TY  - JOUR
AU  - Demir, Hasan
AU  - Demir, Hande
AU  - Lončar, Biljana
AU  - Pezo, Lato
AU  - Brandić, Ivan
AU  - Voca, Neven
AU  - Yilmaz, Fatma
PY  - 2023
UR  - https://riofh.iofh.bg.ac.rs/handle/123456789/1003
AB  - One of the essential factors for the selection of the drying process is energy consumption. This study intended to optimize the drying treatment of capers using convection (CD), refractive window (RWD), and vacuum drying (VD) combined with ultrasonic pretreatment by a comparative approach among artificial neural networks (ANN) and response surface methodology (RSM) focusing on the specific energy consumption (SEC). For this purpose, the effects of drying temperature (50, 60, 70 degrees C), ultrasonication time (0, 20, 40 min), and drying method (RWD, CD, VD) on the SEC value (MJ/g) were tested using a face-centered central composite design (FCCD). RSM (R-2: 0.938) determined the optimum drying-temperature-ultrasonication-time values that minimize SEC as; 50 degrees C-35.5 min, 70 degrees C-40 min and 70 degrees C-24 min for RWD, CD and VD, respectively. The conduct of the ANN model is evidenced by the correlation coefficient for training (0.976), testing (0.971) and validation (0.972), which shows the high suitability of the model for optimising specific energy consumption (SEC).
PB  - MDPI AG
T2  - Energies
T1  - Optimization of Caper Drying Using Response Surface Methodology and Artificial Neural Networks for Energy Efficiency Characteristics
IS  - 4
VL  - 16
DO  - 10.3390/en16041687
UR  - conv_1085
ER  - 

@article{
author = "Demir, Hasan and Demir, Hande and Lončar, Biljana and Pezo, Lato and Brandić, Ivan and Voca, Neven and Yilmaz, Fatma",
year = "2023",
abstract = "One of the essential factors for the selection of the drying process is energy consumption. This study intended to optimize the drying treatment of capers using convection (CD), refractive window (RWD), and vacuum drying (VD) combined with ultrasonic pretreatment by a comparative approach among artificial neural networks (ANN) and response surface methodology (RSM) focusing on the specific energy consumption (SEC). For this purpose, the effects of drying temperature (50, 60, 70 degrees C), ultrasonication time (0, 20, 40 min), and drying method (RWD, CD, VD) on the SEC value (MJ/g) were tested using a face-centered central composite design (FCCD). RSM (R-2: 0.938) determined the optimum drying-temperature-ultrasonication-time values that minimize SEC as; 50 degrees C-35.5 min, 70 degrees C-40 min and 70 degrees C-24 min for RWD, CD and VD, respectively. The conduct of the ANN model is evidenced by the correlation coefficient for training (0.976), testing (0.971) and validation (0.972), which shows the high suitability of the model for optimising specific energy consumption (SEC).",
publisher = "MDPI AG",
journal = "Energies",
title = "Optimization of Caper Drying Using Response Surface Methodology and Artificial Neural Networks for Energy Efficiency Characteristics",
number = "4",
volume = "16",
doi = "10.3390/en16041687",
url = "conv_1085"
}

Demir, H., Demir, H., Lončar, B., Pezo, L., Brandić, I., Voca, N.,& Yilmaz, F.. (2023). Optimization of Caper Drying Using Response Surface Methodology and Artificial Neural Networks for Energy Efficiency Characteristics. in Energies
MDPI AG., 16(4).
https://doi.org/10.3390/en16041687
conv_1085

Demir H, Demir H, Lončar B, Pezo L, Brandić I, Voca N, Yilmaz F. Optimization of Caper Drying Using Response Surface Methodology and Artificial Neural Networks for Energy Efficiency Characteristics. in Energies. 2023;16(4).
doi:10.3390/en16041687
conv_1085 .

Demir, Hasan, Demir, Hande, Lončar, Biljana, Pezo, Lato, Brandić, Ivan, Voca, Neven, Yilmaz, Fatma, "Optimization of Caper Drying Using Response Surface Methodology and Artificial Neural Networks for Energy Efficiency Characteristics" in Energies, 16, no. 4 (2023),
https://doi.org/10.3390/en16041687 .,
conv_1085 .

TY  - JOUR
AU  - Šuput, Danijela
AU  - Pezo, Lato
AU  - Lončar, Biljana
AU  - Popović, Senka
AU  - Tepic Horecki, Aleksandra
AU  - Danicić, Tatjana
AU  - Cvetković, Dragoljub
AU  - Ranitović, Aleksandra
AU  - Hromiš, Nevena
AU  - Ugarković, Jovana
PY  - 2023
UR  - https://riofh.iofh.bg.ac.rs/handle/123456789/1001
AB  - This work aimed to determine the influence of biopolymer coatings based on pumpkin oil cake, with and without the addition of Mentha piperita essential oil, on the quality and shelf-life of the Afus Ali variety of grapes, stored at room temperature and in the refrigerator. Furthermore, a 10% (w/w) aqueous solution of composite pumpkin oil cake (PuOC) with the addition of 30% glycerol was prepared at 60 degrees C and pH 10. The active biopolymer coating was prepared similarly by adding 1% (v/v) Mentha piperita essential oil. The quality of packed grapes was tested by determining the dry matter content, total sugar content, total acidity, alcohol content, total phenolic compounds content, and total flavonoid content, as well as by determining the antioxidant activity, through the application of the DPPH, FRAP and ABTS tests. Additionally, microbiological parameters were investigated: total aerobic microbial count, yeasts, and molds. The obtained results proved that in all tested samples, over a certain period of time, the content of dry matter, content of phenolic and flavonoids substances and sugar content decreased as a consequence of the spoilage of grapes, that is, the consumption of sugar for the production of alcohol, which consequently leads to the total acidity increasing. The application of lower storage temperatures and active coating (with Mentha piperita essential oil) had a positive effect on all inevitable reactions. Grapes' antioxidant potential may be enhanced or maintained by applying PuOC coating with or without Mentha piperita essential oil, which is best observed in the case of the DPPH test. The uncoated sample stored at room temperature had the largest decrease in DPPH values during storage, with changes ranging from 2.119 mg/g to 1.471 mu mol mg/g. The samples, coated with PuOC and PuOC with the addition of essential oil, had uniform DPPH values throughout the entire storage period. Additionally, regarding phenolic content, at the end of storage period the highest phenolic content was observed in samples with active coating stored at room temperature (734.746 +/- 2.462) and at refrigerator temperature (680.827 +/- 0.448) compared with untreated samples and with samples with plain PuOC coating. The presence of active essential oil in the applied coating significantly affected the microbiological profile of grapes during the storage period. Besides the positive impact of the applied lower storage temperature, the effectiveness of the applied active packaging is even greater (microbiological results were in the order of PuOC+essential oil  LT  PuOC  LT  Control). The developed artificial neural networks were found to be adequate for modeling the microbiological profile, antioxidant activity, phenolic and flavonoid content.
PB  - MDPI AG
T2  - Coatings
T1  - The Influence of Biopolymer Coating Based on Pumpkin Oil Cake Activated with Mentha piperita Essential Oil on the Quality and Shelf-Life of Grape
IS  - 2
VL  - 13
DO  - 10.3390/coatings13020299
UR  - conv_1083
ER  - 

