Vovk, Irena

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Authority KeyName Variants
orcid::0000-0002-4738-2849
  • Vovk, Irena (10)

Author's Bibliography

Establishing the chromatographic fingerprints of flavan-3-ols and proanthocyanidins from rose hip (Rosa sp.) species

Dabić-Zagorac, Dragana; Fotirić-Akšić, Milica M.; Glavnik, Vesna; Gašić, Uroš M.; Vovk, Irena; Tešić, Živoslav Lj.; Natić, Maja

(2020)

TY  - JOUR
AU  - Dabić-Zagorac, Dragana
AU  - Fotirić-Akšić, Milica M.
AU  - Glavnik, Vesna
AU  - Gašić, Uroš M.
AU  - Vovk, Irena
AU  - Tešić, Živoslav Lj.
AU  - Natić, Maja
PY  - 2020
UR  - http://cherry.chem.bg.ac.rs/handle/123456789/4004
AB  - The profile of flavan-3-ols and proanthocyanidins in five different Rosa species (R. canina, R. glutinosa, R. rubiginosa, R. multiflora, and R. spinosissima) was estimated on high performance thin layer chromatography cellulose plates. Differences in flavanol and proanthocyanidin profiles of the extracts were evident, among which Rosa spinosissima stood out with catechin as the only detected flavanol and red zones as indication of anthocyanins. Furthermore, the elution solvent for thin layer chromatography with mass spectrometry analyses of glycosylated flavan-3-ols and proanthocyanidins was optimized, enabling identification of catechin, (epi)catechin hexoside, proanthocyanidin dimer, and proanthocyanidin dimers and trimers hexosides. A total of 15 flavanols and their derivatives were identified using ultra-high-performance liquid chromatography with linear trap quadrupole-Orbitrap mass analyzer and epicatechin, gallocatechin, and proanthocyanidin trimer were identified only using this technique. However, proanthocyanidin trimer trihexoside was identified only by thin-layer chromatography with mass spectrometry. To establish the relationships between the flavanols and proanthocyanidins composition of rose hip and their origin, principal component analysis was performed on the entire set of liquid chromatography/mass spectrometry data. Both principal components’ scores plots showed that Rosa spinosissima could be considered as an outlier. Our study demonstrated that flavanol and proanthocyanidin profiles of different rose hips depend on the geographical origin rather than on the cultivar and genotype.
T2  - Journal of Separation Science
T1  - Establishing the chromatographic fingerprints of flavan-3-ols and proanthocyanidins from rose hip (Rosa sp.) species
VL  - 43
IS  - 8
SP  - 1431
EP  - 1439
DO  - 10.1002/jssc.201901271
ER  - 
@article{
author = "Dabić-Zagorac, Dragana and Fotirić-Akšić, Milica M. and Glavnik, Vesna and Gašić, Uroš M. and Vovk, Irena and Tešić, Živoslav Lj. and Natić, Maja",
year = "2020",
url = "http://cherry.chem.bg.ac.rs/handle/123456789/4004",
abstract = "The profile of flavan-3-ols and proanthocyanidins in five different Rosa species (R. canina, R. glutinosa, R. rubiginosa, R. multiflora, and R. spinosissima) was estimated on high performance thin layer chromatography cellulose plates. Differences in flavanol and proanthocyanidin profiles of the extracts were evident, among which Rosa spinosissima stood out with catechin as the only detected flavanol and red zones as indication of anthocyanins. Furthermore, the elution solvent for thin layer chromatography with mass spectrometry analyses of glycosylated flavan-3-ols and proanthocyanidins was optimized, enabling identification of catechin, (epi)catechin hexoside, proanthocyanidin dimer, and proanthocyanidin dimers and trimers hexosides. A total of 15 flavanols and their derivatives were identified using ultra-high-performance liquid chromatography with linear trap quadrupole-Orbitrap mass analyzer and epicatechin, gallocatechin, and proanthocyanidin trimer were identified only using this technique. However, proanthocyanidin trimer trihexoside was identified only by thin-layer chromatography with mass spectrometry. To establish the relationships between the flavanols and proanthocyanidins composition of rose hip and their origin, principal component analysis was performed on the entire set of liquid chromatography/mass spectrometry data. Both principal components’ scores plots showed that Rosa spinosissima could be considered as an outlier. Our study demonstrated that flavanol and proanthocyanidin profiles of different rose hips depend on the geographical origin rather than on the cultivar and genotype.",
journal = "Journal of Separation Science",
title = "Establishing the chromatographic fingerprints of flavan-3-ols and proanthocyanidins from rose hip (Rosa sp.) species",
volume = "43",
number = "8",
pages = "1431-1439",
doi = "10.1002/jssc.201901271"
}
Dabić-Zagorac, D., Fotirić-Akšić, M. M., Glavnik, V., Gašić, U. M., Vovk, I., Tešić, Ž. Lj.,& Natić, M. (2020). Establishing the chromatographic fingerprints of flavan-3-ols and proanthocyanidins from rose hip (Rosa sp.) species.
Journal of Separation Science, 43(8), 1431-1439.
https://doi.org/10.1002/jssc.201901271
Dabić-Zagorac D, Fotirić-Akšić MM, Glavnik V, Gašić UM, Vovk I, Tešić ŽL, Natić M. Establishing the chromatographic fingerprints of flavan-3-ols and proanthocyanidins from rose hip (Rosa sp.) species. Journal of Separation Science. 2020;43(8):1431-1439
Dabić-Zagorac Dragana, Fotirić-Akšić Milica M., Glavnik Vesna, Gašić Uroš M., Vovk Irena, Tešić Živoslav Lj., Natić Maja, "Establishing the chromatographic fingerprints of flavan-3-ols and proanthocyanidins from rose hip (Rosa sp.) species" Journal of Separation Science, 43, no. 8 (2020):1431-1439,
https://doi.org/10.1002/jssc.201901271 .
1

