budapest Univ Technology Economics, Budapest., 61(3), 200-205.
https://doi.org/10.3311/PPch.9580

Rajković KM, Jeremić S, Milić PS, Kostić M, Arsić-Arsenijević V, Gavrilović M, Krstić B. Optimization of Ultrasound-Assisted Extraction of Total Extractive Substances from Galium verum L. in Periodica Polytechnica-Chemical Engineering. 2017;61(3):200-205.
doi:10.3311/PPch.9580 .

Rajković, Katarina M., Jeremić, Sanja, Milić, Petar S., Kostić, Marina, Arsić-Arsenijević, Valentina, Gavrilović, Marijana, Krstić, Boro, "Optimization of Ultrasound-Assisted Extraction of Total Extractive Substances from Galium verum L" in Periodica Polytechnica-Chemical Engineering, 61, no. 3 (2017):200-205,
https://doi.org/10.3311/PPch.9580 . .

TY  - JOUR
AU  - Rajković, Katarina
AU  - Marić, Dusica L.
AU  - Milosević, Nebojša T.
AU  - Jeremić, Sanja
AU  - Arsić-Arsenijević, Valentina
AU  - Rajković, Nemanja
PY  - 2016
UR  - https://imagine.imgge.bg.ac.rs/handle/123456789/973
AB  - In this study mathematical analyses such as the analysis of area and length, fractal analysis and modified Shall analysis were applied on two dimensional (2D) images of neurons from adult human dentate nucleus (DN). Using mathematical analyses main morphological properties were obtained including the size of neuron and soma, the length of all dendrites, the density of dendritic arborization, the position of the maximum density and the irregularity of dendrites. Response surface methodology (RSM) was used for modeling the size of neurons and the length of all dendrites. However, the RSM model based on the second-order polynomial equation was only possible to apply to correlate changes in the size of the neuron with other properties of its morphology. Modeling data provided evidence that the size of DN neurons statistically depended on the size of the soma, the density of dendritic arborization and the irregularity of dendrites. The low value of mean relative percent deviation (MRPD) between the experimental data and the predicted neuron size obtained by RSM model showed that model was suitable for modeling the size of DN neurons. Therefore, RSM can be generally used for modeling neuron size from 2D images.
PB  - Academic Press Ltd- Elsevier Science Ltd, London
T2  - Journal of Theoretical Biology
T1  - Mathematical modeling of the neuron morphology using two dimensional images
EP  - 85
SP  - 80
VL  - 390
DO  - 10.1016/j.jtbi.2015.11.019
ER  - 

@article{
author = "Rajković, Katarina and Marić, Dusica L. and Milosević, Nebojša T. and Jeremić, Sanja and Arsić-Arsenijević, Valentina and Rajković, Nemanja",
year = "2016",
abstract = "In this study mathematical analyses such as the analysis of area and length, fractal analysis and modified Shall analysis were applied on two dimensional (2D) images of neurons from adult human dentate nucleus (DN). Using mathematical analyses main morphological properties were obtained including the size of neuron and soma, the length of all dendrites, the density of dendritic arborization, the position of the maximum density and the irregularity of dendrites. Response surface methodology (RSM) was used for modeling the size of neurons and the length of all dendrites. However, the RSM model based on the second-order polynomial equation was only possible to apply to correlate changes in the size of the neuron with other properties of its morphology. Modeling data provided evidence that the size of DN neurons statistically depended on the size of the soma, the density of dendritic arborization and the irregularity of dendrites. The low value of mean relative percent deviation (MRPD) between the experimental data and the predicted neuron size obtained by RSM model showed that model was suitable for modeling the size of DN neurons. Therefore, RSM can be generally used for modeling neuron size from 2D images.",
publisher = "Academic Press Ltd- Elsevier Science Ltd, London",
journal = "Journal of Theoretical Biology",
title = "Mathematical modeling of the neuron morphology using two dimensional images",
pages = "85-80",
volume = "390",
doi = "10.1016/j.jtbi.2015.11.019"
}

Rajković, K., Marić, D. L., Milosević, N. T., Jeremić, S., Arsić-Arsenijević, V.,& Rajković, N.. (2016). Mathematical modeling of the neuron morphology using two dimensional images. in Journal of Theoretical Biology
Academic Press Ltd- Elsevier Science Ltd, London., 390, 80-85.
https://doi.org/10.1016/j.jtbi.2015.11.019

Rajković K, Marić DL, Milosević NT, Jeremić S, Arsić-Arsenijević V, Rajković N. Mathematical modeling of the neuron morphology using two dimensional images. in Journal of Theoretical Biology. 2016;390:80-85.
doi:10.1016/j.jtbi.2015.11.019 .

