TY  - CONF
AU  - Kilibarda, S.
AU  - Mačukanović- Jocić, M.
AU  - Rančić, D.
AU  - Pećinar, I.
AU  - Šoštarić, I.
AU  - Aćić, S.
AU  - Kolašinac, S.
AU  - Veljović, M.
AU  - Pajić-Lijaković, I.
PY  - 2022
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/6548
AB  - The Balkan Peninsula is characterized by a great diversity of flora and vegetation. Moreover, it is native to
a large number of wild plant species containing carotenoids, biologically active compounds, beneficial for
human health. Carotenoid pigments exhibit a great antioxidant and anti-inflammatory effect, in addition to
beneficial impact on eye health, heart, blood vessels, cognitive function and antiaging. Nevertheless, their
role has been scientifically proven in prevention and treatment of cancer.
The aim of the research was to form a database on carotenoid plants of Serbia and the Balkans that is
set up electronically for easy access, management and updating. The research included the analysis and
organization of information on collected plants, as well as literature data related to the traditional use and
storage of plants and plant parts and products rich in carotenoids in fresh, dried or canned state.
Sixty wild plants from more than ten plant families were registered to contain these antioxidant pigments.
Among them three endemic species namely Lilium bosniacum (Beck) Fritsch (lily native to Bosnia and
Herzegovina), Ramonda nathaliae Pančić & Petrović and R. serbica Pančić were inscribed, of which the last
two are Tertiary relicts. The type and level of carotenoids varied depending on the plant species and organs
including leaves, petals, immature and ripe fruits, pulp, seeds, etc. According to database, fruits were the
richest source of these pigments. Reported carotenoid content, included both xanthophylls and carotenes,
whereas lutein and β-carotene were predominantly major compounds in berries and flowers respectively.
Total carotenoid content, determined by HPLC method, was the highest in fresh berries of Rubus fruticosus L.
(440 μg/100g)
C3  - 8th Balkan Botanical Congress
T1  - Overview of carotenoids distribution among wild plant species of the Balkan Peninsula
EP  - 84
SP  - 84
UR  - https://hdl.handle.net/21.15107/rcub_agrospace_6548
ER  - 

@conference{
author = "Kilibarda, S. and Mačukanović- Jocić, M. and Rančić, D. and Pećinar, I. and Šoštarić, I. and Aćić, S. and Kolašinac, S. and Veljović, M. and Pajić-Lijaković, I.",
year = "2022",
abstract = "The Balkan Peninsula is characterized by a great diversity of flora and vegetation. Moreover, it is native to
a large number of wild plant species containing carotenoids, biologically active compounds, beneficial for
human health. Carotenoid pigments exhibit a great antioxidant and anti-inflammatory effect, in addition to
beneficial impact on eye health, heart, blood vessels, cognitive function and antiaging. Nevertheless, their
role has been scientifically proven in prevention and treatment of cancer.
The aim of the research was to form a database on carotenoid plants of Serbia and the Balkans that is
set up electronically for easy access, management and updating. The research included the analysis and
organization of information on collected plants, as well as literature data related to the traditional use and
storage of plants and plant parts and products rich in carotenoids in fresh, dried or canned state.
Sixty wild plants from more than ten plant families were registered to contain these antioxidant pigments.
Among them three endemic species namely Lilium bosniacum (Beck) Fritsch (lily native to Bosnia and
Herzegovina), Ramonda nathaliae Pančić & Petrović and R. serbica Pančić were inscribed, of which the last
two are Tertiary relicts. The type and level of carotenoids varied depending on the plant species and organs
including leaves, petals, immature and ripe fruits, pulp, seeds, etc. According to database, fruits were the
richest source of these pigments. Reported carotenoid content, included both xanthophylls and carotenes,
whereas lutein and β-carotene were predominantly major compounds in berries and flowers respectively.
Total carotenoid content, determined by HPLC method, was the highest in fresh berries of Rubus fruticosus L.
(440 μg/100g)",
journal = "8th Balkan Botanical Congress",
title = "Overview of carotenoids distribution among wild plant species of the Balkan Peninsula",
pages = "84-84",
url = "https://hdl.handle.net/21.15107/rcub_agrospace_6548"
}