Phenolic Composition Influences the Health-Promoting Potential of Bee-Pollen

Mosić, Mirjana; Trifković, Jelena; Vovk, Irena; Gašić, Uroš M.; Tešić, Živoslav Lj.; Šikoparija, Branko; Milojković-Opsenica, Dušanka

(MDPI AG, 2019)

TY  - JOUR
AU  - Mosić, Mirjana
AU  - Trifković, Jelena
AU  - Vovk, Irena
AU  - Gašić, Uroš M.
AU  - Tešić, Živoslav Lj.
AU  - Šikoparija, Branko
AU  - Milojković-Opsenica, Dušanka
PY  - 2019
UR  - http://cherry.chem.bg.ac.rs/handle/123456789/3774
PB  - MDPI AG
T2  - Biomolecules
T1  - Phenolic Composition Influences the
Health-Promoting Potential of Bee-Pollen
VL  - 9
IS  - 12
DO  - 10.3390/biom9120783
ER  - 
@article{
author = "Mosić, Mirjana and Trifković, Jelena and Vovk, Irena and Gašić, Uroš M. and Tešić, Živoslav Lj. and Šikoparija, Branko and Milojković-Opsenica, Dušanka",
year = "2019",
url = "http://cherry.chem.bg.ac.rs/handle/123456789/3774",
publisher = "MDPI AG",
journal = "Biomolecules",
title = "Phenolic Composition Influences the
Health-Promoting Potential of Bee-Pollen",
volume = "9",
number = "12",
doi = "10.3390/biom9120783"
}
Mosić, M., Trifković, J., Vovk, I., Gašić, U. M., Tešić, Ž. Lj., Šikoparija, B.,& Milojković-Opsenica, D. (2019). Phenolic Composition Influences the
Health-Promoting Potential of Bee-Pollen.
Biomolecules
MDPI AG., 9(12).
https://doi.org/10.3390/biom9120783
Mosić M, Trifković J, Vovk I, Gašić UM, Tešić ŽL, Šikoparija B, Milojković-Opsenica D. Phenolic Composition Influences the
Health-Promoting Potential of Bee-Pollen. Biomolecules. 2019;9(12)
Mosić Mirjana, Trifković Jelena, Vovk Irena, Gašić Uroš M., Tešić Živoslav Lj., Šikoparija Branko, Milojković-Opsenica Dušanka, "Phenolic Composition Influences the
Health-Promoting Potential of Bee-Pollen" Biomolecules, 9, no. 12 (2019),
https://doi.org/10.3390/biom9120783 .
1
8
3
8

Supplementary data for article: Mosić, M.; Trifković, J.; Vovk, I.; Gašić, U.; Tešić, Ž.; Šikoparija, B.; Milojković-Opsenica, D. Phenolic Composition Influences the Health-Promoting Potential of Bee-Pollen. Biomolecules 2019, 9 (12). https://doi.org/10.3390/biom9120783

Mosić, Mirjana; Trifković, Jelena; Vovk, Irena; Gašić, Uroš M.; Tešić, Živoslav Lj.; Šikoparija, Branko; Milojković-Opsenica, Dušanka

(MDPI AG, 2019)

TY  - BOOK
AU  - Mosić, Mirjana
AU  - Trifković, Jelena
AU  - Vovk, Irena
AU  - Gašić, Uroš M.
AU  - Tešić, Živoslav Lj.
AU  - Šikoparija, Branko
AU  - Milojković-Opsenica, Dušanka
PY  - 2019
UR  - http://cherry.chem.bg.ac.rs/handle/123456789/3775
PB  - MDPI AG
T2  - Biomolecules
T1  - Supplementary data for article:           Mosić, M.; Trifković, J.; Vovk, I.; Gašić, U.; Tešić, Ž.; Šikoparija, B.; Milojković-Opsenica, D. Phenolic Composition Influences the Health-Promoting Potential of Bee-Pollen. Biomolecules 2019, 9 (12). https://doi.org/10.3390/biom9120783
ER  - 
@book{
author = "Mosić, Mirjana and Trifković, Jelena and Vovk, Irena and Gašić, Uroš M. and Tešić, Živoslav Lj. and Šikoparija, Branko and Milojković-Opsenica, Dušanka",
year = "2019",
url = "http://cherry.chem.bg.ac.rs/handle/123456789/3775",
publisher = "MDPI AG",
journal = "Biomolecules",
title = "Supplementary data for article:           Mosić, M.; Trifković, J.; Vovk, I.; Gašić, U.; Tešić, Ž.; Šikoparija, B.; Milojković-Opsenica, D. Phenolic Composition Influences the Health-Promoting Potential of Bee-Pollen. Biomolecules 2019, 9 (12). https://doi.org/10.3390/biom9120783"
}
Mosić, M., Trifković, J., Vovk, I., Gašić, U. M., Tešić, Ž. Lj., Šikoparija, B.,& Milojković-Opsenica, D. (2019). Supplementary data for article:           Mosić, M.; Trifković, J.; Vovk, I.; Gašić, U.; Tešić, Ž.; Šikoparija, B.; Milojković-Opsenica, D. Phenolic Composition Influences the Health-Promoting Potential of Bee-Pollen. Biomolecules 2019, 9 (12). https://doi.org/10.3390/biom9120783.
Biomolecules
MDPI AG..
Mosić M, Trifković J, Vovk I, Gašić UM, Tešić ŽL, Šikoparija B, Milojković-Opsenica D. Supplementary data for article:           Mosić, M.; Trifković, J.; Vovk, I.; Gašić, U.; Tešić, Ž.; Šikoparija, B.; Milojković-Opsenica, D. Phenolic Composition Influences the Health-Promoting Potential of Bee-Pollen. Biomolecules 2019, 9 (12). https://doi.org/10.3390/biom9120783. Biomolecules. 2019;
Mosić Mirjana, Trifković Jelena, Vovk Irena, Gašić Uroš M., Tešić Živoslav Lj., Šikoparija Branko, Milojković-Opsenica Dušanka, "Supplementary data for article:           Mosić, M.; Trifković, J.; Vovk, I.; Gašić, U.; Tešić, Ž.; Šikoparija, B.; Milojković-Opsenica, D. Phenolic Composition Influences the Health-Promoting Potential of Bee-Pollen. Biomolecules 2019, 9 (12). https://doi.org/10.3390/biom9120783" Biomolecules (2019)

