TY  - JOUR
AU  - Lazarević, Jovan
AU  - Aćimović, Milica
AU  - Pezo, Lato
AU  - Lončar, Biljana
AU  - Konstantinović, Bojan
AU  - Popov, Milena
AU  - Šovljanski, Olja
AU  - Travičić, Vanja
AU  - Sikora, Vladimir
AU  - Vujisić, Ljubodrag
PY  - 2024
UR  - http://fiver.ifvcns.rs/handle/123456789/4282
AB  - The purpose of this study was to obtain additional value of hydrolates (HYs), by-products during essential oil distillation. Chemical compositions of angelica and hop hydrolates were determined and compared with the corresponding essential oils, and their biological potential tested. Steam distilled essential oils and hydrolates were analyzed by GC-MS, and their biological potential was tested for antioxidant (DPPH, ABTS and reduction power) and antimicrobial activities (against nine bacteria and fungi). Hydrolates were additionally tested for allelopathic activity (on corn and redroot pigweed). The investigated essential oils have totally different volatile profiles and aromas in comparison to hydrolates. The most dominant constituents in the angelica essential oil were limonene, β-phellandrene, α-pinene, α-phellandrene and δ-3-carene, while in the hydrolate it was trans-verbenol. In the hop essential oil the most dominant constituents were myrcene and α-humulene, while in the hydrolate isovaleric acid and linalool were dominant. Angelica essential oil showed higher antioxidant activity in comparison with hop, while hydrolates displayed significantly lower antioxidant activity. Low antimicrobial potential of both essential oils was observed in the case of Enterococcus faecalis, Escherichia coli, Saccharomyces cerevisiae and Candida albicans. Antimicrobial activity was not detected in neither of the two hydrolates. In terms of allelopathic activity, hydrolates showed a dose-dependent decreasing activity on germination and seedling growth of corn and redroot pigweed. Angelica and hop essential oils are mainly used in food, cosmetic and pharmaceutical industries because of their aroma. Hydrolates, as by-products, possess potential for application in agriculture as natural herbicides.
PB  - Springer
T2  - Waste and Biomass Valorization
T1  - Chemical Composition and In Vitro Biological Activity of Angelica Root and Hop Strobile Essential Oils and Hydrolates
EP  - 883
SP  - 867
VL  - 15
DO  - 10.1007/s12649-023-02209-1
ER  - 

@article{
author = "Lazarević, Jovan and Aćimović, Milica and Pezo, Lato and Lončar, Biljana and Konstantinović, Bojan and Popov, Milena and Šovljanski, Olja and Travičić, Vanja and Sikora, Vladimir and Vujisić, Ljubodrag",
year = "2024",
abstract = "The purpose of this study was to obtain additional value of hydrolates (HYs), by-products during essential oil distillation. Chemical compositions of angelica and hop hydrolates were determined and compared with the corresponding essential oils, and their biological potential tested. Steam distilled essential oils and hydrolates were analyzed by GC-MS, and their biological potential was tested for antioxidant (DPPH, ABTS and reduction power) and antimicrobial activities (against nine bacteria and fungi). Hydrolates were additionally tested for allelopathic activity (on corn and redroot pigweed). The investigated essential oils have totally different volatile profiles and aromas in comparison to hydrolates. The most dominant constituents in the angelica essential oil were limonene, β-phellandrene, α-pinene, α-phellandrene and δ-3-carene, while in the hydrolate it was trans-verbenol. In the hop essential oil the most dominant constituents were myrcene and α-humulene, while in the hydrolate isovaleric acid and linalool were dominant. Angelica essential oil showed higher antioxidant activity in comparison with hop, while hydrolates displayed significantly lower antioxidant activity. Low antimicrobial potential of both essential oils was observed in the case of Enterococcus faecalis, Escherichia coli, Saccharomyces cerevisiae and Candida albicans. Antimicrobial activity was not detected in neither of the two hydrolates. In terms of allelopathic activity, hydrolates showed a dose-dependent decreasing activity on germination and seedling growth of corn and redroot pigweed. Angelica and hop essential oils are mainly used in food, cosmetic and pharmaceutical industries because of their aroma. Hydrolates, as by-products, possess potential for application in agriculture as natural herbicides.",
publisher = "Springer",
journal = "Waste and Biomass Valorization",
title = "Chemical Composition and In Vitro Biological Activity of Angelica Root and Hop Strobile Essential Oils and Hydrolates",
pages = "883-867",
volume = "15",
doi = "10.1007/s12649-023-02209-1"
}

