TY  - JOUR
AU  - Milić, Petar
AU  - Rajković, Katarina
AU  - Nikolić, Goran
AU  - Jeremić, Sanja
AU  - Đurašević, Mirjana
PY  - 2023
UR  - https://www.sciencedirect.com/science/article/pii/S0263876223000618
UR  - https://imagine.imgge.bg.ac.rs/handle/123456789/1922
AB  - The aims of this research were preparation of Juglans nigra husk extracts by employing an ultrasonic-assisted extraction method and process optimization of minerals extraction using response surface methodology. Extracts from J. nigra L. fresh husk were prepared using ethanol (70%, v/v) as a solvent, at different extraction temperatures: 15, 30 and 40 °C, and extraction times: 5, 15, 30, 60 and 80 min. The content of minerals in ethanol extracts was determined using inductively coupled plasma optical emission spectrometry (ICP-OES). The response surface methodology (RSM) was developed to evaluate the effect of two extraction factors as well as to optimize the extraction variables for each mineral individually. The RSM models pointed out 40 °C temperature and extraction time in the range 77–80 min as optimal conditions for extraction of macro- and micro-elements. Results of RSM optimization showed the relative order of maximum obtained yield of macro-elements: K>P>S>Ca>Mg and maximum yield of micro-elements was Si>Zn>Sr>Cu.
T2  - Chemical Engineering Research and Design
T2  - Chemical Engineering Research and DesignChemical Engineering Research and Design
T1  - Preparation of Juglans nigra L. husk extracts by applying an ultrasonic-assisted extraction method and process optimization of minerals extraction using response surface methodology
EP  - 445
SP  - 439
VL  - 191
DO  - 10.1016/j.cherd.2023.01.051
ER  - 

@article{
author = "Milić, Petar and Rajković, Katarina and Nikolić, Goran and Jeremić, Sanja and Đurašević, Mirjana",
year = "2023",
abstract = "The aims of this research were preparation of Juglans nigra husk extracts by employing an ultrasonic-assisted extraction method and process optimization of minerals extraction using response surface methodology. Extracts from J. nigra L. fresh husk were prepared using ethanol (70%, v/v) as a solvent, at different extraction temperatures: 15, 30 and 40 °C, and extraction times: 5, 15, 30, 60 and 80 min. The content of minerals in ethanol extracts was determined using inductively coupled plasma optical emission spectrometry (ICP-OES). The response surface methodology (RSM) was developed to evaluate the effect of two extraction factors as well as to optimize the extraction variables for each mineral individually. The RSM models pointed out 40 °C temperature and extraction time in the range 77–80 min as optimal conditions for extraction of macro- and micro-elements. Results of RSM optimization showed the relative order of maximum obtained yield of macro-elements: K>P>S>Ca>Mg and maximum yield of micro-elements was Si>Zn>Sr>Cu.",
journal = "Chemical Engineering Research and Design, Chemical Engineering Research and DesignChemical Engineering Research and Design",
title = "Preparation of Juglans nigra L. husk extracts by applying an ultrasonic-assisted extraction method and process optimization of minerals extraction using response surface methodology",
pages = "445-439",
volume = "191",
doi = "10.1016/j.cherd.2023.01.051"
}

Milić, P., Rajković, K., Nikolić, G., Jeremić, S.,& Đurašević, M.. (2023). Preparation of Juglans nigra L. husk extracts by applying an ultrasonic-assisted extraction method and process optimization of minerals extraction using response surface methodology. in Chemical Engineering Research and Design, 191, 439-445.
https://doi.org/10.1016/j.cherd.2023.01.051

Milić P, Rajković K, Nikolić G, Jeremić S, Đurašević M. Preparation of Juglans nigra L. husk extracts by applying an ultrasonic-assisted extraction method and process optimization of minerals extraction using response surface methodology. in Chemical Engineering Research and Design. 2023;191:439-445.
doi:10.1016/j.cherd.2023.01.051 .

Milić, Petar, Rajković, Katarina, Nikolić, Goran, Jeremić, Sanja, Đurašević, Mirjana, "Preparation of Juglans nigra L. husk extracts by applying an ultrasonic-assisted extraction method and process optimization of minerals extraction using response surface methodology" in Chemical Engineering Research and Design, 191 (2023):439-445,
https://doi.org/10.1016/j.cherd.2023.01.051 . .