Supplementary data for article: Ristivojević, P.; Trifković, J.; Vovk, I.; Milojković-Opsenica, D. Comparative Study of Different Approaches for Multivariate Image Analysis in HPTLC Fingerprinting of Natural Products Such as Plant Resin. Talanta 2017, 162, 72–79. https://doi.org/10.1016/j.talanta.2016.10.023

Ristivojević, Petar; Trifković, Jelena; Vovk, Irena; Milojković-Opsenica, Dušanka

(Elsevier Science Bv, Amsterdam, 2017)

TY  - BOOK
AU  - Ristivojević, Petar
AU  - Trifković, Jelena
AU  - Vovk, Irena
AU  - Milojković-Opsenica, Dušanka
PY  - 2017
UR  - http://cherry.chem.bg.ac.rs/handle/123456789/3065
PB  - Elsevier Science Bv, Amsterdam
T2  - Talanta
T1  - Supplementary data for article:          Ristivojević, P.; Trifković, J.; Vovk, I.; Milojković-Opsenica, D. Comparative Study of Different Approaches for Multivariate Image Analysis in HPTLC Fingerprinting of Natural Products Such as Plant Resin. Talanta 2017, 162, 72–79. https://doi.org/10.1016/j.talanta.2016.10.023
DO  - 10.1016/j.talanta.2016.10.023
ER  - 
@book{
author = "Ristivojević, Petar and Trifković, Jelena and Vovk, Irena and Milojković-Opsenica, Dušanka",
year = "2017",
url = "http://cherry.chem.bg.ac.rs/handle/123456789/3065",
publisher = "Elsevier Science Bv, Amsterdam",
journal = "Talanta",
title = "Supplementary data for article:          Ristivojević, P.; Trifković, J.; Vovk, I.; Milojković-Opsenica, D. Comparative Study of Different Approaches for Multivariate Image Analysis in HPTLC Fingerprinting of Natural Products Such as Plant Resin. Talanta 2017, 162, 72–79. https://doi.org/10.1016/j.talanta.2016.10.023",
doi = "10.1016/j.talanta.2016.10.023"
}
Ristivojević, P., Trifković, J., Vovk, I.,& Milojković-Opsenica, D. (2017). Supplementary data for article:          Ristivojević, P.; Trifković, J.; Vovk, I.; Milojković-Opsenica, D. Comparative Study of Different Approaches for Multivariate Image Analysis in HPTLC Fingerprinting of Natural Products Such as Plant Resin. Talanta 2017, 162, 72–79. https://doi.org/10.1016/j.talanta.2016.10.023.
Talanta
Elsevier Science Bv, Amsterdam..
https://doi.org/10.1016/j.talanta.2016.10.023
Ristivojević P, Trifković J, Vovk I, Milojković-Opsenica D. Supplementary data for article:          Ristivojević, P.; Trifković, J.; Vovk, I.; Milojković-Opsenica, D. Comparative Study of Different Approaches for Multivariate Image Analysis in HPTLC Fingerprinting of Natural Products Such as Plant Resin. Talanta 2017, 162, 72–79. https://doi.org/10.1016/j.talanta.2016.10.023. Talanta. 2017;
Ristivojević Petar, Trifković Jelena, Vovk Irena, Milojković-Opsenica Dušanka, "Supplementary data for article:          Ristivojević, P.; Trifković, J.; Vovk, I.; Milojković-Opsenica, D. Comparative Study of Different Approaches for Multivariate Image Analysis in HPTLC Fingerprinting of Natural Products Such as Plant Resin. Talanta 2017, 162, 72–79. https://doi.org/10.1016/j.talanta.2016.10.023" Talanta (2017),
https://doi.org/10.1016/j.talanta.2016.10.023 .
29
27
34

Comparative study of different approaches for multivariate image analysis in HPTLC fingerprinting of natural products such as plant resin

Ristivojević, Petar; Trifković, Jelena; Vovk, Irena; Milojković-Opsenica, Dušanka

(Elsevier Science Bv, Amsterdam, 2017)