@article{
author = "Šuput, Danijela and Pezo, Lato and Lončar, Biljana and Popović, Senka and Tepic Horecki, Aleksandra and Danicić, Tatjana and Cvetković, Dragoljub and Ranitović, Aleksandra and Hromiš, Nevena and Ugarković, Jovana",
year = "2023",
abstract = "This work aimed to determine the influence of biopolymer coatings based on pumpkin oil cake, with and without the addition of Mentha piperita essential oil, on the quality and shelf-life of the Afus Ali variety of grapes, stored at room temperature and in the refrigerator. Furthermore, a 10% (w/w) aqueous solution of composite pumpkin oil cake (PuOC) with the addition of 30% glycerol was prepared at 60 degrees C and pH 10. The active biopolymer coating was prepared similarly by adding 1% (v/v) Mentha piperita essential oil. The quality of packed grapes was tested by determining the dry matter content, total sugar content, total acidity, alcohol content, total phenolic compounds content, and total flavonoid content, as well as by determining the antioxidant activity, through the application of the DPPH, FRAP and ABTS tests. Additionally, microbiological parameters were investigated: total aerobic microbial count, yeasts, and molds. The obtained results proved that in all tested samples, over a certain period of time, the content of dry matter, content of phenolic and flavonoids substances and sugar content decreased as a consequence of the spoilage of grapes, that is, the consumption of sugar for the production of alcohol, which consequently leads to the total acidity increasing. The application of lower storage temperatures and active coating (with Mentha piperita essential oil) had a positive effect on all inevitable reactions. Grapes' antioxidant potential may be enhanced or maintained by applying PuOC coating with or without Mentha piperita essential oil, which is best observed in the case of the DPPH test. The uncoated sample stored at room temperature had the largest decrease in DPPH values during storage, with changes ranging from 2.119 mg/g to 1.471 mu mol mg/g. The samples, coated with PuOC and PuOC with the addition of essential oil, had uniform DPPH values throughout the entire storage period. Additionally, regarding phenolic content, at the end of storage period the highest phenolic content was observed in samples with active coating stored at room temperature (734.746 +/- 2.462) and at refrigerator temperature (680.827 +/- 0.448) compared with untreated samples and with samples with plain PuOC coating. The presence of active essential oil in the applied coating significantly affected the microbiological profile of grapes during the storage period. Besides the positive impact of the applied lower storage temperature, the effectiveness of the applied active packaging is even greater (microbiological results were in the order of PuOC+essential oil  LT  PuOC  LT  Control). The developed artificial neural networks were found to be adequate for modeling the microbiological profile, antioxidant activity, phenolic and flavonoid content.",
publisher = "MDPI AG",
journal = "Coatings",
title = "The Influence of Biopolymer Coating Based on Pumpkin Oil Cake Activated with Mentha piperita Essential Oil on the Quality and Shelf-Life of Grape",
number = "2",
volume = "13",
doi = "10.3390/coatings13020299",
url = "conv_1083"
}

Šuput, D., Pezo, L., Lončar, B., Popović, S., Tepic Horecki, A., Danicić, T., Cvetković, D., Ranitović, A., Hromiš, N.,& Ugarković, J.. (2023). The Influence of Biopolymer Coating Based on Pumpkin Oil Cake Activated with Mentha piperita Essential Oil on the Quality and Shelf-Life of Grape. in Coatings
MDPI AG., 13(2).
https://doi.org/10.3390/coatings13020299
conv_1083

Šuput D, Pezo L, Lončar B, Popović S, Tepic Horecki A, Danicić T, Cvetković D, Ranitović A, Hromiš N, Ugarković J. The Influence of Biopolymer Coating Based on Pumpkin Oil Cake Activated with Mentha piperita Essential Oil on the Quality and Shelf-Life of Grape. in Coatings. 2023;13(2).
doi:10.3390/coatings13020299
conv_1083 .

Šuput, Danijela, Pezo, Lato, Lončar, Biljana, Popović, Senka, Tepic Horecki, Aleksandra, Danicić, Tatjana, Cvetković, Dragoljub, Ranitović, Aleksandra, Hromiš, Nevena, Ugarković, Jovana, "The Influence of Biopolymer Coating Based on Pumpkin Oil Cake Activated with Mentha piperita Essential Oil on the Quality and Shelf-Life of Grape" in Coatings, 13, no. 2 (2023),
https://doi.org/10.3390/coatings13020299 .,
conv_1083 .

TY  - JOUR
AU  - Strbac, Snežana
AU  - Kasanin-Grubin, Milica
AU  - Pezo, Lato
AU  - Stojić, Nataša
AU  - Lončar, Biljana
AU  - Ćurčić, Ljiljana
AU  - Pucarević, Mira
PY  - 2023
UR  - https://riofh.iofh.bg.ac.rs/handle/123456789/993
AB  - With the goal of enhancing the quality of the environment, urban green infrastructure (UGI) is an essential element in sustainable cities, and nature-based solutions (NBS) are being carried out as new infrastructure solutions that increase the resilience of cities. In this research, the method of theoretical analysis and the content analysis as the basic fact-gathering technique was applied to answer to following questions: What are the hindrances and bottlenecks in implementing NBS? Are the current decision-making mechanisms helping NBS get in route to shape cities? Is there any binding policy in practice that promotes NBS? In Belgrade is planned Type 3 of the degree of intervention/level and engineering type-Creation and new ecosystem management in the classifications of intensive urban green space management; urban planning strategies; urban water management; ecological restoration of degraded terrestrial ecosystems; and restoration and creation of semi-natural water bodies and hydrographic networks. In the future, it is essential to implement policies and incentives on national, regional, and local scales that help encourage the usage of NBS in the development of urban infrastructure.
T2  - International Journal of Environmental Research and Public Health
T1  - Green Infrastructure Designed through Nature-Based Solutions for Sustainable Urban Development
IS  - 2
VL  - 20
DO  - 10.3390/ijerph20021102
UR  - conv_1075
ER  - 

@article{
author = "Strbac, Snežana and Kasanin-Grubin, Milica and Pezo, Lato and Stojić, Nataša and Lončar, Biljana and Ćurčić, Ljiljana and Pucarević, Mira",
year = "2023",
abstract = "With the goal of enhancing the quality of the environment, urban green infrastructure (UGI) is an essential element in sustainable cities, and nature-based solutions (NBS) are being carried out as new infrastructure solutions that increase the resilience of cities. In this research, the method of theoretical analysis and the content analysis as the basic fact-gathering technique was applied to answer to following questions: What are the hindrances and bottlenecks in implementing NBS? Are the current decision-making mechanisms helping NBS get in route to shape cities? Is there any binding policy in practice that promotes NBS? In Belgrade is planned Type 3 of the degree of intervention/level and engineering type-Creation and new ecosystem management in the classifications of intensive urban green space management; urban planning strategies; urban water management; ecological restoration of degraded terrestrial ecosystems; and restoration and creation of semi-natural water bodies and hydrographic networks. In the future, it is essential to implement policies and incentives on national, regional, and local scales that help encourage the usage of NBS in the development of urban infrastructure.",
journal = "International Journal of Environmental Research and Public Health",
title = "Green Infrastructure Designed through Nature-Based Solutions for Sustainable Urban Development",
number = "2",
volume = "20",
doi = "10.3390/ijerph20021102",
url = "conv_1075"
}

Strbac, S., Kasanin-Grubin, M., Pezo, L., Stojić, N., Lončar, B., Ćurčić, L.,& Pucarević, M.. (2023). Green Infrastructure Designed through Nature-Based Solutions for Sustainable Urban Development. in International Journal of Environmental Research and Public Health, 20(2).
https://doi.org/10.3390/ijerph20021102
conv_1075

Strbac S, Kasanin-Grubin M, Pezo L, Stojić N, Lončar B, Ćurčić L, Pucarević M. Green Infrastructure Designed through Nature-Based Solutions for Sustainable Urban Development. in International Journal of Environmental Research and Public Health. 2023;20(2).
doi:10.3390/ijerph20021102
conv_1075 .