TY  - JOUR
AU  - Milić, Petar
AU  - Rajković, Katarina
AU  - Nikolić, Goran
AU  - Jeremić, Sanja
AU  - Đurašević, Mirjana
PY  - 2023
UR  - https://www.sciencedirect.com/science/article/pii/S0263876223000618
UR  - https://imagine.imgge.bg.ac.rs/handle/123456789/1888
AB  - The aims of this research were preparation of Juglans nigra husk extracts by employing an ultrasonic-assisted extraction method and process optimization of minerals extraction using response surface methodology. Extracts from J. nigra L. fresh husk were prepared using ethanol (70%, v/v) as a solvent, at different extraction temperatures: 15, 30 and 40 °C, and extraction times: 5, 15, 30, 60 and 80 min. The content of minerals in ethanol extracts was determined using inductively coupled plasma optical emission spectrometry (ICP-OES). The response surface methodology (RSM) was developed to evaluate the effect of two extraction factors as well as to optimize the extraction variables for each mineral individually. The RSM models pointed out 40 °C temperature and extraction time in the range 77–80 min as optimal conditions for extraction of macro- and micro-elements. Results of RSM optimization showed the relative order of maximum obtained yield of macro-elements: K>P>S>Ca>Mg and maximum yield of micro-elements was Si>Zn>Sr>Cu.
T2  - Chemical Engineering Research and Design
T2  - Chemical Engineering Research and DesignChemical Engineering Research and Design
T1  - Preparation of Juglans nigra L. husk extracts by applying an ultrasonic-assisted extraction method and process optimization of minerals extraction using response surface methodology
EP  - 445
SP  - 439
VL  - 191
DO  - 10.1016/j.cherd.2023.01.051
ER  - 

@article{
author = "Milić, Petar and Rajković, Katarina and Nikolić, Goran and Jeremić, Sanja and Đurašević, Mirjana",
year = "2023",
abstract = "The aims of this research were preparation of Juglans nigra husk extracts by employing an ultrasonic-assisted extraction method and process optimization of minerals extraction using response surface methodology. Extracts from J. nigra L. fresh husk were prepared using ethanol (70%, v/v) as a solvent, at different extraction temperatures: 15, 30 and 40 °C, and extraction times: 5, 15, 30, 60 and 80 min. The content of minerals in ethanol extracts was determined using inductively coupled plasma optical emission spectrometry (ICP-OES). The response surface methodology (RSM) was developed to evaluate the effect of two extraction factors as well as to optimize the extraction variables for each mineral individually. The RSM models pointed out 40 °C temperature and extraction time in the range 77–80 min as optimal conditions for extraction of macro- and micro-elements. Results of RSM optimization showed the relative order of maximum obtained yield of macro-elements: K>P>S>Ca>Mg and maximum yield of micro-elements was Si>Zn>Sr>Cu.",
journal = "Chemical Engineering Research and Design, Chemical Engineering Research and DesignChemical Engineering Research and Design",
title = "Preparation of Juglans nigra L. husk extracts by applying an ultrasonic-assisted extraction method and process optimization of minerals extraction using response surface methodology",
pages = "445-439",
volume = "191",
doi = "10.1016/j.cherd.2023.01.051"
}

Milić, P., Rajković, K., Nikolić, G., Jeremić, S.,& Đurašević, M.. (2023). Preparation of Juglans nigra L. husk extracts by applying an ultrasonic-assisted extraction method and process optimization of minerals extraction using response surface methodology. in Chemical Engineering Research and Design, 191, 439-445.
https://doi.org/10.1016/j.cherd.2023.01.051

Milić P, Rajković K, Nikolić G, Jeremić S, Đurašević M. Preparation of Juglans nigra L. husk extracts by applying an ultrasonic-assisted extraction method and process optimization of minerals extraction using response surface methodology. in Chemical Engineering Research and Design. 2023;191:439-445.
doi:10.1016/j.cherd.2023.01.051 .

Milić, Petar, Rajković, Katarina, Nikolić, Goran, Jeremić, Sanja, Đurašević, Mirjana, "Preparation of Juglans nigra L. husk extracts by applying an ultrasonic-assisted extraction method and process optimization of minerals extraction using response surface methodology" in Chemical Engineering Research and Design, 191 (2023):439-445,
https://doi.org/10.1016/j.cherd.2023.01.051 . .