Lazarević, J., Aćimović, M., Pezo, L., Lončar, B., Konstantinović, B., Popov, M., Šovljanski, O., Travičić, V., Sikora, V.,& Vujisić, L.. (2024). Chemical Composition and In Vitro Biological Activity of Angelica Root and Hop Strobile Essential Oils and Hydrolates. in Waste and Biomass Valorization
Springer., 15, 867-883.
https://doi.org/10.1007/s12649-023-02209-1

Lazarević J, Aćimović M, Pezo L, Lončar B, Konstantinović B, Popov M, Šovljanski O, Travičić V, Sikora V, Vujisić L. Chemical Composition and In Vitro Biological Activity of Angelica Root and Hop Strobile Essential Oils and Hydrolates. in Waste and Biomass Valorization. 2024;15:867-883.
doi:10.1007/s12649-023-02209-1 .

Lazarević, Jovan, Aćimović, Milica, Pezo, Lato, Lončar, Biljana, Konstantinović, Bojan, Popov, Milena, Šovljanski, Olja, Travičić, Vanja, Sikora, Vladimir, Vujisić, Ljubodrag, "Chemical Composition and In Vitro Biological Activity of Angelica Root and Hop Strobile Essential Oils and Hydrolates" in Waste and Biomass Valorization, 15 (2024):867-883,
https://doi.org/10.1007/s12649-023-02209-1 . .

TY  - JOUR
AU  - Pezo, Lato
AU  - Lončar, Biljana
AU  - Filipović, Vladimir
AU  - Šovljanski, Olja
AU  - Travičić, Vanja
AU  - Filipović, Jelena
AU  - Pezo, Milada
AU  - Jovanović, Aca
AU  - Aćimović, Milica
PY  - 2024
UR  - http://fiver.ifvcns.rs/handle/123456789/4694
AB  - This study investigates the applicability of the Peleg model to the osmotic dehydration of various sweet potato variety samples in sugar beet molasses, addressing a notable gap in the existing literature. The osmotic dehydration was performed using an 80% sugar beet molasses solution at temperatures of 20 ◦C, 35 ◦C, and 50 ◦C for periods of 1, 3, and 5 h. The sample-to-solution ratio was 1:5. The objectives encompassed evaluating the Peleg equation’s suitability for modeling mass transfer during osmotic dehydration and determining equilibrium water and solid contents at various temperatures. With its modified equation, the Peleg model accurately described water loss and solid gain dynamics during osmotic treatment, as evidenced by a high coefficient of determination value (r2 ) ranging from 0.990 to 1.000. Analysis of Peleg constants revealed temperature and concentration dependencies, aligning with previous observations. The Guggenheim, Anderson, and de Boer (GAB) model was employed to characterize sorption isotherms, yielding coefficients comparable to prior studies. Effective moisture diffusivity and activation energy calculations further elucidated the drying kinetics, with effective moisture diffusivity values ranging from 1.85 × 10−8 to 4.83 × 10−8 m2/s and activation energy between 7.096 and 16.652 kJ/mol. These findings contribute to understanding the complex kinetics of osmotic dehydration and provide insights into the modeling and optimization of dehydration processes for sweet potato samples, with implications for food processing and preservation methodologies.
PB  - Basel : MDPI
T2  - Foods
T1  - Osmotic Dehydration Model for Sweet Potato Varieties in Sugar Beet Molasses Using the Peleg Model and Fitting Absorption Data Using the Guggenheim–Anderson–de Boer Model
SP  - 1658
VL  - 13
DO  - 10.3390/foods13111658
ER  - 