TY  - JOUR
AU  - Ristivojević, Petar
AU  - Trifković, Jelena
AU  - Vovk, Irena
AU  - Milojković-Opsenica, Dušanka
PY  - 2017
UR  - http://cherry.chem.bg.ac.rs/handle/123456789/2359
AB  - Considering the introduction of phytochemical fingerprint analysis, as a method of screening the complex natural products for the presence of most bioactive compounds, use of chemometric classification methods, application of powerful scanning and image capturing and processing devices and algorithms, advancement in development of novel stationary phases as well as various separation modalities, high-performance thin-layer chromatography (HPTLC) fingerprinting is becoming attractive and fruitful field of separation science. Multivariate image analysis is crucial in the light of proper data acquisition. In a current study, different image processing procedures were studied and compared in detail on the example of HPTLC chromatograms of plant resins. In that sense, obtained variables such as gray intensities of pixels along the solvent front, peak area and mean values of peak were used as input data and compared to obtained best classification models. Important steps in image analysis, baseline removal, denoising, target peak alignment and normalization were pointed out. Numerical data set based on mean value of selected bands and intensities of pixels along the solvent front proved to be the most convenient for planar-chromatographic profiling, although required at least the basic knowledge on image processing methodology, and could be proposed for further investigation in HPLTC fingerprinting.
PB  - Elsevier Science Bv, Amsterdam
T2  - Talanta
T1  - Comparative study of different approaches for multivariate image analysis in HPTLC fingerprinting of natural products such as plant resin
VL  - 162
SP  - 72
EP  - 79
DO  - 10.1016/j.talanta.2016.10.023
ER  - 
@article{
author = "Ristivojević, Petar and Trifković, Jelena and Vovk, Irena and Milojković-Opsenica, Dušanka",
year = "2017",
url = "http://cherry.chem.bg.ac.rs/handle/123456789/2359",
abstract = "Considering the introduction of phytochemical fingerprint analysis, as a method of screening the complex natural products for the presence of most bioactive compounds, use of chemometric classification methods, application of powerful scanning and image capturing and processing devices and algorithms, advancement in development of novel stationary phases as well as various separation modalities, high-performance thin-layer chromatography (HPTLC) fingerprinting is becoming attractive and fruitful field of separation science. Multivariate image analysis is crucial in the light of proper data acquisition. In a current study, different image processing procedures were studied and compared in detail on the example of HPTLC chromatograms of plant resins. In that sense, obtained variables such as gray intensities of pixels along the solvent front, peak area and mean values of peak were used as input data and compared to obtained best classification models. Important steps in image analysis, baseline removal, denoising, target peak alignment and normalization were pointed out. Numerical data set based on mean value of selected bands and intensities of pixels along the solvent front proved to be the most convenient for planar-chromatographic profiling, although required at least the basic knowledge on image processing methodology, and could be proposed for further investigation in HPLTC fingerprinting.",
publisher = "Elsevier Science Bv, Amsterdam",
journal = "Talanta",
title = "Comparative study of different approaches for multivariate image analysis in HPTLC fingerprinting of natural products such as plant resin",
volume = "162",
pages = "72-79",
doi = "10.1016/j.talanta.2016.10.023"
}
Ristivojević, P., Trifković, J., Vovk, I.,& Milojković-Opsenica, D. (2017). Comparative study of different approaches for multivariate image analysis in HPTLC fingerprinting of natural products such as plant resin.
Talanta
Elsevier Science Bv, Amsterdam., 162, 72-79.
https://doi.org/10.1016/j.talanta.2016.10.023
Ristivojević P, Trifković J, Vovk I, Milojković-Opsenica D. Comparative study of different approaches for multivariate image analysis in HPTLC fingerprinting of natural products such as plant resin. Talanta. 2017;162:72-79
Ristivojević Petar, Trifković Jelena, Vovk Irena, Milojković-Opsenica Dušanka, "Comparative study of different approaches for multivariate image analysis in HPTLC fingerprinting of natural products such as plant resin" Talanta, 162 (2017):72-79,
https://doi.org/10.1016/j.talanta.2016.10.023 .
29
27
34

Quality assessment of marketed chamomile tea products by a validated HPTLC method combined with multivariate analysis

Guzelmeric, Etil; Ristivojević, Petar; Vovk, Irena; Milojković-Opsenica, Dušanka; Yesilada, Erdem

(Elsevier Science Bv, Amsterdam, 2017)

TY  - JOUR
AU  - Guzelmeric, Etil
AU  - Ristivojević, Petar
AU  - Vovk, Irena
AU  - Milojković-Opsenica, Dušanka
AU  - Yesilada, Erdem
PY  - 2017
UR  - http://cherry.chem.bg.ac.rs/handle/123456789/2358
AB  - Chamomile tea composed of dried flower heads of Matricaria recutita L. (Asteraceae) is one of the most popular single ingredient herbal teas. Tea industries, spice shops or public bazaars are mostly supplied chamomile as a raw material via cultivation or through nature-picking. However, one of the drawbacks of nature-picking is adulteration. This could be either due to false authentication of the plant materials by ingenuous pickers or intentional/unintentional substitution with other flowers resembling to chamomile in appearance during harvesting. Therefore, quality control of raw chamomile materials before marketing should be carefully considered not only by quantification of apigenin 7-O-glucoside (active marker) but also by fingerprinting of chemical composition. This work presents both quantification of apigenin 7-O-glucoside and chemical fingerprinting of commercial chamomile tea products obtained from different food stores and spice shops by a validated HPTLC method. In addition, HPTLC profiles of investigated chamomile tea samples were compared with HPLC method stated in the European Pharmacopoeia and it was found that HPTLC method was superior to HPLC method in the field of adulteration confirmation. Therefore, fingerprint profiles performed on the silica gel 60 NH2 F254S HPTLC plates combined with pattern recognition techniques of these marketed products were comparatively evaluated with wild and cultivar chamomile samples and also chamomile-like species from Asteraceae. Consequently, not chamomile tea bags but crude flowers sold on market were found to be adulterated with other plant materials. (C) 2016 Elsevier B.V. All rights reserved.
PB  - Elsevier Science Bv, Amsterdam
T2  - Journal of Pharmaceutical and Biomedical Analysis
T1  - Quality assessment of marketed chamomile tea products by a validated HPTLC method combined with multivariate analysis
VL  - 132
SP  - 35
EP  - 45
DO  - 10.1016/j.jpba.2016.09.030
ER  - 
@article{
author = "Guzelmeric, Etil and Ristivojević, Petar and Vovk, Irena and Milojković-Opsenica, Dušanka and Yesilada, Erdem",
year = "2017",
url = "http://cherry.chem.bg.ac.rs/handle/123456789/2358",
abstract = "Chamomile tea composed of dried flower heads of Matricaria recutita L. (Asteraceae) is one of the most popular single ingredient herbal teas. Tea industries, spice shops or public bazaars are mostly supplied chamomile as a raw material via cultivation or through nature-picking. However, one of the drawbacks of nature-picking is adulteration. This could be either due to false authentication of the plant materials by ingenuous pickers or intentional/unintentional substitution with other flowers resembling to chamomile in appearance during harvesting. Therefore, quality control of raw chamomile materials before marketing should be carefully considered not only by quantification of apigenin 7-O-glucoside (active marker) but also by fingerprinting of chemical composition. This work presents both quantification of apigenin 7-O-glucoside and chemical fingerprinting of commercial chamomile tea products obtained from different food stores and spice shops by a validated HPTLC method. In addition, HPTLC profiles of investigated chamomile tea samples were compared with HPLC method stated in the European Pharmacopoeia and it was found that HPTLC method was superior to HPLC method in the field of adulteration confirmation. Therefore, fingerprint profiles performed on the silica gel 60 NH2 F254S HPTLC plates combined with pattern recognition techniques of these marketed products were comparatively evaluated with wild and cultivar chamomile samples and also chamomile-like species from Asteraceae. Consequently, not chamomile tea bags but crude flowers sold on market were found to be adulterated with other plant materials. (C) 2016 Elsevier B.V. All rights reserved.",
publisher = "Elsevier Science Bv, Amsterdam",
journal = "Journal of Pharmaceutical and Biomedical Analysis",
title = "Quality assessment of marketed chamomile tea products by a validated HPTLC method combined with multivariate analysis",
volume = "132",
pages = "35-45",
doi = "10.1016/j.jpba.2016.09.030"
}
Guzelmeric, E., Ristivojević, P., Vovk, I., Milojković-Opsenica, D.,& Yesilada, E. (2017). Quality assessment of marketed chamomile tea products by a validated HPTLC method combined with multivariate analysis.
Journal of Pharmaceutical and Biomedical Analysis
Elsevier Science Bv, Amsterdam., 132, 35-45.
https://doi.org/10.1016/j.jpba.2016.09.030
Guzelmeric E, Ristivojević P, Vovk I, Milojković-Opsenica D, Yesilada E. Quality assessment of marketed chamomile tea products by a validated HPTLC method combined with multivariate analysis. Journal of Pharmaceutical and Biomedical Analysis. 2017;132:35-45
Guzelmeric Etil, Ristivojević Petar, Vovk Irena, Milojković-Opsenica Dušanka, Yesilada Erdem, "Quality assessment of marketed chamomile tea products by a validated HPTLC method combined with multivariate analysis" Journal of Pharmaceutical and Biomedical Analysis, 132 (2017):35-45,
https://doi.org/10.1016/j.jpba.2016.09.030 .
26
22
27