TY  - JOUR
AU  - Rajković, Katarina
AU  - Drobac, Milica
AU  - Milić, Petar
AU  - Vučić, Vesna
AU  - Arsić, Aleksandra
AU  - Perić, Mirjana
AU  - Radunović, Milena
AU  - Jeremić, Sanja
AU  - Arsenijević, Jelena
PY  - 2023
UR  - https://imagine.imgge.bg.ac.rs/handle/123456789/1805
AB  - Juglans nigra (Black walnut) is a source of health-promoting
biologically active compounds used in traditional medicine. The investigation of
bioactive compounds in black walnut could lead to its broader application, as
well as application of its by-products. Therefore, this study aimed to characterize
J. nigra nut and green husk based on chemical analysis of their petroleum ether
and ethanol extracts obtained by ultrasonic and reflux extraction methods,
respectively. Different extract fractions were tested for their antimicrobial
activities using Gram-negative bacteria (Escherichia coli, Pseudomonas
aeruginosa), Gram-positive bacteria (Enterococcus faecalis Staphylococcus
aureus) and yeast (reference strain and clinical isolates of Candida albicans).
Ethanol extracts analysis, performed by High Performance Liquid
Chromatography (HPLC), singled out the ellagic acid as the most dominant
compound in nut (55.0 ± 1.3 × 10-3 kg m-3
) and green husk (114.1 ± 0.5× 10-3 kg
m-3
) extracts. Non-polar compounds were evaluated using Gas Chromatography
(GC) analysis of petroleum ether extracts. Juglans nigra nut and green husk
contained two saturated fatty acids, palmitic acid (C16:0) and stearic acid
(C18:0), then, monounsaturated fatty acids, palmitoleic (C16:1n-7), oleic
(C18:1n-9), and vaccenic acid (C18:1n-7), as well as polyunsaturated fatty acids,
linoleic (C18:2n-6), γ-linolenic (C18:3n-6), and α-linolenic (C18:3n-3) acids.
Ethanol extracts of both J. nigra nut and green husk showed antimicrobial
activity against C. albicans which is the most common cause of yeast infections.
AB  - Juglans nigra (црни орах) као извор биолошки активних једињења користе се у
традиционалној медицини. Истраживање биоактивних једињења присутних у црном ораху
довело би до шире примене његових производа. Зато ова студија има за циљ да
окарактерише орашаст плод и зелену љуску Ј. nigra на основу хемијске анализе њихових
петролетарских и етанолних екстраката, добијених ултразвучним и рефлукс методама
екстракције. Антимикробна активност различитих фракција екстракта је тестирана
коришћењем Грам-негативних бактерија (Escherichia coli, Pseudomonas aeruginosa), Грамозитивних бактерија (Enterococcus faecalis Staphylococcus aureus) и квасница (референтни
сој и клинички изолати Candida albicans). Анализа течном хроматографијом високих
перформанси, издвојила је елагинску киселину као најдоминантније једињење у етанолним
екстрактима орашастог плода (55,0 ± 1,3 × 10-3 kg m-3) и зелене љуске (114,1 ± 0,5 × 10-3
g m-3). Неполарна једињења су процењена применом гасне хроматографске анализе
петролетарских екстракта. Орашаст плод и зелена љуска садрже две засићене масне
киселине, палмитинску (C16:0) и стеаринску киселину (C18:0), затим мононезасићене
масне киселине, палмитолеинску (C16:1n-7), олеинску (C18:1n-9), и вакценску киселину
(C18:1n-7), као и полинезасићене масне киселине, линолну (C18:2n-6), γ-линоленску
(C18:3n-6) и α-линоленску (C18: 3n-3) киселину. Етанолни екстракти орашастог плода и
зелене љуске показали су антимикробну активност нa сојевима C. albicans која је најчешћи
узрочник гљивичних инфекција.
PB  - Belgrade : Serbian Chemical Society
T2  - Journal of the Serbian Chemical Society
T1  - Chemical characterization and antimicrobial activity of Juglans nigra L. nut and green husk
T1  - Hemijska karakterizacija i antimikrobna aktivnost orašastog ploda i zelene ljuske Juglans nigra l.
T1  - Xемијска карактеризација и антимикробна активност орашастог плода и зелене љуске Juglans nigra l.
DO  - doi.org/10.2298/JSC230210024R
ER  - 

