Drobac, Milica

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orcid::0000-0002-2367-568X
  • Drobac, Milica (3)
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Author's Bibliography

Optimization of extraction yield and chemical characterization of optimal extract from Juglans nigra L. leaves

Rajković, Katarina M.; Vasić, Marijana; Drobac, Milica; Mutić, Jelena; Jeremić, Sanja; Simić, Valentina; Stanković, Jovana

(Elsevier, 2020)

TY  - JOUR
AU  - Rajković, Katarina M.
AU  - Vasić, Marijana
AU  - Drobac, Milica
AU  - Mutić, Jelena
AU  - Jeremić, Sanja
AU  - Simić, Valentina
AU  - Stanković, Jovana
PY  - 2020
UR  - https://cherry.chem.bg.ac.rs/handle/123456789/3887
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−1of dry leaves), quercetin-3-O-galactoside (10.99 mg g−1 of dry leaves) and quercetin-3-O-rhamnoside (15.07 mg g−1of dry leaves) using high-performance liquid chromatography (HPLC). The minerals in optimal extract were quantified: macro-elements (the relative order by content was: K > Mg > Ca) using inductively coupled plasma optical emission spectrometry (ICP-OES) and micro-elements (the relative order by content was: Zn > Rb > Mn > I>Sr > Ni > Cu > Co > V > Ag > 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
T2  - Chemical Engineering Research and Design
T1  - Optimization of extraction yield and chemical characterization of optimal extract from Juglans nigra L. leaves
VL  - 157
SP  - 25
EP  - 33
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, Jovana",
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−1of dry leaves), quercetin-3-O-galactoside (10.99 mg g−1 of dry leaves) and quercetin-3-O-rhamnoside (15.07 mg g−1of dry leaves) using high-performance liquid chromatography (HPLC). The minerals in optimal extract were quantified: macro-elements (the relative order by content was: K > Mg > Ca) using inductively coupled plasma optical emission spectrometry (ICP-OES) and micro-elements (the relative order by content was: Zn > Rb > Mn > I>Sr > Ni > Cu > Co > V > Ag > 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",
journal = "Chemical Engineering Research and Design",
title = "Optimization of extraction yield and chemical characterization of optimal extract from Juglans nigra L. leaves",
volume = "157",
pages = "25-33",
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 and Design
Elsevier., 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 and 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, Jovana, "Optimization of extraction yield and chemical characterization of optimal extract from Juglans nigra L. leaves" in Chemical Engineering Research and Design, 157 (2020):25-33,
https://doi.org/10.1016/j.cherd.2020.03.002 . .
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Optimization of extraction yield and chemical characterization of optimal extract from Juglans nigra L. leaves

Rajković, Katarina M.; Vasić, Marijana; Drobac, Milica; Mutić, Jelena; Jeremić, Sanja; Simić, Valentina; Stanković, Jovana

(Elsevier, 2020)

TY  - JOUR
AU  - Rajković, Katarina M.
AU  - Vasić, Marijana
AU  - Drobac, Milica
AU  - Mutić, Jelena
AU  - Jeremić, Sanja
AU  - Simić, Valentina
AU  - Stanković, Jovana
PY  - 2020
UR  - https://cherry.chem.bg.ac.rs/handle/123456789/3897
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−1of dry leaves), quercetin-3-O-galactoside (10.99 mg g−1 of dry leaves) and quercetin-3-O-rhamnoside (15.07 mg g−1of dry leaves) using high-performance liquid chromatography (HPLC). The minerals in optimal extract were quantified: macro-elements (the relative order by content was: K > Mg > Ca) using inductively coupled plasma optical emission spectrometry (ICP-OES) and micro-elements (the relative order by content was: Zn > Rb > Mn > I>Sr > Ni > Cu > Co > V > Ag > 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
T2  - Chemical Engineering Research and Design
T1  - Optimization of extraction yield and chemical characterization of optimal extract from Juglans nigra L. leaves
VL  - 157
SP  - 25
EP  - 33
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, Jovana",
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−1of dry leaves), quercetin-3-O-galactoside (10.99 mg g−1 of dry leaves) and quercetin-3-O-rhamnoside (15.07 mg g−1of dry leaves) using high-performance liquid chromatography (HPLC). The minerals in optimal extract were quantified: macro-elements (the relative order by content was: K > Mg > Ca) using inductively coupled plasma optical emission spectrometry (ICP-OES) and micro-elements (the relative order by content was: Zn > Rb > Mn > I>Sr > Ni > Cu > Co > V > Ag > 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",
journal = "Chemical Engineering Research and Design",
title = "Optimization of extraction yield and chemical characterization of optimal extract from Juglans nigra L. leaves",
volume = "157",
pages = "25-33",
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 and Design
Elsevier., 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 and 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, Jovana, "Optimization of extraction yield and chemical characterization of optimal extract from Juglans nigra L. leaves" in Chemical Engineering Research and Design, 157 (2020):25-33,
https://doi.org/10.1016/j.cherd.2020.03.002 . .
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Fatty acids, sterols, and triterpenes of the fruits of 8 heracleum taxa