Kilibarda, S., Mačukanović- Jocić, M., Rančić, D., Pećinar, I., Šoštarić, I., Aćić, S., Kolašinac, S., Veljović, M.,& Pajić-Lijaković, I.. (2022). Overview of carotenoids distribution among wild plant species of the Balkan Peninsula. in 8th Balkan Botanical Congress, 84-84.
https://hdl.handle.net/21.15107/rcub_agrospace_6548

Kilibarda S, Mačukanović- Jocić M, Rančić D, Pećinar I, Šoštarić I, Aćić S, Kolašinac S, Veljović M, Pajić-Lijaković I. Overview of carotenoids distribution among wild plant species of the Balkan Peninsula. in 8th Balkan Botanical Congress. 2022;:84-84.
https://hdl.handle.net/21.15107/rcub_agrospace_6548 .

Kilibarda, S., Mačukanović- Jocić, M., Rančić, D., Pećinar, I., Šoštarić, I., Aćić, S., Kolašinac, S., Veljović, M., Pajić-Lijaković, I., "Overview of carotenoids distribution among wild plant species of the Balkan Peninsula" in 8th Balkan Botanical Congress (2022):84-84,
https://hdl.handle.net/21.15107/rcub_agrospace_6548 .

TY  - JOUR
AU  - Tsioutsiou, Efthymia .E.
AU  - Amountzias, Vaios
AU  - Vontzalidou, Argyro
AU  - Dina, Evanthia
AU  - Stevanović, Zora Dajić
AU  - Cheilari, Antigoni
AU  - Aligiannis, Nektarios
PY  - 2022
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/6145
AB  - A review research was conducted to provide an overview of the ethnobotanical knowledge of medicinal plants and traditional medical practices for the treatment of skin disorders in Albania, Cyprus, Greece, and Turkey. The geographical and ecological characteristics of the Balkan Peninsula and Mediterranean Sea, along with the historical connection among those countries, gave rise to the development of a distinct flora and to the uses of common medicinal plants against various skin ailments, respectively. The review focuses on the detailed study of 128 ethnobotanical surveys conducted in these areas and the species used for skin ailments were singled out. The analysis showed that 967 taxa belonging to 418 different genera and 111 different families are used in the treatment of skin related problems. The majority of the plants belong to the families of Asteraceae (11.7%), Lamiaceae (7.4%), Rosaceae (6.7%), Plantaginaceae (5.4%), and Malvaceae (3.8%). Their usage is internal or external to treat ailments such as wounds and burns (22.1%), hemorrhoids (14.7%), boils, abscesses, and furuncles (8.2%). Beside specific skin disorders, numerous species appeared to be used for their antifungal, antimicrobial, and antiseptic activity (9.1%). Literature evaluation highlighted that, the most commonly used species are Plantago major L. (Albania, Turkey), Hypericum perforatum L. (Greece, Turkey), Sambucus nigra L. (Cyprus, Greece), Ficus carica L. (Cyprus, Turkey), Matricaria chamomilla L. (Cyprus, Greece), and Urtica dioica L. (Albania, Turkey), while many medicinal plants reported by interviewees were common in all four countries. Finally, to relate this ethnopharmacological knowledge and trace its expansion and diversification through centuries, a comparison of findings was made with the use of the species mentioned in Dioscorides’ “De Materia Medica” for skin disorders. This work constitutes the first comparative study performed with ethnobotanical data for skin ailments gathered in the South Balkan and East Mediterranean areas. Results confirm the primary hypothesis that people in Albania, Cyprus, Greece, and Turkey are closely related in terms of traditionally using folk medicinal practices. Nevertheless, more field studies conducted, especially in remote places of these regions, can help preserve the traditional medical knowledge, aiming at the discovery of new phytotherapeutics against dermatological diseases. Copyright © 2022 Tsioutsiou, Amountzias, Vontzalidou, Dina, Stevanović, Cheilari and Aligiannis.
T2  - Frontiers in Pharmacology
T2  - Frontiers in Pharmacology
T1  - Medicinal Plants Used Traditionally for Skin Related Problems in the South Balkan and East Mediterranean Region—A Review
VL  - 13
DO  - 10.3389/fphar.2022.936047
ER  - 