@article{
author = "Rajković, Katarina and Drobac, Milica and Milić, Petar and Vučić, Vesna and Arsić, Aleksandra and Perić, Mirjana and Radunović, Milena and Jeremić, Sanja and Arsenijević, Jelena",
year = "2023",
abstract = "Juglans nigra (Black walnut) is a source of health-promoting
biologically active compounds used in traditional medicine. The investigation of
bioactive compounds in black walnut could lead to its broader application, as
well as application of its by-products. Therefore, this study aimed to characterize
J. nigra nut and green husk based on chemical analysis of their petroleum ether
and ethanol extracts obtained by ultrasonic and reflux extraction methods,
respectively. Different extract fractions were tested for their antimicrobial
activities using Gram-negative bacteria (Escherichia coli, Pseudomonas
aeruginosa), Gram-positive bacteria (Enterococcus faecalis Staphylococcus
aureus) and yeast (reference strain and clinical isolates of Candida albicans).
Ethanol extracts analysis, performed by High Performance Liquid
Chromatography (HPLC), singled out the ellagic acid as the most dominant
compound in nut (55.0 ± 1.3 × 10-3 kg m-3
) and green husk (114.1 ± 0.5× 10-3 kg
m-3
) extracts. Non-polar compounds were evaluated using Gas Chromatography
(GC) analysis of petroleum ether extracts. Juglans nigra nut and green husk
contained two saturated fatty acids, palmitic acid (C16:0) and stearic acid
(C18:0), then, monounsaturated fatty acids, palmitoleic (C16:1n-7), oleic
(C18:1n-9), and vaccenic acid (C18:1n-7), as well as polyunsaturated fatty acids,
linoleic (C18:2n-6), γ-linolenic (C18:3n-6), and α-linolenic (C18:3n-3) acids.
Ethanol extracts of both J. nigra nut and green husk showed antimicrobial
activity against C. albicans which is the most common cause of yeast infections., Juglans nigra (црни орах) као извор биолошки активних једињења користе се у
традиционалној медицини. Истраживање биоактивних једињења присутних у црном ораху
довело би до шире примене његових производа. Зато ова студија има за циљ да
окарактерише орашаст плод и зелену љуску Ј. nigra на основу хемијске анализе њихових
петролетарских и етанолних екстраката, добијених ултразвучним и рефлукс методама
екстракције. Антимикробна активност различитих фракција екстракта је тестирана
коришћењем Грам-негативних бактерија (Escherichia coli, Pseudomonas aeruginosa), Грамозитивних бактерија (Enterococcus faecalis Staphylococcus aureus) и квасница (референтни
сој и клинички изолати Candida albicans). Анализа течном хроматографијом високих
перформанси, издвојила је елагинску киселину као најдоминантније једињење у етанолним
екстрактима орашастог плода (55,0 ± 1,3 × 10-3 kg m-3) и зелене љуске (114,1 ± 0,5 × 10-3
g m-3). Неполарна једињења су процењена применом гасне хроматографске анализе
петролетарских екстракта. Орашаст плод и зелена љуска садрже две засићене масне
киселине, палмитинску (C16:0) и стеаринску киселину (C18:0), затим мононезасићене
масне киселине, палмитолеинску (C16:1n-7), олеинску (C18:1n-9), и вакценску киселину
(C18:1n-7), као и полинезасићене масне киселине, линолну (C18:2n-6), γ-линоленску
(C18:3n-6) и α-линоленску (C18: 3n-3) киселину. Етанолни екстракти орашастог плода и
зелене љуске показали су антимикробну активност нa сојевима C. albicans која је најчешћи
узрочник гљивичних инфекција.",
publisher = "Belgrade : Serbian Chemical Society",
journal = "Journal of the Serbian Chemical Society",
title = "Chemical characterization and antimicrobial activity of Juglans nigra L. nut and green husk, Hemijska karakterizacija i antimikrobna aktivnost orašastog ploda i zelene ljuske Juglans nigra l., Xемијска карактеризација и антимикробна активност орашастог плода и зелене љуске Juglans nigra l.",
doi = "doi.org/10.2298/JSC230210024R"
}

Rajković, K., Drobac, M., Milić, P., Vučić, V., Arsić, A., Perić, M., Radunović, M., Jeremić, S.,& Arsenijević, J.. (2023). Chemical characterization and antimicrobial activity of Juglans nigra L. nut and green husk. in Journal of the Serbian Chemical Society
Belgrade : Serbian Chemical Society..
https://doi.org/doi.org/10.2298/JSC230210024R

Rajković K, Drobac M, Milić P, Vučić V, Arsić A, Perić M, Radunović M, Jeremić S, Arsenijević J. Chemical characterization and antimicrobial activity of Juglans nigra L. nut and green husk. in Journal of the Serbian Chemical Society. 2023;.
doi:doi.org/10.2298/JSC230210024R .

Rajković, Katarina, Drobac, Milica, Milić, Petar, Vučić, Vesna, Arsić, Aleksandra, Perić, Mirjana, Radunović, Milena, Jeremić, Sanja, Arsenijević, Jelena, "Chemical characterization and antimicrobial activity of Juglans nigra L. nut and green husk" in Journal of the Serbian Chemical Society (2023),
https://doi.org/doi.org/10.2298/JSC230210024R . .

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  - 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  - 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  - 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  - 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 . .