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 . .

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 . .