Rajković, Katarina, Marić, Dusica L., Milosević, Nebojša T., Jeremić, Sanja, Arsić-Arsenijević, Valentina, Rajković, Nemanja, "Mathematical modeling of the neuron morphology using two dimensional images" in Journal of Theoretical Biology, 390 (2016):80-85,
https://doi.org/10.1016/j.jtbi.2015.11.019 . .

TY  - JOUR
AU  - Pekmezović, Marina
AU  - Aleksić, Ivana
AU  - Barac, Aleksandra
AU  - Arsić-Arsenijević, Valentina
AU  - Vasiljević, Branka
AU  - Nikodinović-Runić, Jasmina
AU  - Šenerović, Lidija
PY  - 2016
UR  - https://imagine.imgge.bg.ac.rs/handle/123456789/953
AB  - Mixed microbial infections caused by Pseudomonas aeruginosa and pathogenic fungi are commonly found in patients with chronic infections and constitute a significant health care burden. The aim of this study was to address the potential polymicrobial antibiofilm activity of pompia and grapefruit essential oils (EOs). The mechanism of antimicrobial activity of EOs was analysed. EOs of pompia and grapefruit inhibited fungal growth with MIC concentrations between 50 and 250 mg L-1, whereas no effect on P. aeruginosa growth was observed. Both citrus EOs inhibited formation of bacterial and fungal monomicrobial biofilms in concentrations of 50 mg L-1 and were efficient in potentiating the activity of clinically used antimicrobials in vitro. The concentration of 10 mg L-1 EOs inhibited mixed biofilm formation composed of P. aeruginosa and Aspergillus fumigatus or Scedosporium apiospermum. Citrus EOs affected quorum sensing in P. aeruginosa and caused fast permeabilisation of Candida albicans membrane. Pompia and grapefruit EOs potently inhibited biofilm formation and could be used for the control of common polymicrobial infections.
PB  - Oxford Univ Press, Oxford
T2  - Pathogens and Disease
T1  - Prevention of polymicrobial biofilms composed of Pseudomonas aeruginosa and pathogenic fungi by essential oils from selected Citrus species
IS  - 8
VL  - 74
DO  - 10.1093/femspd/ftw102
ER  - 

@article{
author = "Pekmezović, Marina and Aleksić, Ivana and Barac, Aleksandra and Arsić-Arsenijević, Valentina and Vasiljević, Branka and Nikodinović-Runić, Jasmina and Šenerović, Lidija",
year = "2016",
abstract = "Mixed microbial infections caused by Pseudomonas aeruginosa and pathogenic fungi are commonly found in patients with chronic infections and constitute a significant health care burden. The aim of this study was to address the potential polymicrobial antibiofilm activity of pompia and grapefruit essential oils (EOs). The mechanism of antimicrobial activity of EOs was analysed. EOs of pompia and grapefruit inhibited fungal growth with MIC concentrations between 50 and 250 mg L-1, whereas no effect on P. aeruginosa growth was observed. Both citrus EOs inhibited formation of bacterial and fungal monomicrobial biofilms in concentrations of 50 mg L-1 and were efficient in potentiating the activity of clinically used antimicrobials in vitro. The concentration of 10 mg L-1 EOs inhibited mixed biofilm formation composed of P. aeruginosa and Aspergillus fumigatus or Scedosporium apiospermum. Citrus EOs affected quorum sensing in P. aeruginosa and caused fast permeabilisation of Candida albicans membrane. Pompia and grapefruit EOs potently inhibited biofilm formation and could be used for the control of common polymicrobial infections.",
publisher = "Oxford Univ Press, Oxford",
journal = "Pathogens and Disease",
title = "Prevention of polymicrobial biofilms composed of Pseudomonas aeruginosa and pathogenic fungi by essential oils from selected Citrus species",
number = "8",
volume = "74",
doi = "10.1093/femspd/ftw102"
}