Ušjak, Ljuboš; Sofrenić, Ivana V.; Tešević, Vele; Drobac, Milica; Niketić, Marjan; Petrović, Silavana

(2019)

TY  - JOUR
AU  - Ušjak, Ljuboš
AU  - Sofrenić, Ivana V.
AU  - Tešević, Vele
AU  - Drobac, Milica
AU  - Niketić, Marjan
AU  - Petrović, Silavana
PY  - 2019
UR  - https://cherry.chem.bg.ac.rs/handle/123456789/3266
AB  - Fatty acids (FAs), sterols, and triterpenes of dichloromethane extracts of the fruits of 8 Heracleum L. taxa (Apiaceae) from
southeastern Europe were investigated by gas chromatography with flame ionization detector and gas chromatography with
mass spectrometry. In order to analyze the FAs, their volatile methyl esters were obtained by saponification and subsequent
esterification of oily supernatants of the fruit extracts. Dominant was petroselinic acid (42.8%-56.5%), followed by linoleic
(20.3%-33.3%) and oleic acids (12.3%-13.7%). Sterols and triterpenes were analyzed as volatile derivatives obtained by the
silanization of residual unsaponifiable fractions. Among them, the most abundant was β-sitosterol (44.9%-56.9%), followed by
stigmasterol (15.7%-25.0%), Δ7-stigmastenol (6.6%-12.5%), and campesterol (5.2%-8.1%). The quantity of petroselinic acid
was also determined by the external standard method (298.8-433.4 mg/g of oily supernatant). The obtained results show that
the investigated plants are potential valuable sources of the compounds utilized in different industries.
T2  - Natural Product Communications
T1  - Fatty acids, sterols, and triterpenes of the fruits of 8 heracleum taxa
VL  - 14
IS  - 6
DO  - 10.1177/1934578X19856788
ER  - 
@article{
author = "Ušjak, Ljuboš and Sofrenić, Ivana V. and Tešević, Vele and Drobac, Milica and Niketić, Marjan and Petrović, Silavana",
year = "2019",
abstract = "Fatty acids (FAs), sterols, and triterpenes of dichloromethane extracts of the fruits of 8 Heracleum L. taxa (Apiaceae) from
southeastern Europe were investigated by gas chromatography with flame ionization detector and gas chromatography with
mass spectrometry. In order to analyze the FAs, their volatile methyl esters were obtained by saponification and subsequent
esterification of oily supernatants of the fruit extracts. Dominant was petroselinic acid (42.8%-56.5%), followed by linoleic
(20.3%-33.3%) and oleic acids (12.3%-13.7%). Sterols and triterpenes were analyzed as volatile derivatives obtained by the
silanization of residual unsaponifiable fractions. Among them, the most abundant was β-sitosterol (44.9%-56.9%), followed by
stigmasterol (15.7%-25.0%), Δ7-stigmastenol (6.6%-12.5%), and campesterol (5.2%-8.1%). The quantity of petroselinic acid
was also determined by the external standard method (298.8-433.4 mg/g of oily supernatant). The obtained results show that
the investigated plants are potential valuable sources of the compounds utilized in different industries.",
journal = "Natural Product Communications",
title = "Fatty acids, sterols, and triterpenes of the fruits of 8 heracleum taxa",
volume = "14",
number = "6",
doi = "10.1177/1934578X19856788"
}
Ušjak, L., Sofrenić, I. V., Tešević, V., Drobac, M., Niketić, M.,& Petrović, S.. (2019). Fatty acids, sterols, and triterpenes of the fruits of 8 heracleum taxa. in Natural Product Communications, 14(6).
https://doi.org/10.1177/1934578X19856788
Ušjak L, Sofrenić IV, Tešević V, Drobac M, Niketić M, Petrović S. Fatty acids, sterols, and triterpenes of the fruits of 8 heracleum taxa. in Natural Product Communications. 2019;14(6).
doi:10.1177/1934578X19856788 .
Ušjak, Ljuboš, Sofrenić, Ivana V., Tešević, Vele, Drobac, Milica, Niketić, Marjan, Petrović, Silavana, "Fatty acids, sterols, and triterpenes of the fruits of 8 heracleum taxa" in Natural Product Communications, 14, no. 6 (2019),
https://doi.org/10.1177/1934578X19856788 . .
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