@article{
author = "Pezo, Lato and Lončar, Biljana and Filipović, Vladimir and Šovljanski, Olja and Travičić, Vanja and Filipović, Jelena and Pezo, Milada and Jovanović, Aca and Aćimović, Milica",
year = "2024",
abstract = "This study investigates the applicability of the Peleg model to the osmotic dehydration of various sweet potato variety samples in sugar beet molasses, addressing a notable gap in the existing literature. The osmotic dehydration was performed using an 80% sugar beet molasses solution at temperatures of 20 ◦C, 35 ◦C, and 50 ◦C for periods of 1, 3, and 5 h. The sample-to-solution ratio was 1:5. The objectives encompassed evaluating the Peleg equation’s suitability for modeling mass transfer during osmotic dehydration and determining equilibrium water and solid contents at various temperatures. With its modified equation, the Peleg model accurately described water loss and solid gain dynamics during osmotic treatment, as evidenced by a high coefficient of determination value (r2 ) ranging from 0.990 to 1.000. Analysis of Peleg constants revealed temperature and concentration dependencies, aligning with previous observations. The Guggenheim, Anderson, and de Boer (GAB) model was employed to characterize sorption isotherms, yielding coefficients comparable to prior studies. Effective moisture diffusivity and activation energy calculations further elucidated the drying kinetics, with effective moisture diffusivity values ranging from 1.85 × 10−8 to 4.83 × 10−8 m2/s and activation energy between 7.096 and 16.652 kJ/mol. These findings contribute to understanding the complex kinetics of osmotic dehydration and provide insights into the modeling and optimization of dehydration processes for sweet potato samples, with implications for food processing and preservation methodologies.",
publisher = "Basel : MDPI",
journal = "Foods",
title = "Osmotic Dehydration Model for Sweet Potato Varieties in Sugar Beet Molasses Using the Peleg Model and Fitting Absorption Data Using the Guggenheim–Anderson–de Boer Model",
pages = "1658",
volume = "13",
doi = "10.3390/foods13111658"
}

Pezo, L., Lončar, B., Filipović, V., Šovljanski, O., Travičić, V., Filipović, J., Pezo, M., Jovanović, A.,& Aćimović, M.. (2024). Osmotic Dehydration Model for Sweet Potato Varieties in Sugar Beet Molasses Using the Peleg Model and Fitting Absorption Data Using the Guggenheim–Anderson–de Boer Model. in Foods
Basel : MDPI., 13, 1658.
https://doi.org/10.3390/foods13111658

Pezo L, Lončar B, Filipović V, Šovljanski O, Travičić V, Filipović J, Pezo M, Jovanović A, Aćimović M. Osmotic Dehydration Model for Sweet Potato Varieties in Sugar Beet Molasses Using the Peleg Model and Fitting Absorption Data Using the Guggenheim–Anderson–de Boer Model. in Foods. 2024;13:1658.
doi:10.3390/foods13111658 .

Pezo, Lato, Lončar, Biljana, Filipović, Vladimir, Šovljanski, Olja, Travičić, Vanja, Filipović, Jelena, Pezo, Milada, Jovanović, Aca, Aćimović, Milica, "Osmotic Dehydration Model for Sweet Potato Varieties in Sugar Beet Molasses Using the Peleg Model and Fitting Absorption Data Using the Guggenheim–Anderson–de Boer Model" in Foods, 13 (2024):1658,
https://doi.org/10.3390/foods13111658 . .

TY  - JOUR
AU  - Božanić Tanjga, Biljana
AU  - Lončar (born Ćurčić), Biljana
AU  - Aćimović, Milica
AU  - Kiprovski, Biljana
AU  - Šovljanski, Olja
AU  - Tomić, Ana
AU  - Travičić, Vanja
AU  - Cvetković, Mirjana
AU  - Raičević, Vidak
AU  - Zeremski, Tijana
PY  - 2022
UR  - http://fiver.ifvcns.rs/handle/123456789/3132
AB  - Garden rose, Rosa hybrida, is primarily used for decoration and has a wide range of growing area, contrary to R. damascena that has a limited area of distribution (Turkey and Bulgaria), yet it is extensively used for commercial production of valuable and expensive rose oil. Since the content of essential oil in rose petals is low (0.03–0.04%), its production is quite limited; however, during this process, a significant amount of rose hydrosol is obtained as a secondary product. The aim of this research was to determine the chemical composition of garden rose hydrosols and to evaluate their biological properties. Obtained results show that R. hybrida hydrosol containing phenylethyl alcohol, nerol, linalool, and geraniol may be used as an alternative for R. damascena hydrosol. However, the total phenolic content was quite low (4.96 µg GAE/mL), which is related to a low level of observed antioxidant activity based on different antioxidant activity assays. Furthermore, R. hybrida hydrosol did not exhibit antimicrobial activity against several gram-positive and gram-negative bacteria, as well as yeast and fungi. Anti-inflammatory activity was also low, while no antihyperglycemic activity was detected. With these results in mind, no potential is evident for the therapeutic application of rose hydrosol beyond that found in complimentary medicine such as aromatherapy.
PB  - Basel : MDPI
T2  - Horticulturae (Basel)
T1  - Volatile profile of garden rose (Rosa hybrida) hydrosol and evaluation of its biological activity in vitro
SP  - 895
VL  - 8
DO  - 10.3390/horticulturae8100895
ER  - 