@article{
author = "Tsioutsiou, Efthymia .E. and Amountzias, Vaios and Vontzalidou, Argyro and Dina, Evanthia and Stevanović, Zora Dajić and Cheilari, Antigoni and Aligiannis, Nektarios",
year = "2022",
abstract = "A review research was conducted to provide an overview of the ethnobotanical knowledge of medicinal plants and traditional medical practices for the treatment of skin disorders in Albania, Cyprus, Greece, and Turkey. The geographical and ecological characteristics of the Balkan Peninsula and Mediterranean Sea, along with the historical connection among those countries, gave rise to the development of a distinct flora and to the uses of common medicinal plants against various skin ailments, respectively. The review focuses on the detailed study of 128 ethnobotanical surveys conducted in these areas and the species used for skin ailments were singled out. The analysis showed that 967 taxa belonging to 418 different genera and 111 different families are used in the treatment of skin related problems. The majority of the plants belong to the families of Asteraceae (11.7%), Lamiaceae (7.4%), Rosaceae (6.7%), Plantaginaceae (5.4%), and Malvaceae (3.8%). Their usage is internal or external to treat ailments such as wounds and burns (22.1%), hemorrhoids (14.7%), boils, abscesses, and furuncles (8.2%). Beside specific skin disorders, numerous species appeared to be used for their antifungal, antimicrobial, and antiseptic activity (9.1%). Literature evaluation highlighted that, the most commonly used species are Plantago major L. (Albania, Turkey), Hypericum perforatum L. (Greece, Turkey), Sambucus nigra L. (Cyprus, Greece), Ficus carica L. (Cyprus, Turkey), Matricaria chamomilla L. (Cyprus, Greece), and Urtica dioica L. (Albania, Turkey), while many medicinal plants reported by interviewees were common in all four countries. Finally, to relate this ethnopharmacological knowledge and trace its expansion and diversification through centuries, a comparison of findings was made with the use of the species mentioned in Dioscorides’ “De Materia Medica” for skin disorders. This work constitutes the first comparative study performed with ethnobotanical data for skin ailments gathered in the South Balkan and East Mediterranean areas. Results confirm the primary hypothesis that people in Albania, Cyprus, Greece, and Turkey are closely related in terms of traditionally using folk medicinal practices. Nevertheless, more field studies conducted, especially in remote places of these regions, can help preserve the traditional medical knowledge, aiming at the discovery of new phytotherapeutics against dermatological diseases. Copyright © 2022 Tsioutsiou, Amountzias, Vontzalidou, Dina, Stevanović, Cheilari and Aligiannis.",
journal = "Frontiers in Pharmacology, Frontiers in Pharmacology",
title = "Medicinal Plants Used Traditionally for Skin Related Problems in the South Balkan and East Mediterranean Region—A Review",
volume = "13",
doi = "10.3389/fphar.2022.936047"
}

Tsioutsiou, E. .E., Amountzias, V., Vontzalidou, A., Dina, E., Stevanović, Z. D., Cheilari, A.,& Aligiannis, N.. (2022). Medicinal Plants Used Traditionally for Skin Related Problems in the South Balkan and East Mediterranean Region—A Review. in Frontiers in Pharmacology, 13.
https://doi.org/10.3389/fphar.2022.936047

Tsioutsiou E., Amountzias V, Vontzalidou A, Dina E, Stevanović ZD, Cheilari A, Aligiannis N. Medicinal Plants Used Traditionally for Skin Related Problems in the South Balkan and East Mediterranean Region—A Review. in Frontiers in Pharmacology. 2022;13.
doi:10.3389/fphar.2022.936047 .