Strbac, Snežana, Kasanin-Grubin, Milica, Pezo, Lato, Stojić, Nataša, Lončar, Biljana, Ćurčić, Ljiljana, Pucarević, Mira, "Green Infrastructure Designed through Nature-Based Solutions for Sustainable Urban Development" in International Journal of Environmental Research and Public Health, 20, no. 2 (2023),
https://doi.org/10.3390/ijerph20021102 .,
conv_1075 .

TY  - JOUR
AU  - Stojić, Nataša
AU  - Pezo, Lato
AU  - Lončar, Biljana
AU  - Pucarević, Mira
AU  - Filipović, Vladimir
AU  - Prokić, Dunja
AU  - Ćurčić, Ljiljana
AU  - Strbac, Snežana
PY  - 2023
UR  - https://riofh.iofh.bg.ac.rs/handle/123456789/985
AB  - The main objective of this study is to determine the possibility of predicting the impact of land use and soil type on concentrations of heavy metals (HMs) and phthalates (PAEs) in soil based on an artificial neural network model (ANN). Qualitative analysis of HMs was performed with inductively coupled plasma-optical emission spectrometry (ICP/OES) and Direct Mercury Analyzer. Determination of PAEs was performed with gas chromatography (GC) coupled with a single quadrupole mass spectrometry (MS). An ANN, based on the Broyden-Fletcher-Goldfarb-Shanno (BFGS) iterative algorithm, for the prediction of HM and PAE concentrations, based on land use and soil type parameters, showed good prediction capabilities (the coefficient of determination (r(2)) values during the training cycle for HM concentration variables were 0.895, 0.927, 0.885, 0.813, 0.883, 0.917, 0.931, and 0.883, respectively, and for PAEs, the concentration variables were 0.950, 0.974, 0.958, 0.974, and 0.943, respectively). The results of this study indicate that HM and PAE concentrations, based on land use and soil type, can be predicted using ANN.
PB  - MDPI AG
T2  - Toxics
T1  - Prediction of the Impact of Land Use and Soil Type on Concentrations of Heavy Metals and Phthalates in Soil Based on Model Simulation
IS  - 3
VL  - 11
DO  - 10.3390/toxics11030269
UR  - conv_1093
ER  - 

@article{
author = "Stojić, Nataša and Pezo, Lato and Lončar, Biljana and Pucarević, Mira and Filipović, Vladimir and Prokić, Dunja and Ćurčić, Ljiljana and Strbac, Snežana",
year = "2023",
abstract = "The main objective of this study is to determine the possibility of predicting the impact of land use and soil type on concentrations of heavy metals (HMs) and phthalates (PAEs) in soil based on an artificial neural network model (ANN). Qualitative analysis of HMs was performed with inductively coupled plasma-optical emission spectrometry (ICP/OES) and Direct Mercury Analyzer. Determination of PAEs was performed with gas chromatography (GC) coupled with a single quadrupole mass spectrometry (MS). An ANN, based on the Broyden-Fletcher-Goldfarb-Shanno (BFGS) iterative algorithm, for the prediction of HM and PAE concentrations, based on land use and soil type parameters, showed good prediction capabilities (the coefficient of determination (r(2)) values during the training cycle for HM concentration variables were 0.895, 0.927, 0.885, 0.813, 0.883, 0.917, 0.931, and 0.883, respectively, and for PAEs, the concentration variables were 0.950, 0.974, 0.958, 0.974, and 0.943, respectively). The results of this study indicate that HM and PAE concentrations, based on land use and soil type, can be predicted using ANN.",
publisher = "MDPI AG",
journal = "Toxics",
title = "Prediction of the Impact of Land Use and Soil Type on Concentrations of Heavy Metals and Phthalates in Soil Based on Model Simulation",
number = "3",
volume = "11",
doi = "10.3390/toxics11030269",
url = "conv_1093"
}

Stojić, N., Pezo, L., Lončar, B., Pucarević, M., Filipović, V., Prokić, D., Ćurčić, L.,& Strbac, S.. (2023). Prediction of the Impact of Land Use and Soil Type on Concentrations of Heavy Metals and Phthalates in Soil Based on Model Simulation. in Toxics
MDPI AG., 11(3).
https://doi.org/10.3390/toxics11030269
conv_1093

Stojić N, Pezo L, Lončar B, Pucarević M, Filipović V, Prokić D, Ćurčić L, Strbac S. Prediction of the Impact of Land Use and Soil Type on Concentrations of Heavy Metals and Phthalates in Soil Based on Model Simulation. in Toxics. 2023;11(3).
doi:10.3390/toxics11030269
conv_1093 .

Stojić, Nataša, Pezo, Lato, Lončar, Biljana, Pucarević, Mira, Filipović, Vladimir, Prokić, Dunja, Ćurčić, Ljiljana, Strbac, Snežana, "Prediction of the Impact of Land Use and Soil Type on Concentrations of Heavy Metals and Phthalates in Soil Based on Model Simulation" in Toxics, 11, no. 3 (2023),
https://doi.org/10.3390/toxics11030269 .,
conv_1093 .

TY  - JOUR
AU  - Rajković, Dragana
AU  - Marjanovic Jeromela, Ana
AU  - Pezo, Lato
AU  - Lončar, Biljana
AU  - Grahovac, Nada
AU  - Kondic Spika, Ankica
PY  - 2023
UR  - https://riofh.iofh.bg.ac.rs/handle/123456789/984
AB  - With the aid of models used in artificial intelligence, a wide range of data can be processed quickly with high accuracy. The quality of rapeseed oil from 40 genotypes cultivated during four consecutive years was analysed. Two machine learning techniques (artificial neural network - ANN, and random forest regression - RFR) were applied for the modelling of fatty acids content (C16:0; C18:0; C18:1; C18:2; C18:3 and C22:1), alpha-tocopherol, gamma-tocopherol and total tocopherols, according to the data of production year and winter rapeseed genotype. The developed models exerted high-quality anticipation features, showing high r2 during the training cycle. The best fit between the modelled and measured traits for ANN model was observed for erucic acid content. RFR modelling for all fatty acids was more effective than ANN model, with the highest precision for palmitic, stearic, and oleic fatty acids (r2>0.9). This study emphasized the possibility of using ANN and RFR models to model winter rapeseed quality traits.
T2  - Journal of Food Composition and Analysis
T1  - Artificial neural network and random forest regression models for modelling fatty acid and tocopherol content in oil of winter rapeseed
VL  - 115
DO  - 10.1016/j.jfca.2022.105020
UR  - conv_1066
ER  - 

@article{
author = "Rajković, Dragana and Marjanovic Jeromela, Ana and Pezo, Lato and Lončar, Biljana and Grahovac, Nada and Kondic Spika, Ankica",
year = "2023",
abstract = "With the aid of models used in artificial intelligence, a wide range of data can be processed quickly with high accuracy. The quality of rapeseed oil from 40 genotypes cultivated during four consecutive years was analysed. Two machine learning techniques (artificial neural network - ANN, and random forest regression - RFR) were applied for the modelling of fatty acids content (C16:0; C18:0; C18:1; C18:2; C18:3 and C22:1), alpha-tocopherol, gamma-tocopherol and total tocopherols, according to the data of production year and winter rapeseed genotype. The developed models exerted high-quality anticipation features, showing high r2 during the training cycle. The best fit between the modelled and measured traits for ANN model was observed for erucic acid content. RFR modelling for all fatty acids was more effective than ANN model, with the highest precision for palmitic, stearic, and oleic fatty acids (r2>0.9). This study emphasized the possibility of using ANN and RFR models to model winter rapeseed quality traits.",
journal = "Journal of Food Composition and Analysis",
title = "Artificial neural network and random forest regression models for modelling fatty acid and tocopherol content in oil of winter rapeseed",
volume = "115",
doi = "10.1016/j.jfca.2022.105020",
url = "conv_1066"
}

Rajković, D., Marjanovic Jeromela, A., Pezo, L., Lončar, B., Grahovac, N.,& Kondic Spika, A.. (2023). Artificial neural network and random forest regression models for modelling fatty acid and tocopherol content in oil of winter rapeseed. in Journal of Food Composition and Analysis, 115.
https://doi.org/10.1016/j.jfca.2022.105020
conv_1066

Rajković D, Marjanovic Jeromela A, Pezo L, Lončar B, Grahovac N, Kondic Spika A. Artificial neural network and random forest regression models for modelling fatty acid and tocopherol content in oil of winter rapeseed. in Journal of Food Composition and Analysis. 2023;115.
doi:10.1016/j.jfca.2022.105020
conv_1066 .