Supplementary data for the article: Ristivojević, P.; Dimkić, I.; Trifković, J.; Berić, T.; Vovk, I.; Milojkovič-Opsenica, D.; Stanković, S. Antimicrobial Activity of Serbian Propolis Evaluated by Means of MIC, HPTLC, Bioautography and Chemometrics. PLoS ONE 2016, 11 (6). https://doi.org/10.1371/journal.pone.0157097

Ristivojević, Petar; Dimkić, Ivica; Trifković, Jelena; Berić, Tanja; Vovk, Irena; Milojković-Opsenica, Dušanka; Stanković, Slaviša

(Public Library Science, San Francisco, 2016)

TY  - BOOK
AU  - Ristivojević, Petar
AU  - Dimkić, Ivica
AU  - Trifković, Jelena
AU  - Berić, Tanja
AU  - Vovk, Irena
AU  - Milojković-Opsenica, Dušanka
AU  - Stanković, Slaviša
PY  - 2016
UR  - http://cherry.chem.bg.ac.rs/handle/123456789/3345
PB  - Public Library Science, San Francisco
T2  - PLoS One / Public Library of Science
T1  - Supplementary data for the article: Ristivojević, P.; Dimkić, I.; Trifković, J.; Berić, T.; Vovk, I.; Milojkovič-Opsenica, D.; Stanković, S. Antimicrobial Activity of Serbian Propolis Evaluated by Means of MIC, HPTLC, Bioautography and Chemometrics. PLoS ONE 2016, 11 (6). https://doi.org/10.1371/journal.pone.0157097
ER  - 
@book{
author = "Ristivojević, Petar and Dimkić, Ivica and Trifković, Jelena and Berić, Tanja and Vovk, Irena and Milojković-Opsenica, Dušanka and Stanković, Slaviša",
year = "2016",
url = "http://cherry.chem.bg.ac.rs/handle/123456789/3345",
publisher = "Public Library Science, San Francisco",
journal = "PLoS One / Public Library of Science",
title = "Supplementary data for the article: Ristivojević, P.; Dimkić, I.; Trifković, J.; Berić, T.; Vovk, I.; Milojkovič-Opsenica, D.; Stanković, S. Antimicrobial Activity of Serbian Propolis Evaluated by Means of MIC, HPTLC, Bioautography and Chemometrics. PLoS ONE 2016, 11 (6). https://doi.org/10.1371/journal.pone.0157097"
}
Ristivojević, P., Dimkić, I., Trifković, J., Berić, T., Vovk, I., Milojković-Opsenica, D.,& Stanković, S. (2016). Supplementary data for the article: Ristivojević, P.; Dimkić, I.; Trifković, J.; Berić, T.; Vovk, I.; Milojkovič-Opsenica, D.; Stanković, S. Antimicrobial Activity of Serbian Propolis Evaluated by Means of MIC, HPTLC, Bioautography and Chemometrics. PLoS ONE 2016, 11 (6). https://doi.org/10.1371/journal.pone.0157097.
PLoS One / Public Library of Science
Public Library Science, San Francisco..
Ristivojević P, Dimkić I, Trifković J, Berić T, Vovk I, Milojković-Opsenica D, Stanković S. Supplementary data for the article: Ristivojević, P.; Dimkić, I.; Trifković, J.; Berić, T.; Vovk, I.; Milojkovič-Opsenica, D.; Stanković, S. Antimicrobial Activity of Serbian Propolis Evaluated by Means of MIC, HPTLC, Bioautography and Chemometrics. PLoS ONE 2016, 11 (6). https://doi.org/10.1371/journal.pone.0157097. PLoS One / Public Library of Science. 2016;
Ristivojević Petar, Dimkić Ivica, Trifković Jelena, Berić Tanja, Vovk Irena, Milojković-Opsenica Dušanka, Stanković Slaviša, "Supplementary data for the article: Ristivojević, P.; Dimkić, I.; Trifković, J.; Berić, T.; Vovk, I.; Milojkovič-Opsenica, D.; Stanković, S. Antimicrobial Activity of Serbian Propolis Evaluated by Means of MIC, HPTLC, Bioautography and Chemometrics. PLoS ONE 2016, 11 (6). https://doi.org/10.1371/journal.pone.0157097" PLoS One / Public Library of Science (2016)