Tsioutsiou, Efthymia .E., Amountzias, Vaios, Vontzalidou, Argyro, Dina, Evanthia, Stevanović, Zora Dajić, Cheilari, Antigoni, Aligiannis, Nektarios, "Medicinal Plants Used Traditionally for Skin Related Problems in the South Balkan and East Mediterranean Region—A Review" in Frontiers in Pharmacology, 13 (2022),
https://doi.org/10.3389/fphar.2022.936047 . .

TY  - CONF
AU  - Kolašinac, Stefan M.
AU  - Pećinar, Ilinka
AU  - Dajić Stevanović, Zora P.
PY  - 2021
UR  - https://ibsc2021.pmf.uns.ac.rs/ebook-of-abstracts/
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/6549
AB  - INTRODUCTION:
According to Codex Alimentarius (2001), “Honey is the natural sweet substance, produced by honeybees from the nectar of
plants or from secretions of living parts of plants, or excretions of plant-sucking insects on the living parts of plants, which
the bees collect, transform by combining with specific substances of their own, deposit, dehydrate, store and leave in honeycombs to ripen and mature”. Honey is mostly made up of sugars, as well as enzymes, amino acids, organic acids, vitamins,
aromatic compounds, minerals and carotenoids. It contains a lot of flavonoids and phenolic acids, which have a lot of biological effects and functions such as natural antioxidants, anti-inflammatory and antimicrobial properties. Its composition
is particularly variable, depending on its botanical and geographical origins Because of its exclusive flavor and high dietary
value, natural honey is more expensive than other sweeteners. This is the reason why honey is a target of adulteration. The
problem is that counterfeiting honey is relatively easy, but detection is difficult. Further, the authenticity of honey is a global
important problem for commercial producers and consumers. Accordingly, a fast and non-destructive method of detecting
counterfeits is needed. 
OBJECTIVES:
The aim of this paper is to verify the possibility of Raman spectroscopy and Support Vector Machine (SVM) for classification
of two different honeys and their fake duplicates. For this purpose, meadow and acacia honeys were selected.
METHOD / DESIGN:
Spectra of homemade and counterfeits honey were recorded using XploRA Raman spectrometer (Horiba Jobin Yvon). Raman scattering was excited by laser at a wavelength of 785 nm equipped with a 600 lines/mm grating; spectra were recorded
by applying exposure time 10 s and accumulated from 10 times scans, using 100% filter. Spectral resolution was 3 cm−1 and
autocalibration was done each time before recording of spectra by 520.47 cm−1 line of silicon. In order to assess a possible
sample inhomogeneity, thirty Raman spectra in the region from 200-3400 cm-1 were recorded for each sample. All spectra
were baseline-corrected, normalized and smoothed. After that PCA (Principal component analysis) was conducted and obtained PCs (first two PCs) served as a features for support vector machine (SVM) classification method. Data were divided into
training model (70 %) and training data (30 %). Pre-processing was done by Unscrambler X 10.4 software (CAMO software,
Norway). In order to determine the best shape of the hyperplane and decision boundary, several kernel function were used:
linear, radial basis and polynomial function. The SVM was conducted by Python and Scikit-learn package.
RESULTS:
Support vector machine showed high accuracy in classification of different honey samples. Accordingly, the best discrimination power showed SVM with polynomial function (100%), followed by radial basis (96.67%) and linear (81.82%).
T1  - Machine learning chemometric model for Raman spectroscopy based honey quality assessment
EP  - 5
SP  - 5
UR  - https://hdl.handle.net/21.15107/rcub_agrospace_6549
ER  - 