Rajković, Dragana, Marjanovic Jeromela, Ana, Pezo, Lato, Lončar, Biljana, Grahovac, Nada, Kondic Spika, Ankica, "Artificial neural network and random forest regression models for modelling fatty acid and tocopherol content in oil of winter rapeseed" in Journal of Food Composition and Analysis, 115 (2023),
https://doi.org/10.1016/j.jfca.2022.105020 .,
conv_1066 .

TY  - JOUR
AU  - Fotirić-Aksić, Milica
AU  - Tešić, Živoslav
AU  - Kalaba, Milica
AU  - Cirić, Ivanka
AU  - Pezo, Lato
AU  - Lončar, Biljana
AU  - Gašić, Uroš
AU  - Dojčinović, Biljana
AU  - Tosti, Tomislav
AU  - Meland, Mekjell
PY  - 2023
UR  - https://riofh.iofh.bg.ac.rs/handle/123456789/975
AB  - The aim of this study was to find the chemical parameters for the differentiation of plum cultivars grown along the fjord areas of Western Norway and Eastern Norway, having specific agroclimatic conditions. Chemical analysis of the fruits confirmed the contents of 13 quantified elements, 22 sugar compounds, 11 organic acids, 19 phenolic compounds, and antioxidant activity in 68 plum cultivars. Dominated contents were noted for nitrogen (with the maximum mean value of 3.11%), potassium (8055.80 mg/kg), and phosphorous (7878.88 mg/kg). Averagely, the highest level of sugars was determined for glucose (244.46 g/kg), fructose (197.92 g/kg), sucrose (208.25 g/kg), and sorbitol (98.02 g/kg), organic acids for malic acid (24.06 g/kg), and for polyphenol compounds were 5-O-caffeoylquinic acid (66.31 mg/kg), and rutin (58.06 mg/kg). Applied principal component analysis has been useful for distinguishing the plum cultivars from three areas in Norway where copper, iron, potassium, magnesium, manganese, and sodium; sucrose, ribose, maltose, and raffinose; p-hydroxybenzoic acid, rutin, ferulic acid, kaempferol 7-O-glucoside, p-coumaric acid, and 5-O-caffeoylquinic acid were the most influential. In regard to human health and future breeding work that will have the aim to produce functional food with high health-related compounds, the plum cultivar 'Mallard' should be underlined due to the high level of elements, 'Valor' due to high sugar content, 'Helgoyplomme' due to content of organic acids, and 'Diamond' due to the content of phenolic compounds.
PB  - MDPI AG
T2  - Horticulturae
T1  - Breakthrough Analysis of Chemical Composition and Applied Chemometrics of European Plum Cultivars Grown in Norway
IS  - 4
VL  - 9
DO  - 10.3390/horticulturae9040477
UR  - conv_1100
ER  - 

@article{
author = "Fotirić-Aksić, Milica and Tešić, Živoslav and Kalaba, Milica and Cirić, Ivanka and Pezo, Lato and Lončar, Biljana and Gašić, Uroš and Dojčinović, Biljana and Tosti, Tomislav and Meland, Mekjell",
year = "2023",
abstract = "The aim of this study was to find the chemical parameters for the differentiation of plum cultivars grown along the fjord areas of Western Norway and Eastern Norway, having specific agroclimatic conditions. Chemical analysis of the fruits confirmed the contents of 13 quantified elements, 22 sugar compounds, 11 organic acids, 19 phenolic compounds, and antioxidant activity in 68 plum cultivars. Dominated contents were noted for nitrogen (with the maximum mean value of 3.11%), potassium (8055.80 mg/kg), and phosphorous (7878.88 mg/kg). Averagely, the highest level of sugars was determined for glucose (244.46 g/kg), fructose (197.92 g/kg), sucrose (208.25 g/kg), and sorbitol (98.02 g/kg), organic acids for malic acid (24.06 g/kg), and for polyphenol compounds were 5-O-caffeoylquinic acid (66.31 mg/kg), and rutin (58.06 mg/kg). Applied principal component analysis has been useful for distinguishing the plum cultivars from three areas in Norway where copper, iron, potassium, magnesium, manganese, and sodium; sucrose, ribose, maltose, and raffinose; p-hydroxybenzoic acid, rutin, ferulic acid, kaempferol 7-O-glucoside, p-coumaric acid, and 5-O-caffeoylquinic acid were the most influential. In regard to human health and future breeding work that will have the aim to produce functional food with high health-related compounds, the plum cultivar 'Mallard' should be underlined due to the high level of elements, 'Valor' due to high sugar content, 'Helgoyplomme' due to content of organic acids, and 'Diamond' due to the content of phenolic compounds.",
publisher = "MDPI AG",
journal = "Horticulturae",
title = "Breakthrough Analysis of Chemical Composition and Applied Chemometrics of European Plum Cultivars Grown in Norway",
number = "4",
volume = "9",
doi = "10.3390/horticulturae9040477",
url = "conv_1100"
}

Fotirić-Aksić, M., Tešić, Ž., Kalaba, M., Cirić, I., Pezo, L., Lončar, B., Gašić, U., Dojčinović, B., Tosti, T.,& Meland, M.. (2023). Breakthrough Analysis of Chemical Composition and Applied Chemometrics of European Plum Cultivars Grown in Norway. in Horticulturae
MDPI AG., 9(4).
https://doi.org/10.3390/horticulturae9040477
conv_1100

Fotirić-Aksić M, Tešić Ž, Kalaba M, Cirić I, Pezo L, Lončar B, Gašić U, Dojčinović B, Tosti T, Meland M. Breakthrough Analysis of Chemical Composition and Applied Chemometrics of European Plum Cultivars Grown in Norway. in Horticulturae. 2023;9(4).
doi:10.3390/horticulturae9040477
conv_1100 .

Fotirić-Aksić, Milica, Tešić, Živoslav, Kalaba, Milica, Cirić, Ivanka, Pezo, Lato, Lončar, Biljana, Gašić, Uroš, Dojčinović, Biljana, Tosti, Tomislav, Meland, Mekjell, "Breakthrough Analysis of Chemical Composition and Applied Chemometrics of European Plum Cultivars Grown in Norway" in Horticulturae, 9, no. 4 (2023),
https://doi.org/10.3390/horticulturae9040477 .,
conv_1100 .