Pekmezović, M., Aleksić, I., Barac, A., Arsić-Arsenijević, V., Vasiljević, B., Nikodinović-Runić, J.,& Šenerović, L.. (2016). Prevention of polymicrobial biofilms composed of Pseudomonas aeruginosa and pathogenic fungi by essential oils from selected Citrus species. in Pathogens and Disease
Oxford Univ Press, Oxford., 74(8).
https://doi.org/10.1093/femspd/ftw102

Pekmezović M, Aleksić I, Barac A, Arsić-Arsenijević V, Vasiljević B, Nikodinović-Runić J, Šenerović L. Prevention of polymicrobial biofilms composed of Pseudomonas aeruginosa and pathogenic fungi by essential oils from selected Citrus species. in Pathogens and Disease. 2016;74(8).
doi:10.1093/femspd/ftw102 .

Pekmezović, Marina, Aleksić, Ivana, Barac, Aleksandra, Arsić-Arsenijević, Valentina, Vasiljević, Branka, Nikodinović-Runić, Jasmina, Šenerović, Lidija, "Prevention of polymicrobial biofilms composed of Pseudomonas aeruginosa and pathogenic fungi by essential oils from selected Citrus species" in Pathogens and Disease, 74, no. 8 (2016),
https://doi.org/10.1093/femspd/ftw102 . .

TY  - JOUR
AU  - Rajković, Katarina
AU  - Pekmezović, Marina
AU  - Barac, Aleksandra
AU  - Nikodinović-Runić, Jasmina
AU  - Arsić-Arsenijević, Valentina
PY  - 2015
UR  - https://imagine.imgge.bg.ac.rs/handle/123456789/859
AB  - Antifungal effect of individual thyme (Thymus vulgaris L) and cinnamon (Cinnamomum cassia L.) essential oils (EOs) and mixture of thereof on Aspergillus flavus spores was investigated. In order to optimize the process variables (time of action, concentration of individual or mixture EOs and their mass ratio) for the antifungal effect of EO mixture, two models were developed: the response surface methodology (RSM) and artificial neural network (ANN) combined with genetic algorithm (GA). In RSM model, three factors were involved in Box-Behnken design that was applied for the experiment. Based on the mean relative percent deviation (MRPD), both models provided a good quality prediction for the antifungal effect in terms of all three process variables. RSM and ANN-GA techniques predicted the 0.5% as an optimum percentage concentration of EO mixture in EOs mass ratio T. vulgaris:C. cassia 1:1, ensuring the highest antifungal effect of 95.8% and 96.4% after 65 min. Both models were found useful for the optimization of the antifungal effect in vitro. ANN-GA was found more accurate in comparison to RSM due to its lower value of MRPD. Therefore, ANN-GA can be generally used for optimization and prediction of antimicrobial effects of 605 and their mixtures.
PB  - Elsevier Science Bv, Amsterdam
T2  - Industrial Crops and Products
T1  - Inhibitory effect of thyme and cinnamon essential oils on Aspergillus flavus: Optimization and activity prediction model development
EP  - 13
SP  - 7
VL  - 65
DO  - 10.1016/j.indcrop.2014.11.039
ER  - 

@article{
author = "Rajković, Katarina and Pekmezović, Marina and Barac, Aleksandra and Nikodinović-Runić, Jasmina and Arsić-Arsenijević, Valentina",
year = "2015",
abstract = "Antifungal effect of individual thyme (Thymus vulgaris L) and cinnamon (Cinnamomum cassia L.) essential oils (EOs) and mixture of thereof on Aspergillus flavus spores was investigated. In order to optimize the process variables (time of action, concentration of individual or mixture EOs and their mass ratio) for the antifungal effect of EO mixture, two models were developed: the response surface methodology (RSM) and artificial neural network (ANN) combined with genetic algorithm (GA). In RSM model, three factors were involved in Box-Behnken design that was applied for the experiment. Based on the mean relative percent deviation (MRPD), both models provided a good quality prediction for the antifungal effect in terms of all three process variables. RSM and ANN-GA techniques predicted the 0.5% as an optimum percentage concentration of EO mixture in EOs mass ratio T. vulgaris:C. cassia 1:1, ensuring the highest antifungal effect of 95.8% and 96.4% after 65 min. Both models were found useful for the optimization of the antifungal effect in vitro. ANN-GA was found more accurate in comparison to RSM due to its lower value of MRPD. Therefore, ANN-GA can be generally used for optimization and prediction of antimicrobial effects of 605 and their mixtures.",
publisher = "Elsevier Science Bv, Amsterdam",
journal = "Industrial Crops and Products",
title = "Inhibitory effect of thyme and cinnamon essential oils on Aspergillus flavus: Optimization and activity prediction model development",
pages = "13-7",
volume = "65",
doi = "10.1016/j.indcrop.2014.11.039"
}