@article{
author = "Božanić Tanjga, Biljana and Lončar (born Ćurčić), Biljana and Aćimović, Milica and Kiprovski, Biljana and Šovljanski, Olja and Tomić, Ana and Travičić, Vanja and Cvetković, Mirjana and Raičević, Vidak and Zeremski, Tijana",
year = "2022",
abstract = "Garden rose, Rosa hybrida, is primarily used for decoration and has a wide range of growing area, contrary to R. damascena that has a limited area of distribution (Turkey and Bulgaria), yet it is extensively used for commercial production of valuable and expensive rose oil. Since the content of essential oil in rose petals is low (0.03–0.04%), its production is quite limited; however, during this process, a significant amount of rose hydrosol is obtained as a secondary product. The aim of this research was to determine the chemical composition of garden rose hydrosols and to evaluate their biological properties. Obtained results show that R. hybrida hydrosol containing phenylethyl alcohol, nerol, linalool, and geraniol may be used as an alternative for R. damascena hydrosol. However, the total phenolic content was quite low (4.96 µg GAE/mL), which is related to a low level of observed antioxidant activity based on different antioxidant activity assays. Furthermore, R. hybrida hydrosol did not exhibit antimicrobial activity against several gram-positive and gram-negative bacteria, as well as yeast and fungi. Anti-inflammatory activity was also low, while no antihyperglycemic activity was detected. With these results in mind, no potential is evident for the therapeutic application of rose hydrosol beyond that found in complimentary medicine such as aromatherapy.",
publisher = "Basel : MDPI",
journal = "Horticulturae (Basel)",
title = "Volatile profile of garden rose (Rosa hybrida) hydrosol and evaluation of its biological activity in vitro",
pages = "895",
volume = "8",
doi = "10.3390/horticulturae8100895"
}

Božanić Tanjga, B., Lončar (born Ćurčić), B., Aćimović, M., Kiprovski, B., Šovljanski, O., Tomić, A., Travičić, V., Cvetković, M., Raičević, V.,& Zeremski, T.. (2022). Volatile profile of garden rose (Rosa hybrida) hydrosol and evaluation of its biological activity in vitro. in Horticulturae (Basel)
Basel : MDPI., 8, 895.
https://doi.org/10.3390/horticulturae8100895

Božanić Tanjga B, Lončar (born Ćurčić) B, Aćimović M, Kiprovski B, Šovljanski O, Tomić A, Travičić V, Cvetković M, Raičević V, Zeremski T. Volatile profile of garden rose (Rosa hybrida) hydrosol and evaluation of its biological activity in vitro. in Horticulturae (Basel). 2022;8:895.
doi:10.3390/horticulturae8100895 .

Božanić Tanjga, Biljana, Lončar (born Ćurčić), Biljana, Aćimović, Milica, Kiprovski, Biljana, Šovljanski, Olja, Tomić, Ana, Travičić, Vanja, Cvetković, Mirjana, Raičević, Vidak, Zeremski, Tijana, "Volatile profile of garden rose (Rosa hybrida) hydrosol and evaluation of its biological activity in vitro" in Horticulturae (Basel), 8 (2022):895,
https://doi.org/10.3390/horticulturae8100895 . .