TY  - JOUR
AU  - Demir, Hasan
AU  - Demir, Hande
AU  - Lončar, Biljana
AU  - Nićetin, Milica
AU  - Pezo, Lato
AU  - Yilmaz, Fatma
PY  - 2023
UR  - https://riofh.iofh.bg.ac.rs/handle/123456789/968
AB  - This study aimed to investigate the drying kinetics of capers at different temperatures and to examine the morphological changes of capers during the drying and rehydration processes. Computer-aided image processing and Artificial Neural Network models (ANN) were used to analyze the shrinkage and moisture ratio of capers (drying) and the expansion of capers (rehydration). Lewis, Page, Fick's law, and logarithmic models were investigated to describe the conventional drying kinetics of capers at 50, 60, and 70 degrees C; the logarithmic model was shown to be the best describing model (r(2): 0.9996, 0.9996 and 0.9981, respectively). Effective diffusivities varied between 1.91 x 10(-10) and 2.62 x 10(-10) m(2)/s for the temperature range. The activation energy was 14.572 kJ/mol. Image processing revealed that diameter reduction rates were 1 x 10(-4) mm/s for 50 and 70 & DEG;C and 7 x 10(-5) mm/s for 60 degrees C. ANN was applied using multilayer perceptron models with three layers (input: ANN1, hidden: ANN2, and output: ANN3) which were sufficiently valid for predicting the experimental parameters (r(2): 0.9992, 0.9915, and 0.8484, respectively). All morphological properties were reduced with drying, and shrinkage of capers was increased proportionally with the moisture content. The Global Sensitivity Analysis recognized treatment time as the most influential parameter affecting the moisture ratio and the caper diameter changes. Practical applications One of the major problems for humans has been to improve food preservation techniques for long-term storage. The major scope of industry is the drying of fruits and/or vegetables to produce dried foods with high quality and a long shelf life. To the best of our knowledge, drying of capers regarding the drying kinetics, modeling and quality changes has not been published to date. In this study, goal was to better understand drying kinetics and geometric changes that occur to capers during the dehydration and rehydration processes at various drying temperatures. Quantitative information regarding geometrical changes to capers was supplied by the image processing of the acquired pictures, which enabled rapid monitoring of physical changes during dehydration and rehydration. The remarked kinetic model, ANN model, and Quantitative information regarding geometrical changes are valuable information for researchers studying on drying of food and large-scale dryer designers.
T2  - Journal of Food Process Engineering
T1  - Artificial neural network and kinetic modeling of capers during dehydration and rehydration processes
IS  - 2
VL  - 46
DO  - 10.1111/jfpe.14249
UR  - conv_1068
ER  - 

@article{
author = "Demir, Hasan and Demir, Hande and Lončar, Biljana and Nićetin, Milica and Pezo, Lato and Yilmaz, Fatma",
year = "2023",
abstract = "This study aimed to investigate the drying kinetics of capers at different temperatures and to examine the morphological changes of capers during the drying and rehydration processes. Computer-aided image processing and Artificial Neural Network models (ANN) were used to analyze the shrinkage and moisture ratio of capers (drying) and the expansion of capers (rehydration). Lewis, Page, Fick's law, and logarithmic models were investigated to describe the conventional drying kinetics of capers at 50, 60, and 70 degrees C; the logarithmic model was shown to be the best describing model (r(2): 0.9996, 0.9996 and 0.9981, respectively). Effective diffusivities varied between 1.91 x 10(-10) and 2.62 x 10(-10) m(2)/s for the temperature range. The activation energy was 14.572 kJ/mol. Image processing revealed that diameter reduction rates were 1 x 10(-4) mm/s for 50 and 70 & DEG;C and 7 x 10(-5) mm/s for 60 degrees C. ANN was applied using multilayer perceptron models with three layers (input: ANN1, hidden: ANN2, and output: ANN3) which were sufficiently valid for predicting the experimental parameters (r(2): 0.9992, 0.9915, and 0.8484, respectively). All morphological properties were reduced with drying, and shrinkage of capers was increased proportionally with the moisture content. The Global Sensitivity Analysis recognized treatment time as the most influential parameter affecting the moisture ratio and the caper diameter changes. Practical applications One of the major problems for humans has been to improve food preservation techniques for long-term storage. The major scope of industry is the drying of fruits and/or vegetables to produce dried foods with high quality and a long shelf life. To the best of our knowledge, drying of capers regarding the drying kinetics, modeling and quality changes has not been published to date. In this study, goal was to better understand drying kinetics and geometric changes that occur to capers during the dehydration and rehydration processes at various drying temperatures. Quantitative information regarding geometrical changes to capers was supplied by the image processing of the acquired pictures, which enabled rapid monitoring of physical changes during dehydration and rehydration. The remarked kinetic model, ANN model, and Quantitative information regarding geometrical changes are valuable information for researchers studying on drying of food and large-scale dryer designers.",
journal = "Journal of Food Process Engineering",
title = "Artificial neural network and kinetic modeling of capers during dehydration and rehydration processes",
number = "2",
volume = "46",
doi = "10.1111/jfpe.14249",
url = "conv_1068"
}

Demir, H., Demir, H., Lončar, B., Nićetin, M., Pezo, L.,& Yilmaz, F.. (2023). Artificial neural network and kinetic modeling of capers during dehydration and rehydration processes. in Journal of Food Process Engineering, 46(2).
https://doi.org/10.1111/jfpe.14249
conv_1068

Demir H, Demir H, Lončar B, Nićetin M, Pezo L, Yilmaz F. Artificial neural network and kinetic modeling of capers during dehydration and rehydration processes. in Journal of Food Process Engineering. 2023;46(2).
doi:10.1111/jfpe.14249
conv_1068 .

Demir, Hasan, Demir, Hande, Lončar, Biljana, Nićetin, Milica, Pezo, Lato, Yilmaz, Fatma, "Artificial neural network and kinetic modeling of capers during dehydration and rehydration processes" in Journal of Food Process Engineering, 46, no. 2 (2023),
https://doi.org/10.1111/jfpe.14249 .,
conv_1068 .

TY  - JOUR
AU  - Fotirić-Aksić, Milica
AU  - Nešović, Milica
AU  - Cirić, Ivanka
AU  - Tešić, Živoslav
AU  - Pezo, Lato
AU  - Tosti, Tomislav
AU  - Gašić, Uroš
AU  - Dojčinović, Biljana
AU  - Lončar, Biljana
AU  - Meland, Mekjell
PY  - 2022
UR  - https://riofh.iofh.bg.ac.rs/handle/123456789/941
AB  - Using modern analytical techniques, a comprehensive study of the chemical composition of fruits from apple cultivars grown in Western Norway during 2019 and 2020 was done. Metals, sugars, organic acids, antioxidant tests, and polyphenol content have been observed. In all investigated samples, the most dominant sugars were glucose, fructose, and sucrose. Among 11 tested organic acids, the dominant was malic acid, followed by citric and maleic acid. The most common metal was potassium, followed by magnesium and zinc. The quantification of polyphenols showed that among the 11 quantified polyphenols, chlorogenic acid, quercetin 3-O-rhamnoside, quercetin 3-O-glucoside, quercetin, and phlorizin were the most abundant. A detailed study of the polyphenolic profile of nine investigated apple samples provided 30 identified polyphenolic compounds from the class of hydroxybenzoic and hydroxycinnamic acids, flavonoids, and dihydrochalcones. In addition to the identified 3-O-caffeoylquinic acid, its two isomers of 5-O-caffeoylquinic acid and three esters were also found. Present polyphenols of the tested apples provided significant data on the quality of Norwegian apples, and they contribute to the distinguishing of these apple samples.
PB  - Frontiers Media S.A.
T2  - Frontiers in Nutrition
T1  - Polyphenolics and Chemical Profiles of Domestic Norwegian Apple (Malus x domestica Borkh.) Cultivars
VL  - 9
DO  - 10.3389/fnut.2022.941487
UR  - conv_1022
ER  - 