Rajković, K., Pekmezović, M., Barac, A., Nikodinović-Runić, J.,& Arsić-Arsenijević, V.. (2015). Inhibitory effect of thyme and cinnamon essential oils on Aspergillus flavus: Optimization and activity prediction model development. in Industrial Crops and Products
Elsevier Science Bv, Amsterdam., 65, 7-13.
https://doi.org/10.1016/j.indcrop.2014.11.039

Rajković K, Pekmezović M, Barac A, Nikodinović-Runić J, Arsić-Arsenijević V. Inhibitory effect of thyme and cinnamon essential oils on Aspergillus flavus: Optimization and activity prediction model development. in Industrial Crops and Products. 2015;65:7-13.
doi:10.1016/j.indcrop.2014.11.039 .

Rajković, Katarina, Pekmezović, Marina, Barac, Aleksandra, Nikodinović-Runić, Jasmina, Arsić-Arsenijević, Valentina, "Inhibitory effect of thyme and cinnamon essential oils on Aspergillus flavus: Optimization and activity prediction model development" in Industrial Crops and Products, 65 (2015):7-13,
https://doi.org/10.1016/j.indcrop.2014.11.039 . .

TY  - JOUR
AU  - Pekmezović, M.
AU  - Rajković, K.
AU  - Barac, A.
AU  - Šenerović, Lidija
AU  - Arsić-Arsenijević, Valentina
PY  - 2015
UR  - https://imagine.imgge.bg.ac.rs/handle/123456789/809
AB  - The antifungal effect of essential oils (EOs) of Thymus vulgaris L. (EOT.vulgaris) and Cinnamomum cassia L. (EOC.cassia) against Aspergillus flavus spores was evaluated by determining minimum inhibitory concentration, minimum fungicidal concentrations and fungicidal kinetics. Kinetic model of fungicidal activity of individual EOT.vulgaris and EOC.cassia was developed and its parameters were used to make EO mixture with optimal ratio of individual EOs. Synergism and speed of fungicidal effect of EO mixtures against A. flavus spores were evaluated. Kinetic model revealed optimal ratio EOT.vulgaris: EOC.cassia as 14:1 in mixture. Observed result was validated by comparing fungicidal effect of this mixture to commonly used ratio 1:1 and intermediate 7:1 EO mixtures. All three mixtures showed partial fungicidal synergism, but the time point of fungicidal effect was different. The fastest fungicidal effect was observed in 14:1 EO mixture (after 90 mm), followed by 7:1 (110 min) and 1:1 (180 min). The difference in the speed of fungicidal effect could not be detected using standard microdilution susceptibility tests, which demonstrated the importance and usefulness of developed kinetic model for further investigations.
PB  - Elsevier Science Bv, Amsterdam
T2  - Biochemical Engineering Journal
T1  - Development of kinetic model for testing antifungal effect of Thymus vulgaris L. and Cinnamomum cassia L. essential oils on Aspergillus flavus spores and application for optimization of synergistic effect
EP  - 137
SP  - 131
VL  - 99
DO  - 10.1016/j.bej.2015.03.024
ER  - 