TLC Fingerprinting and Pattern Recognition Methods in the Assessment of Authenticity of Poplar-Type Propolis

Milojković-Opsenica, Dušanka; Ristivojević, Petar; Trifković, Jelena; Vovk, Irena; Lušić, Dražen; Tešić, Živoslav Lj.

(Oxford Univ Press Inc, Cary, 2016)

TY  - JOUR
AU  - Milojković-Opsenica, Dušanka
AU  - Ristivojević, Petar
AU  - Trifković, Jelena
AU  - Vovk, Irena
AU  - Lušić, Dražen
AU  - Tešić, Živoslav Lj.
PY  - 2016
UR  - http://cherry.chem.bg.ac.rs/handle/123456789/2360
AB  - Propolis is a "natural" remedy with prominent biological activity, which is used as dietary supplement. In the absence of clinical studies that would substantiate these claims, information on the biological activity of propolis is valuable. This study comprises chromatographic, image processing and chemometric approach for phenolic profiling of Serbian, Croatian and Slovenian propolis test solutions. Modern thin-layer chromatography equipment in combination with software for image processing was applied for fingerprinting and data acquisition, whereas the principal component analysis was used as pattern recognition method. Characterization of phenolic profile was performed along with the determination of the botanical and geographical origin of propolis. High-performance thin-layer chromatograms reveal that Central and Southeastern European propolis samples are rich in flavonoids. In addition, phenolic compounds proved to be suitable markers for the determination of European propolis authenticity.
PB  - Oxford Univ Press Inc, Cary
T2  - Journal of Chromatographic Science
T1  - TLC Fingerprinting and Pattern Recognition Methods in the Assessment of Authenticity of Poplar-Type Propolis
VL  - 54
IS  - 7
SP  - 1077
EP  - 1083
DO  - 10.1093/chromsci/bmw024
ER  - 
@article{
author = "Milojković-Opsenica, Dušanka and Ristivojević, Petar and Trifković, Jelena and Vovk, Irena and Lušić, Dražen and Tešić, Živoslav Lj.",
year = "2016",
url = "http://cherry.chem.bg.ac.rs/handle/123456789/2360",
abstract = "Propolis is a "natural" remedy with prominent biological activity, which is used as dietary supplement. In the absence of clinical studies that would substantiate these claims, information on the biological activity of propolis is valuable. This study comprises chromatographic, image processing and chemometric approach for phenolic profiling of Serbian, Croatian and Slovenian propolis test solutions. Modern thin-layer chromatography equipment in combination with software for image processing was applied for fingerprinting and data acquisition, whereas the principal component analysis was used as pattern recognition method. Characterization of phenolic profile was performed along with the determination of the botanical and geographical origin of propolis. High-performance thin-layer chromatograms reveal that Central and Southeastern European propolis samples are rich in flavonoids. In addition, phenolic compounds proved to be suitable markers for the determination of European propolis authenticity.",
publisher = "Oxford Univ Press Inc, Cary",
journal = "Journal of Chromatographic Science",
title = "TLC Fingerprinting and Pattern Recognition Methods in the Assessment of Authenticity of Poplar-Type Propolis",
volume = "54",
number = "7",
pages = "1077-1083",
doi = "10.1093/chromsci/bmw024"
}
Milojković-Opsenica, D., Ristivojević, P., Trifković, J., Vovk, I., Lušić, D.,& Tešić, Ž. Lj. (2016). TLC Fingerprinting and Pattern Recognition Methods in the Assessment of Authenticity of Poplar-Type Propolis.
Journal of Chromatographic Science
Oxford Univ Press Inc, Cary., 54(7), 1077-1083.
https://doi.org/10.1093/chromsci/bmw024
Milojković-Opsenica D, Ristivojević P, Trifković J, Vovk I, Lušić D, Tešić ŽL. TLC Fingerprinting and Pattern Recognition Methods in the Assessment of Authenticity of Poplar-Type Propolis. Journal of Chromatographic Science. 2016;54(7):1077-1083
Milojković-Opsenica Dušanka, Ristivojević Petar, Trifković Jelena, Vovk Irena, Lušić Dražen, Tešić Živoslav Lj., "TLC Fingerprinting and Pattern Recognition Methods in the Assessment of Authenticity of Poplar-Type Propolis" Journal of Chromatographic Science, 54, no. 7 (2016):1077-1083,
https://doi.org/10.1093/chromsci/bmw024 .
29
23
26

Antimicrobial Activity of Serbian Propolis Evaluated by Means of MIC, HPTLC, Bioautography and Chemometrics

Ristivojević, Petar; Dimkić, Ivica; Trifković, Jelena; Berić, Tanja; Vovk, Irena; Milojković-Opsenica, Dušanka; Stanković, Slaviša

(Public Library Science, San Francisco, 2016)