@article{
author = "Fotirić-Aksić, Milica and Nešović, Milica and Cirić, Ivanka and Tešić, Živoslav and Pezo, Lato and Tosti, Tomislav and Gašić, Uroš and Dojčinović, Biljana and Lončar, Biljana and Meland, Mekjell",
year = "2022",
abstract = "Using modern analytical techniques, a comprehensive study of the chemical composition of fruits from apple cultivars grown in Western Norway during 2019 and 2020 was done. Metals, sugars, organic acids, antioxidant tests, and polyphenol content have been observed. In all investigated samples, the most dominant sugars were glucose, fructose, and sucrose. Among 11 tested organic acids, the dominant was malic acid, followed by citric and maleic acid. The most common metal was potassium, followed by magnesium and zinc. The quantification of polyphenols showed that among the 11 quantified polyphenols, chlorogenic acid, quercetin 3-O-rhamnoside, quercetin 3-O-glucoside, quercetin, and phlorizin were the most abundant. A detailed study of the polyphenolic profile of nine investigated apple samples provided 30 identified polyphenolic compounds from the class of hydroxybenzoic and hydroxycinnamic acids, flavonoids, and dihydrochalcones. In addition to the identified 3-O-caffeoylquinic acid, its two isomers of 5-O-caffeoylquinic acid and three esters were also found. Present polyphenols of the tested apples provided significant data on the quality of Norwegian apples, and they contribute to the distinguishing of these apple samples.",
publisher = "Frontiers Media S.A.",
journal = "Frontiers in Nutrition",
title = "Polyphenolics and Chemical Profiles of Domestic Norwegian Apple (Malus x domestica Borkh.) Cultivars",
volume = "9",
doi = "10.3389/fnut.2022.941487",
url = "conv_1022"
}

Fotirić-Aksić, M., Nešović, M., Cirić, I., Tešić, Ž., Pezo, L., Tosti, T., Gašić, U., Dojčinović, B., Lončar, B.,& Meland, M.. (2022). Polyphenolics and Chemical Profiles of Domestic Norwegian Apple (Malus x domestica Borkh.) Cultivars. in Frontiers in Nutrition
Frontiers Media S.A.., 9.
https://doi.org/10.3389/fnut.2022.941487
conv_1022

Fotirić-Aksić M, Nešović M, Cirić I, Tešić Ž, Pezo L, Tosti T, Gašić U, Dojčinović B, Lončar B, Meland M. Polyphenolics and Chemical Profiles of Domestic Norwegian Apple (Malus x domestica Borkh.) Cultivars. in Frontiers in Nutrition. 2022;9.
doi:10.3389/fnut.2022.941487
conv_1022 .

Fotirić-Aksić, Milica, Nešović, Milica, Cirić, Ivanka, Tešić, Živoslav, Pezo, Lato, Tosti, Tomislav, Gašić, Uroš, Dojčinović, Biljana, Lončar, Biljana, Meland, Mekjell, "Polyphenolics and Chemical Profiles of Domestic Norwegian Apple (Malus x domestica Borkh.) Cultivars" in Frontiers in Nutrition, 9 (2022),
https://doi.org/10.3389/fnut.2022.941487 .,
conv_1022 .

TY  - JOUR
AU  - Pezo, Lato
AU  - Lončar, Biljana
AU  - Sovljanski, Olja
AU  - Tomić, Ana
AU  - Travicić, Vanja
AU  - Pezo, Milada
AU  - Aćimović, Milica
PY  - 2022
UR  - https://riofh.iofh.bg.ac.rs/handle/123456789/869
AB  - Simple Summary The artificial neural network (ANN) model was developed to predict and optimize the aniseed parameters including: plant height, umbel diameter, number of umbels, number of seeds, 1000-seed weight, yield per plant, plant weight, harvest index, yield per ha, essential oil yield, germination energy, total germination and essential oil content; as well as the content of obtained essential oil, such as: limonene, cis-dihydro carvone, methyl chavicol, carvone, cis-anethole, trans-anethole, beta-elemene, alpha-himachalene, trans-beta-farnesene, gamma-himachalene, trans-muurola-4(14),5-diene, alpha-zingiberene, beta-himachalene, beta-bisabolene, trans-pseudoisoeugenyl 2-methylbutyrate and epoxy-pseudoisoeugenyl 2-methylbutyrate), according to growing year, locality and fertilization type. 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, beta-elemene, alpha-himachalene, trans-beta-farnesene, gamma-himachalene, trans-muurola-4(14),5-diene, alpha-zingiberene, beta-himachalene, beta-bisabolene, trans-pseudoisoeugenyl 2-methylbutyrate and epoxy-pseudoisoeugenyl 2-methylbutyrate. The ANN model predicted agricultural parameters accurately, showing r(2) values between 0.555 and 0.918, while r(2) 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  - MDPI AG
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
VL  - 12
DO  - 10.3390/life12111722
UR  - conv_1057
ER  - 

@article{
author = "Pezo, Lato and Lončar, Biljana and Sovljanski, Olja and Tomić, Ana and Travicić, Vanja and Pezo, Milada and Aćimović, Milica",
year = "2022",
abstract = "Simple Summary The artificial neural network (ANN) model was developed to predict and optimize the aniseed parameters including: plant height, umbel diameter, number of umbels, number of seeds, 1000-seed weight, yield per plant, plant weight, harvest index, yield per ha, essential oil yield, germination energy, total germination and essential oil content; as well as the content of obtained essential oil, such as: limonene, cis-dihydro carvone, methyl chavicol, carvone, cis-anethole, trans-anethole, beta-elemene, alpha-himachalene, trans-beta-farnesene, gamma-himachalene, trans-muurola-4(14),5-diene, alpha-zingiberene, beta-himachalene, beta-bisabolene, trans-pseudoisoeugenyl 2-methylbutyrate and epoxy-pseudoisoeugenyl 2-methylbutyrate), according to growing year, locality and fertilization type. 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, beta-elemene, alpha-himachalene, trans-beta-farnesene, gamma-himachalene, trans-muurola-4(14),5-diene, alpha-zingiberene, beta-himachalene, beta-bisabolene, trans-pseudoisoeugenyl 2-methylbutyrate and epoxy-pseudoisoeugenyl 2-methylbutyrate. The ANN model predicted agricultural parameters accurately, showing r(2) values between 0.555 and 0.918, while r(2) 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 = "MDPI AG",
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",
volume = "12",
doi = "10.3390/life12111722",
url = "conv_1057"
}

Pezo, L., Lončar, B., Sovljanski, O., Tomić, A., Travicić, 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
MDPI AG., 12(11).
https://doi.org/10.3390/life12111722
conv_1057

Pezo L, Lončar B, Sovljanski O, Tomić A, Travicić 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).
doi:10.3390/life12111722
conv_1057 .

Pezo, Lato, Lončar, Biljana, Sovljanski, Olja, Tomić, Ana, Travicić, 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),
https://doi.org/10.3390/life12111722 .,
conv_1057 .