@article{
author = "Pekmezović, M. and Rajković, K. and Barac, A. and Šenerović, Lidija and Arsić-Arsenijević, Valentina",
year = "2015",
abstract = "The antifungal effect of essential oils (EOs) of Thymus vulgaris L. (EOT.vulgaris) and Cinnamomum cassia L. (EOC.cassia) against Aspergillus flavus spores was evaluated by determining minimum inhibitory concentration, minimum fungicidal concentrations and fungicidal kinetics. Kinetic model of fungicidal activity of individual EOT.vulgaris and EOC.cassia was developed and its parameters were used to make EO mixture with optimal ratio of individual EOs. Synergism and speed of fungicidal effect of EO mixtures against A. flavus spores were evaluated. Kinetic model revealed optimal ratio EOT.vulgaris: EOC.cassia as 14:1 in mixture. Observed result was validated by comparing fungicidal effect of this mixture to commonly used ratio 1:1 and intermediate 7:1 EO mixtures. All three mixtures showed partial fungicidal synergism, but the time point of fungicidal effect was different. The fastest fungicidal effect was observed in 14:1 EO mixture (after 90 mm), followed by 7:1 (110 min) and 1:1 (180 min). The difference in the speed of fungicidal effect could not be detected using standard microdilution susceptibility tests, which demonstrated the importance and usefulness of developed kinetic model for further investigations.",
publisher = "Elsevier Science Bv, Amsterdam",
journal = "Biochemical Engineering Journal",
title = "Development of kinetic model for testing antifungal effect of Thymus vulgaris L. and Cinnamomum cassia L. essential oils on Aspergillus flavus spores and application for optimization of synergistic effect",
pages = "137-131",
volume = "99",
doi = "10.1016/j.bej.2015.03.024"
}

Pekmezović, M., Rajković, K., Barac, A., Šenerović, L.,& Arsić-Arsenijević, V.. (2015). Development of kinetic model for testing antifungal effect of Thymus vulgaris L. and Cinnamomum cassia L. essential oils on Aspergillus flavus spores and application for optimization of synergistic effect. in Biochemical Engineering Journal
Elsevier Science Bv, Amsterdam., 99, 131-137.
https://doi.org/10.1016/j.bej.2015.03.024

Pekmezović M, Rajković K, Barac A, Šenerović L, Arsić-Arsenijević V. Development of kinetic model for testing antifungal effect of Thymus vulgaris L. and Cinnamomum cassia L. essential oils on Aspergillus flavus spores and application for optimization of synergistic effect. in Biochemical Engineering Journal. 2015;99:131-137.
doi:10.1016/j.bej.2015.03.024 .

Pekmezović, M., Rajković, K., Barac, A., Šenerović, Lidija, Arsić-Arsenijević, Valentina, "Development of kinetic model for testing antifungal effect of Thymus vulgaris L. and Cinnamomum cassia L. essential oils on Aspergillus flavus spores and application for optimization of synergistic effect" in Biochemical Engineering Journal, 99 (2015):131-137,
https://doi.org/10.1016/j.bej.2015.03.024 . .

TY  - JOUR
AU  - Beletić, Anđelo
AU  - Dudvarski-Ilić, Aleksandra
AU  - Milenković, Branislava
AU  - Nagorni-Obradović, Ljudmila
AU  - Ljujić, Mila
AU  - Đorđević, Valentina
AU  - Mirković, Dusko
AU  - Radojković, Dragica
AU  - Majkic-Singh, Nada
PY  - 2014
UR  - https://imagine.imgge.bg.ac.rs/handle/123456789/715
AB  - Introduction: Alpha-1-antitrypsin deficiency (AATD), genetic risk factor for premature chronic obstructive pulmonary disease (COPD), often remains undetected. The aim of our study was to analyse the effectiveness of an integrative laboratory algorithm for AATD detection in patients diagnosed with COPD by the age of 45 years, in comparison with the screening approach based on AAT concentration measurement alone. Subjects and methods: 50 unrelated patients (28 males / 22 females, age 52 (24-75 years) diagnosed with COPD before the age of 45 years were enrolled. Immunonephelometric assay for alpha-1-antitrypsin (AAT) and PCR-reverse hybridization for Z and S allele were first-line, and isoelectric focusing and DNA sequencing (ABI Prism BigDye) were reflex tests. Results: AATD associated genotypes were detected in 7 patients (5 ZZ, 1 ZM(malton), 1 ZQ0(amersfoort)), 10 were heterozygous carriers (8 MZ and 2 MS genotypes) and 33 were without AATD (MM genotype). Carriers and patients without AATD had comparable AAT concentrations (P = 0.125). In majority of participants (48) first line tests were sufficient to analyze AATD presence. In two remaining cases reflex tests identified rare alleles, M-malton and Q0(amersfoort), the later one being reported for the first time in Serbian population. Detection rate did not differ between algorithm and screening both for AATD (P = 0.500) and carriers (P = 0.063). Conclusion: There is a high prevalence of AATD affected subjects and carriers in a group of patients with premature COPD. The use of integrative laboratory algorithm does not improve the effectiveness of AATD detection in comparison with the screening based on AAT concentration alone.
PB  - Croatian Soc Medical Biochemists, Zagreb
T2  - Biochemia Medica
T1  - Is an integrative laboratory algorithm more effective in detecting alpha-1-antitrypsin deficiency in patients with premature chronic obstructive pulmonary disease than AAT concentration based screening approach?
EP  - 298
IS  - 2
SP  - 293
VL  - 24
DO  - 10.11613/BM.2014.032
ER  - 