TY  - JOUR
AU  - Ristivojević, Petar
AU  - Dimkić, Ivica
AU  - Trifković, Jelena
AU  - Berić, Tanja
AU  - Vovk, Irena
AU  - Milojković-Opsenica, Dušanka
AU  - Stanković, Slaviša
PY  - 2016
UR  - http://cherry.chem.bg.ac.rs/handle/123456789/2261
AB  - New information has come to light about the biological activity of propolis and the quality of natural products which requires a rapid and reliable assessment method such as High Performance Thin-Layer Chromatography (HPTLC) fingerprinting. This study investigates chromatographic and chemometric approaches for determining the antimicrobial activity of propolis of Serbian origin against various bacterial species. A linear multivariate calibration technique, using Partial Least Squares, was used to extract the relevant information from the chromatographic fingerprints, i.e. to indicate peaks which represent phenolic compounds that are potentially responsible for the antimicrobial capacity of the samples. In addition, direct bioautography was performed to localize the antibacterial activity on chromatograms. The biological activity of the propolis samples against various bacterial species was determined by a minimum inhibitory concentration assay, confirming their affiliation with the European poplar type of propolis and revealing the existence of two types (blue and orange) according to botanical origin. The strongest antibacterial activity was exhibited by sample 26 against Staphylococcus aureus, with a MIC value of 0.5 mg/mL, and Listeria monocytogenes, with a MIC as low as 0.1 mg/mL, which was also the lowest effective concentration observed in our study. Generally, the orange type of propolis shows higher antimicrobial activity compared to the blue type. PLS modelling was performed on the HPTLC data set and the resulting models might qualitatively indicate compounds that play an important role in the activity exhibited by the propolis samples. The most relevant peaks influencing the antimicrobial activity of propolis against all bacterial strains were phenolic compounds at RF values of 0.37, 0.40, 0.45, 0.51, 0.60 and 0.70. The knowledge gained through this study could be important for attributing the antimicrobial activity of propolis to specific chemical compounds, as well as the verification of HPTLC fingerprinting as a reliable method for the identification of compounds that are potentially responsible for antimicrobial activity. This is the first report on the activity of Serbian propolis as determined by several combined methods, including the modelling of antimicrobial activity by HPTLC fingerprinting.
PB  - Public Library Science, San Francisco
T2  - PLoS One / Public Library of Science
T1  - Antimicrobial Activity of Serbian Propolis Evaluated by Means of MIC, HPTLC, Bioautography and Chemometrics
VL  - 11
IS  - 6
DO  - 10.1371/journal.pone.0157097
ER  - 
@article{
author = "Ristivojević, Petar and Dimkić, Ivica and Trifković, Jelena and Berić, Tanja and Vovk, Irena and Milojković-Opsenica, Dušanka and Stanković, Slaviša",
year = "2016",
url = "http://cherry.chem.bg.ac.rs/handle/123456789/2261",
abstract = "New information has come to light about the biological activity of propolis and the quality of natural products which requires a rapid and reliable assessment method such as High Performance Thin-Layer Chromatography (HPTLC) fingerprinting. This study investigates chromatographic and chemometric approaches for determining the antimicrobial activity of propolis of Serbian origin against various bacterial species. A linear multivariate calibration technique, using Partial Least Squares, was used to extract the relevant information from the chromatographic fingerprints, i.e. to indicate peaks which represent phenolic compounds that are potentially responsible for the antimicrobial capacity of the samples. In addition, direct bioautography was performed to localize the antibacterial activity on chromatograms. The biological activity of the propolis samples against various bacterial species was determined by a minimum inhibitory concentration assay, confirming their affiliation with the European poplar type of propolis and revealing the existence of two types (blue and orange) according to botanical origin. The strongest antibacterial activity was exhibited by sample 26 against Staphylococcus aureus, with a MIC value of 0.5 mg/mL, and Listeria monocytogenes, with a MIC as low as 0.1 mg/mL, which was also the lowest effective concentration observed in our study. Generally, the orange type of propolis shows higher antimicrobial activity compared to the blue type. PLS modelling was performed on the HPTLC data set and the resulting models might qualitatively indicate compounds that play an important role in the activity exhibited by the propolis samples. The most relevant peaks influencing the antimicrobial activity of propolis against all bacterial strains were phenolic compounds at RF values of 0.37, 0.40, 0.45, 0.51, 0.60 and 0.70. The knowledge gained through this study could be important for attributing the antimicrobial activity of propolis to specific chemical compounds, as well as the verification of HPTLC fingerprinting as a reliable method for the identification of compounds that are potentially responsible for antimicrobial activity. This is the first report on the activity of Serbian propolis as determined by several combined methods, including the modelling of antimicrobial activity by HPTLC fingerprinting.",
publisher = "Public Library Science, San Francisco",
journal = "PLoS One / Public Library of Science",
title = "Antimicrobial Activity of Serbian Propolis Evaluated by Means of MIC, HPTLC, Bioautography and Chemometrics",
volume = "11",
number = "6",
doi = "10.1371/journal.pone.0157097"
}
Ristivojević, P., Dimkić, I., Trifković, J., Berić, T., Vovk, I., Milojković-Opsenica, D.,& Stanković, S. (2016). Antimicrobial Activity of Serbian Propolis Evaluated by Means of MIC, HPTLC, Bioautography and Chemometrics.
PLoS One / Public Library of Science
Public Library Science, San Francisco., 11(6).
https://doi.org/10.1371/journal.pone.0157097
Ristivojević P, Dimkić I, Trifković J, Berić T, Vovk I, Milojković-Opsenica D, Stanković S. Antimicrobial Activity of Serbian Propolis Evaluated by Means of MIC, HPTLC, Bioautography and Chemometrics. PLoS One / Public Library of Science. 2016;11(6)
Ristivojević Petar, Dimkić Ivica, Trifković Jelena, Berić Tanja, Vovk Irena, Milojković-Opsenica Dušanka, Stanković Slaviša, "Antimicrobial Activity of Serbian Propolis Evaluated by Means of MIC, HPTLC, Bioautography and Chemometrics" PLoS One / Public Library of Science, 11, no. 6 (2016),
https://doi.org/10.1371/journal.pone.0157097 .
1
43
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Pattern recognition methods and multivariate image analysis in HPTLC fingerprinting of propolis extracts