TY  - JOUR
AU  - Aćimović, Milica
AU  - Zeremski, Tijana
AU  - Sovljanski, Olja
AU  - Lončar, Biljana
AU  - Pezo, Lato
AU  - Zheljazkov, Valtcho D.
AU  - Pezo, Milada
AU  - Šuput, Danijela
AU  - Kurunci, Zoltan
PY  - 2022
UR  - https://riofh.iofh.bg.ac.rs/handle/123456789/864
AB  - Our previous research has proven that the immortelle (Helichrysum italicum) essential oil (EO) grown in Serbia possesses respectable biological potential and desirable composition of volatile compounds with the potential for a wide range of applications in the food, cosmetics, and pharmaceutical industries. Within this study, the impact of seasonal variations (temperature, precipitation, and insolation) during three successive years (2017, 2018, and 2019), on the volatile profile of gamma-curcumene + ar-curcumene immortelle chemotype was determined. Steam distillation was utilized to extract EO from the plant material, followed by chromatographic mass spectrometric analysis revealing 50 volatile compounds. A multiple linear regression model was developed, and principal component analyses were conducted to deliver detailed information regarding the prediction, component profile, and parallel contents of active compounds of the immortelle EO. Under Serbian agro-ecological conditions, with appropriate harvest method, immortelle can achieve two harvests per year: the first in July, and the second in August. The gamma-curcumene + ar-curcumene chemotype usually occurs as the dominant chemotype in the region of the ex-Yugoslavia countries. This chemotype probably developed as an adaptation to climatic conditions, and spring and summer precipitation positively influenced curcumene accumulation in plants. Such a phenomenon was especially noticeable in the first harvest.
PB  - MDPI AG
T2  - Horticulturae
T1  - Seasonal Variations in Essential Oil Composition of Immortelle Cultivated in Serbia
IS  - 12
VL  - 8
DO  - 10.3390/horticulturae8121183
UR  - conv_1063
ER  - 

@article{
author = "Aćimović, Milica and Zeremski, Tijana and Sovljanski, Olja and Lončar, Biljana and Pezo, Lato and Zheljazkov, Valtcho D. and Pezo, Milada and Šuput, Danijela and Kurunci, Zoltan",
year = "2022",
abstract = "Our previous research has proven that the immortelle (Helichrysum italicum) essential oil (EO) grown in Serbia possesses respectable biological potential and desirable composition of volatile compounds with the potential for a wide range of applications in the food, cosmetics, and pharmaceutical industries. Within this study, the impact of seasonal variations (temperature, precipitation, and insolation) during three successive years (2017, 2018, and 2019), on the volatile profile of gamma-curcumene + ar-curcumene immortelle chemotype was determined. Steam distillation was utilized to extract EO from the plant material, followed by chromatographic mass spectrometric analysis revealing 50 volatile compounds. A multiple linear regression model was developed, and principal component analyses were conducted to deliver detailed information regarding the prediction, component profile, and parallel contents of active compounds of the immortelle EO. Under Serbian agro-ecological conditions, with appropriate harvest method, immortelle can achieve two harvests per year: the first in July, and the second in August. The gamma-curcumene + ar-curcumene chemotype usually occurs as the dominant chemotype in the region of the ex-Yugoslavia countries. This chemotype probably developed as an adaptation to climatic conditions, and spring and summer precipitation positively influenced curcumene accumulation in plants. Such a phenomenon was especially noticeable in the first harvest.",
publisher = "MDPI AG",
journal = "Horticulturae",
title = "Seasonal Variations in Essential Oil Composition of Immortelle Cultivated in Serbia",
number = "12",
volume = "8",
doi = "10.3390/horticulturae8121183",
url = "conv_1063"
}

Aćimović, M., Zeremski, T., Sovljanski, O., Lončar, B., Pezo, L., Zheljazkov, V. D., Pezo, M., Šuput, D.,& Kurunci, Z.. (2022). Seasonal Variations in Essential Oil Composition of Immortelle Cultivated in Serbia. in Horticulturae
MDPI AG., 8(12).
https://doi.org/10.3390/horticulturae8121183
conv_1063

Aćimović M, Zeremski T, Sovljanski O, Lončar B, Pezo L, Zheljazkov VD, Pezo M, Šuput D, Kurunci Z. Seasonal Variations in Essential Oil Composition of Immortelle Cultivated in Serbia. in Horticulturae. 2022;8(12).
doi:10.3390/horticulturae8121183
conv_1063 .

Aćimović, Milica, Zeremski, Tijana, Sovljanski, Olja, Lončar, Biljana, Pezo, Lato, Zheljazkov, Valtcho D., Pezo, Milada, Šuput, Danijela, Kurunci, Zoltan, "Seasonal Variations in Essential Oil Composition of Immortelle Cultivated in Serbia" in Horticulturae, 8, no. 12 (2022),
https://doi.org/10.3390/horticulturae8121183 .,
conv_1063 .

TY  - JOUR
AU  - Aćimović, Milica
AU  - Lončar, Biljana
AU  - Stankovic Jeremić, Jovana
AU  - Cvetković, Mirjana
AU  - Pezo, Lato
AU  - Pezo, Milada
AU  - Todosijević, Marina
AU  - Tešević, Vele
PY  - 2022
UR  - https://riofh.iofh.bg.ac.rs/handle/123456789/896
AB  - Lavandula sp. essential oil and hydrolate are commercially valuable in various industry branches with the potential for wide-ranging applications. This study aimed to evaluate the quality of these products obtained from L. x intermedia cv. 'Budrovka' for the first time cultivated on Fruska Gora Mt. (Serbia) during three successive seasons (2019, 2020, and 2021). Essential oil extraction was obtained by steam distillation, and the composition and influence of weather conditions were also assessed, using flowering tops. The obtained essential oils and hydrolates were analysed by gas chromatography with a flame ionization detector (GC-FID) and gas chromatography coupled to mass spectrometry (GC-MS). A linear regression model was developed to predict L. x intermedia cv. 'Budrovka' essential oil volatile compound content and hydrolate composition during three years, according to temperature and precipitation data, and the appropriate regression coefficients were calculated, while the correlation analysis was employed to analyse the correlations in hydrolate and essential oil compounds. To completely describe the structure of the research data that would present a better insight into the similarities and differences among the diverse L. x intermedia cv. 'Budrovka' samples, the PCA was used. The most dominant in L. intermedia cv. 'Budrovka' essential oil and hydrolate were oxygenated monoterpenes: linalool, 1,8-cineole, borneol, linalyl acetate, and terpinene-4-ol. It is established that the temperature was positively correlated with all essential oil and hydrolate compounds. The precipitations were positively correlated with the main compounds (linalool, 1,8-cineole, and borneol), while the other compounds' content negatively correlated to precipitation. The results indicated that Fruska Gora Mt. has suitable agro-ecological requirements for cultivating Lavandula sp. and providing satisfactory essential oil and hydrolate.
PB  - MDPI AG
T2  - Horticulturae
T1  - Weather Conditions Influence on Lavandin Essential Oil and Hydrolate Quality
IS  - 4
VL  - 8
DO  - 10.3390/horticulturae8040281
UR  - conv_1002
ER  - 

@article{
author = "Aćimović, Milica and Lončar, Biljana and Stankovic Jeremić, Jovana and Cvetković, Mirjana and Pezo, Lato and Pezo, Milada and Todosijević, Marina and Tešević, Vele",
year = "2022",
abstract = "Lavandula sp. essential oil and hydrolate are commercially valuable in various industry branches with the potential for wide-ranging applications. This study aimed to evaluate the quality of these products obtained from L. x intermedia cv. 'Budrovka' for the first time cultivated on Fruska Gora Mt. (Serbia) during three successive seasons (2019, 2020, and 2021). Essential oil extraction was obtained by steam distillation, and the composition and influence of weather conditions were also assessed, using flowering tops. The obtained essential oils and hydrolates were analysed by gas chromatography with a flame ionization detector (GC-FID) and gas chromatography coupled to mass spectrometry (GC-MS). A linear regression model was developed to predict L. x intermedia cv. 'Budrovka' essential oil volatile compound content and hydrolate composition during three years, according to temperature and precipitation data, and the appropriate regression coefficients were calculated, while the correlation analysis was employed to analyse the correlations in hydrolate and essential oil compounds. To completely describe the structure of the research data that would present a better insight into the similarities and differences among the diverse L. x intermedia cv. 'Budrovka' samples, the PCA was used. The most dominant in L. intermedia cv. 'Budrovka' essential oil and hydrolate were oxygenated monoterpenes: linalool, 1,8-cineole, borneol, linalyl acetate, and terpinene-4-ol. It is established that the temperature was positively correlated with all essential oil and hydrolate compounds. The precipitations were positively correlated with the main compounds (linalool, 1,8-cineole, and borneol), while the other compounds' content negatively correlated to precipitation. The results indicated that Fruska Gora Mt. has suitable agro-ecological requirements for cultivating Lavandula sp. and providing satisfactory essential oil and hydrolate.",
publisher = "MDPI AG",
journal = "Horticulturae",
title = "Weather Conditions Influence on Lavandin Essential Oil and Hydrolate Quality",
number = "4",
volume = "8",
doi = "10.3390/horticulturae8040281",
url = "conv_1002"
}