@article{
author = "Beletić, Anđelo and Dudvarski-Ilić, Aleksandra and Milenković, Branislava and Nagorni-Obradović, Ljudmila and Ljujić, Mila and Đorđević, Valentina and Mirković, Dusko and Radojković, Dragica and Majkic-Singh, Nada",
year = "2014",
abstract = "Introduction: Alpha-1-antitrypsin deficiency (AATD), genetic risk factor for premature chronic obstructive pulmonary disease (COPD), often remains undetected. The aim of our study was to analyse the effectiveness of an integrative laboratory algorithm for AATD detection in patients diagnosed with COPD by the age of 45 years, in comparison with the screening approach based on AAT concentration measurement alone. Subjects and methods: 50 unrelated patients (28 males / 22 females, age 52 (24-75 years) diagnosed with COPD before the age of 45 years were enrolled. Immunonephelometric assay for alpha-1-antitrypsin (AAT) and PCR-reverse hybridization for Z and S allele were first-line, and isoelectric focusing and DNA sequencing (ABI Prism BigDye) were reflex tests. Results: AATD associated genotypes were detected in 7 patients (5 ZZ, 1 ZM(malton), 1 ZQ0(amersfoort)), 10 were heterozygous carriers (8 MZ and 2 MS genotypes) and 33 were without AATD (MM genotype). Carriers and patients without AATD had comparable AAT concentrations (P = 0.125). In majority of participants (48) first line tests were sufficient to analyze AATD presence. In two remaining cases reflex tests identified rare alleles, M-malton and Q0(amersfoort), the later one being reported for the first time in Serbian population. Detection rate did not differ between algorithm and screening both for AATD (P = 0.500) and carriers (P = 0.063). Conclusion: There is a high prevalence of AATD affected subjects and carriers in a group of patients with premature COPD. The use of integrative laboratory algorithm does not improve the effectiveness of AATD detection in comparison with the screening based on AAT concentration alone.",
publisher = "Croatian Soc Medical Biochemists, Zagreb",
journal = "Biochemia Medica",
title = "Is an integrative laboratory algorithm more effective in detecting alpha-1-antitrypsin deficiency in patients with premature chronic obstructive pulmonary disease than AAT concentration based screening approach?",
pages = "298-293",
number = "2",
volume = "24",
doi = "10.11613/BM.2014.032"
}

Beletić, A., Dudvarski-Ilić, A., Milenković, B., Nagorni-Obradović, L., Ljujić, M., Đorđević, V., Mirković, D., Radojković, D.,& Majkic-Singh, N.. (2014). Is an integrative laboratory algorithm more effective in detecting alpha-1-antitrypsin deficiency in patients with premature chronic obstructive pulmonary disease than AAT concentration based screening approach?. in Biochemia Medica
Croatian Soc Medical Biochemists, Zagreb., 24(2), 293-298.
https://doi.org/10.11613/BM.2014.032

Beletić A, Dudvarski-Ilić A, Milenković B, Nagorni-Obradović L, Ljujić M, Đorđević V, Mirković D, Radojković D, Majkic-Singh N. Is an integrative laboratory algorithm more effective in detecting alpha-1-antitrypsin deficiency in patients with premature chronic obstructive pulmonary disease than AAT concentration based screening approach?. in Biochemia Medica. 2014;24(2):293-298.
doi:10.11613/BM.2014.032 .

Beletić, Anđelo, Dudvarski-Ilić, Aleksandra, Milenković, Branislava, Nagorni-Obradović, Ljudmila, Ljujić, Mila, Đorđević, Valentina, Mirković, Dusko, Radojković, Dragica, Majkic-Singh, Nada, "Is an integrative laboratory algorithm more effective in detecting alpha-1-antitrypsin deficiency in patients with premature chronic obstructive pulmonary disease than AAT concentration based screening approach?" in Biochemia Medica, 24, no. 2 (2014):293-298,
https://doi.org/10.11613/BM.2014.032 . .