Ristivojević, Petar; Andrić, Filip; Trifković, Jelena; Vovk, Irena; Stanisavljević, Ljubiša; Tešić, Živoslav Lj.; Milojković-Opsenica, Dušanka

(Wiley-Blackwell, Hoboken, 2014)

TY  - JOUR
AU  - Ristivojević, Petar
AU  - Andrić, Filip
AU  - Trifković, Jelena
AU  - Vovk, Irena
AU  - Stanisavljević, Ljubiša
AU  - Tešić, Živoslav Lj.
AU  - Milojković-Opsenica, Dušanka
PY  - 2014
UR  - http://cherry.chem.bg.ac.rs/handle/123456789/1521
AB  - High-performance thin-layer chromatography (HPTLC) combined with image analysis and pattern recognition methods were used for fingerprinting and classification of 52 propolis samples collected from Serbia and one sample from Croatia. Modern thin-layer chromatography equipment in combination with software for image processing and warping was applied for fingerprinting and data acquisition. The three mostly used chemometric techniques for classification, principal component analysis, cluster analysis and partial least square-discriminant analysis, in combination with simple and fast HPTLC method for fingerprint analysis of propolis, were performed in order to favor and encourage their use in planar chromatography. HPTLC fingerprint analysis of propolis was for the first time performed on amino silica plates. All studied propolis samples have been classified in two major types, orange and blue, supporting the idea of existence of two types of European propolis. Signals at specific R-F values responsible for classification of studied extracts have also been isolated and underlying compounds targeted for further investigation. Copyright (c) 2014 John Wiley & Sons, Ltd. High-performance thin-layer chromatography combined with image analysis and pattern recognition methods were used for fingerprinting and classification of 53 propolis samples. High-performance thin-layer chromatography analysis of propolis was for the first time performed on amino silica plates. All studied propolis samples have been classified in two major types, orange and blue, supporting the idea of existence of two varieties of European propolis. Signals at specific R-F values responsible for classification of studied extracts have also been isolated and underlying compounds targeted for further investigation.
PB  - Wiley-Blackwell, Hoboken
T2  - Journal of Chemometrics
T1  - Pattern recognition methods and multivariate image analysis in HPTLC fingerprinting of propolis extracts
VL  - 28
IS  - 4
SP  - 301
EP  - 310
DO  - 10.1002/cem.2592
ER  - 
@article{
author = "Ristivojević, Petar and Andrić, Filip and Trifković, Jelena and Vovk, Irena and Stanisavljević, Ljubiša and Tešić, Živoslav Lj. and Milojković-Opsenica, Dušanka",
year = "2014",
url = "http://cherry.chem.bg.ac.rs/handle/123456789/1521",
abstract = "High-performance thin-layer chromatography (HPTLC) combined with image analysis and pattern recognition methods were used for fingerprinting and classification of 52 propolis samples collected from Serbia and one sample from Croatia. Modern thin-layer chromatography equipment in combination with software for image processing and warping was applied for fingerprinting and data acquisition. The three mostly used chemometric techniques for classification, principal component analysis, cluster analysis and partial least square-discriminant analysis, in combination with simple and fast HPTLC method for fingerprint analysis of propolis, were performed in order to favor and encourage their use in planar chromatography. HPTLC fingerprint analysis of propolis was for the first time performed on amino silica plates. All studied propolis samples have been classified in two major types, orange and blue, supporting the idea of existence of two types of European propolis. Signals at specific R-F values responsible for classification of studied extracts have also been isolated and underlying compounds targeted for further investigation. Copyright (c) 2014 John Wiley & Sons, Ltd. High-performance thin-layer chromatography combined with image analysis and pattern recognition methods were used for fingerprinting and classification of 53 propolis samples. High-performance thin-layer chromatography analysis of propolis was for the first time performed on amino silica plates. All studied propolis samples have been classified in two major types, orange and blue, supporting the idea of existence of two varieties of European propolis. Signals at specific R-F values responsible for classification of studied extracts have also been isolated and underlying compounds targeted for further investigation.",
publisher = "Wiley-Blackwell, Hoboken",
journal = "Journal of Chemometrics",
title = "Pattern recognition methods and multivariate image analysis in HPTLC fingerprinting of propolis extracts",
volume = "28",
number = "4",
pages = "301-310",
doi = "10.1002/cem.2592"
}
Ristivojević, P., Andrić, F., Trifković, J., Vovk, I., Stanisavljević, L., Tešić, Ž. Lj.,& Milojković-Opsenica, D. (2014). Pattern recognition methods and multivariate image analysis in HPTLC fingerprinting of propolis extracts.
Journal of Chemometrics
Wiley-Blackwell, Hoboken., 28(4), 301-310.
https://doi.org/10.1002/cem.2592
Ristivojević P, Andrić F, Trifković J, Vovk I, Stanisavljević L, Tešić ŽL, Milojković-Opsenica D. Pattern recognition methods and multivariate image analysis in HPTLC fingerprinting of propolis extracts. Journal of Chemometrics. 2014;28(4):301-310
Ristivojević Petar, Andrić Filip, Trifković Jelena, Vovk Irena, Stanisavljević Ljubiša, Tešić Živoslav Lj., Milojković-Opsenica Dušanka, "Pattern recognition methods and multivariate image analysis in HPTLC fingerprinting of propolis extracts" Journal of Chemometrics, 28, no. 4 (2014):301-310,
https://doi.org/10.1002/cem.2592 .
51
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53