TY  - JOUR
AU  - Pezo, Lato
AU  - Lončar, Biljana
AU  - Šovljanski, Olja
AU  - Tomić, Ana
AU  - Travičić, Vanja
AU  - Pezo, Milada
AU  - Aćimović, Milica
PY  - 2022
UR  - http://fiver.ifvcns.rs/handle/123456789/3237
AB  - Predicting yield is essential for producers, stakeholders and international interchange demand. The majority of the divergence in yield and essential oil content is associated with environmental aspects, including weather conditions, soil variety and cultivation techniques. Therefore, aniseed production was examined in this study. The categorical input variables for artificial neural network modelling were growing year (two successive growing years), growing locality (three different locations in Vojvodina Province, Serbia) and fertilization type (six different treatments). The output variables were morphological and quality parameters, with agricultural importance such as plant height, umbel diameter, number of umbels, number of seeds per umbel, 1000-seed weight, seed yield per plant, plant weight, harvest index, yield per ha, essential oil (EO) yield, germination energy, total germination, EO content, as well as the share of EOs compounds, including limonene, cis-dihydro carvone, methyl chavicol, carvone, cis-anethole, trans-anethole, β-elemene, α-himachalene, trans-βfarnesene, γ-himachalene, trans-muurola-4(14),5-diene, α-zingiberene, β-himachalene, β-bisabolene, trans-pseudoisoeugenyl 2-methylbutyrate and epoxy-pseudoisoeugenyl 2-methylbutyrate. The ANN model predicted agricultural parameters accurately, showing r2 values between 0.555 and 0.918, while r2 values for the forecasting of essential oil content were between 0.379 and 0.908. According to global sensitivity analysis, the fertilization type was a more influential variable to agricultural parameters, while the location site was more influential to essential oils content.
PB  - Basel : MDPI
T2  - Life (Basel)
T1  - Agricultural parameters and essential oil content composition prediction of aniseed, based on growing year, locality and fertilization type - an artificial neural network approach
IS  - 11
SP  - 1722
VL  - 12
DO  - 10.3390/life12111722
ER  - 

@article{
author = "Pezo, Lato and Lončar, Biljana and Šovljanski, Olja and Tomić, Ana and Travičić, Vanja and Pezo, Milada and Aćimović, Milica",
year = "2022",
abstract = "Predicting yield is essential for producers, stakeholders and international interchange demand. The majority of the divergence in yield and essential oil content is associated with environmental aspects, including weather conditions, soil variety and cultivation techniques. Therefore, aniseed production was examined in this study. The categorical input variables for artificial neural network modelling were growing year (two successive growing years), growing locality (three different locations in Vojvodina Province, Serbia) and fertilization type (six different treatments). The output variables were morphological and quality parameters, with agricultural importance such as plant height, umbel diameter, number of umbels, number of seeds per umbel, 1000-seed weight, seed yield per plant, plant weight, harvest index, yield per ha, essential oil (EO) yield, germination energy, total germination, EO content, as well as the share of EOs compounds, including limonene, cis-dihydro carvone, methyl chavicol, carvone, cis-anethole, trans-anethole, β-elemene, α-himachalene, trans-βfarnesene, γ-himachalene, trans-muurola-4(14),5-diene, α-zingiberene, β-himachalene, β-bisabolene, trans-pseudoisoeugenyl 2-methylbutyrate and epoxy-pseudoisoeugenyl 2-methylbutyrate. The ANN model predicted agricultural parameters accurately, showing r2 values between 0.555 and 0.918, while r2 values for the forecasting of essential oil content were between 0.379 and 0.908. According to global sensitivity analysis, the fertilization type was a more influential variable to agricultural parameters, while the location site was more influential to essential oils content.",
publisher = "Basel : MDPI",
journal = "Life (Basel)",
title = "Agricultural parameters and essential oil content composition prediction of aniseed, based on growing year, locality and fertilization type - an artificial neural network approach",
number = "11",
pages = "1722",
volume = "12",
doi = "10.3390/life12111722"
}

Pezo, L., Lončar, B., Šovljanski, O., Tomić, A., Travičić, V., Pezo, M.,& Aćimović, M.. (2022). Agricultural parameters and essential oil content composition prediction of aniseed, based on growing year, locality and fertilization type - an artificial neural network approach. in Life (Basel)
Basel : MDPI., 12(11), 1722.
https://doi.org/10.3390/life12111722

Pezo L, Lončar B, Šovljanski O, Tomić A, Travičić V, Pezo M, Aćimović M. Agricultural parameters and essential oil content composition prediction of aniseed, based on growing year, locality and fertilization type - an artificial neural network approach. in Life (Basel). 2022;12(11):1722.
doi:10.3390/life12111722 .

Pezo, Lato, Lončar, Biljana, Šovljanski, Olja, Tomić, Ana, Travičić, Vanja, Pezo, Milada, Aćimović, Milica, "Agricultural parameters and essential oil content composition prediction of aniseed, based on growing year, locality and fertilization type - an artificial neural network approach" in Life (Basel), 12, no. 11 (2022):1722,
https://doi.org/10.3390/life12111722 . .