@conference{
author = "Kolašinac, Stefan M. and Pećinar, Ilinka and Dajić Stevanović, Zora P.",
year = "2021",
abstract = "INTRODUCTION:
According to Codex Alimentarius (2001), “Honey is the natural sweet substance, produced by honeybees from the nectar of
plants or from secretions of living parts of plants, or excretions of plant-sucking insects on the living parts of plants, which
the bees collect, transform by combining with specific substances of their own, deposit, dehydrate, store and leave in honeycombs to ripen and mature”. Honey is mostly made up of sugars, as well as enzymes, amino acids, organic acids, vitamins,
aromatic compounds, minerals and carotenoids. It contains a lot of flavonoids and phenolic acids, which have a lot of biological effects and functions such as natural antioxidants, anti-inflammatory and antimicrobial properties. Its composition
is particularly variable, depending on its botanical and geographical origins Because of its exclusive flavor and high dietary
value, natural honey is more expensive than other sweeteners. This is the reason why honey is a target of adulteration. The
problem is that counterfeiting honey is relatively easy, but detection is difficult. Further, the authenticity of honey is a global
important problem for commercial producers and consumers. Accordingly, a fast and non-destructive method of detecting
counterfeits is needed. 
OBJECTIVES:
The aim of this paper is to verify the possibility of Raman spectroscopy and Support Vector Machine (SVM) for classification
of two different honeys and their fake duplicates. For this purpose, meadow and acacia honeys were selected.
METHOD / DESIGN:
Spectra of homemade and counterfeits honey were recorded using XploRA Raman spectrometer (Horiba Jobin Yvon). Raman scattering was excited by laser at a wavelength of 785 nm equipped with a 600 lines/mm grating; spectra were recorded
by applying exposure time 10 s and accumulated from 10 times scans, using 100% filter. Spectral resolution was 3 cm−1 and
autocalibration was done each time before recording of spectra by 520.47 cm−1 line of silicon. In order to assess a possible
sample inhomogeneity, thirty Raman spectra in the region from 200-3400 cm-1 were recorded for each sample. All spectra
were baseline-corrected, normalized and smoothed. After that PCA (Principal component analysis) was conducted and obtained PCs (first two PCs) served as a features for support vector machine (SVM) classification method. Data were divided into
training model (70 %) and training data (30 %). Pre-processing was done by Unscrambler X 10.4 software (CAMO software,
Norway). In order to determine the best shape of the hyperplane and decision boundary, several kernel function were used:
linear, radial basis and polynomial function. The SVM was conducted by Python and Scikit-learn package.
RESULTS:
Support vector machine showed high accuracy in classification of different honey samples. Accordingly, the best discrimination power showed SVM with polynomial function (100%), followed by radial basis (96.67%) and linear (81.82%).",
title = "Machine learning chemometric model for Raman spectroscopy based honey quality assessment",
pages = "5-5",
url = "https://hdl.handle.net/21.15107/rcub_agrospace_6549"
}

Kolašinac, S. M., Pećinar, I.,& Dajić Stevanović, Z. P.. (2021). Machine learning chemometric model for Raman spectroscopy based honey quality assessment. , 5-5.
https://hdl.handle.net/21.15107/rcub_agrospace_6549

Kolašinac SM, Pećinar I, Dajić Stevanović ZP. Machine learning chemometric model for Raman spectroscopy based honey quality assessment. 2021;:5-5.
https://hdl.handle.net/21.15107/rcub_agrospace_6549 .

Kolašinac, Stefan M., Pećinar, Ilinka, Dajić Stevanović, Zora P., "Machine learning chemometric model for Raman spectroscopy based honey quality assessment" (2021):5-5,
https://hdl.handle.net/21.15107/rcub_agrospace_6549 .