Aćimović, M., Lončar, B., Stankovic Jeremić, J., Cvetković, M., Pezo, L., Pezo, M., Todosijević, M.,& Tešević, V.. (2022). Weather Conditions Influence on Lavandin Essential Oil and Hydrolate Quality. in Horticulturae
MDPI AG., 8(4).
https://doi.org/10.3390/horticulturae8040281
conv_1002

Aćimović M, Lončar B, Stankovic Jeremić J, Cvetković M, Pezo L, Pezo M, Todosijević M, Tešević V. Weather Conditions Influence on Lavandin Essential Oil and Hydrolate Quality. in Horticulturae. 2022;8(4).
doi:10.3390/horticulturae8040281
conv_1002 .

Aćimović, Milica, Lončar, Biljana, Stankovic Jeremić, Jovana, Cvetković, Mirjana, Pezo, Lato, Pezo, Milada, Todosijević, Marina, Tešević, Vele, "Weather Conditions Influence on Lavandin Essential Oil and Hydrolate Quality" in Horticulturae, 8, no. 4 (2022),
https://doi.org/10.3390/horticulturae8040281 .,
conv_1002 .

TY  - JOUR
AU  - Aćimović, Milica
AU  - Lončar, Biljana
AU  - Pezo, Milada
AU  - Stankovic Jeremić, Jovana
AU  - Cvetković, Mirjana
AU  - Rat, Milica
AU  - Pezo, Lato
PY  - 2022
UR  - https://riofh.iofh.bg.ac.rs/handle/123456789/902
AB  - Unlike other studies that only determined the chemical composition of essential oils depending on their geographic origin, this research investigated the effect of weather conditions (temperature, precipitation, and insolation) on the chemical composition of Nepeta nuda L. essential oil. The collection of wild-growing N. nuda was carried out during three successive years, 2019, 2020, and 2021 at Rtanj Mountain (Serbia) on the same date (July 7th). Essential oil extraction from the plant was performed by hydro-distillation. After gas chromatographic-mass spectrometric analysis, a total of 102 volatile compounds were separated from N. nuda, during the observed period, 28 were unidentified, compromising between 5.0% and 8.7%, depending on the year. A multiple linear regression model was created, and statistical analyses were performed to provide knowledge about the prediction, feature profile, and the similarity in contents of active compounds of the N. nuda essential oil. The influence of temperature on the accumulation of the most abundant component, 1,8-cineole, was positive, while the impact of precipitation and insolation was negative. According to the cluster tree, there are four chemotypes of N. nuda essential oil: with nepetalactone, 1,8-cineole, mixed (nepetalactone+1,8-cineole+germacrene D), and nonspecific chemotypes. Bearing in mind that the biological activity of a raw material depends on the chemotype and environmental factors, this is a topic that deserves a more detailed approach. The N. nuda and its essential oil are promising materials with high biological potential, and these deserve further detailed investigation.
PB  - MDPI AG
T2  - Horticulturae
T1  - Volatile Compounds of Nepeta nuda L. from Rtanj Mountain (Serbia)
IS  - 2
VL  - 8
DO  - 10.3390/horticulturae8020085
UR  - conv_1008
ER  - 

@article{
author = "Aćimović, Milica and Lončar, Biljana and Pezo, Milada and Stankovic Jeremić, Jovana and Cvetković, Mirjana and Rat, Milica and Pezo, Lato",
year = "2022",
abstract = "Unlike other studies that only determined the chemical composition of essential oils depending on their geographic origin, this research investigated the effect of weather conditions (temperature, precipitation, and insolation) on the chemical composition of Nepeta nuda L. essential oil. The collection of wild-growing N. nuda was carried out during three successive years, 2019, 2020, and 2021 at Rtanj Mountain (Serbia) on the same date (July 7th). Essential oil extraction from the plant was performed by hydro-distillation. After gas chromatographic-mass spectrometric analysis, a total of 102 volatile compounds were separated from N. nuda, during the observed period, 28 were unidentified, compromising between 5.0% and 8.7%, depending on the year. A multiple linear regression model was created, and statistical analyses were performed to provide knowledge about the prediction, feature profile, and the similarity in contents of active compounds of the N. nuda essential oil. The influence of temperature on the accumulation of the most abundant component, 1,8-cineole, was positive, while the impact of precipitation and insolation was negative. According to the cluster tree, there are four chemotypes of N. nuda essential oil: with nepetalactone, 1,8-cineole, mixed (nepetalactone+1,8-cineole+germacrene D), and nonspecific chemotypes. Bearing in mind that the biological activity of a raw material depends on the chemotype and environmental factors, this is a topic that deserves a more detailed approach. The N. nuda and its essential oil are promising materials with high biological potential, and these deserve further detailed investigation.",
publisher = "MDPI AG",
journal = "Horticulturae",
title = "Volatile Compounds of Nepeta nuda L. from Rtanj Mountain (Serbia)",
number = "2",
volume = "8",
doi = "10.3390/horticulturae8020085",
url = "conv_1008"
}

Aćimović, M., Lončar, B., Pezo, M., Stankovic Jeremić, J., Cvetković, M., Rat, M.,& Pezo, L.. (2022). Volatile Compounds of Nepeta nuda L. from Rtanj Mountain (Serbia). in Horticulturae
MDPI AG., 8(2).
https://doi.org/10.3390/horticulturae8020085
conv_1008

Aćimović M, Lončar B, Pezo M, Stankovic Jeremić J, Cvetković M, Rat M, Pezo L. Volatile Compounds of Nepeta nuda L. from Rtanj Mountain (Serbia). in Horticulturae. 2022;8(2).
doi:10.3390/horticulturae8020085
conv_1008 .

Aćimović, Milica, Lončar, Biljana, Pezo, Milada, Stankovic Jeremić, Jovana, Cvetković, Mirjana, Rat, Milica, Pezo, Lato, "Volatile Compounds of Nepeta nuda L. from Rtanj Mountain (Serbia)" in Horticulturae, 8, no. 2 (2022),
https://doi.org/10.3390/horticulturae8020085 .,
conv_1008 .

TY  - JOUR
AU  - Rajković, Dragana
AU  - Marjanovic Jeromela, Ana
AU  - Pezo, Lato
AU  - Lončar, Biljana
AU  - Zanetti, Federica
AU  - Monti, Andrea
AU  - Kondic Spika, Ankica
PY  - 2022
UR  - https://riofh.iofh.bg.ac.rs/handle/123456789/932
AB  - As one of the greatest agricultural challenges, yield prediction is an important issue for producers, stakeholders, and the global trade market. Most of the variation in yield is attributed to environmental factors such as climate conditions, soil type and cultivation practices. Artificial neural networks (ANNs) and random forest regression (RFR) are machine learning tools that are used unambiguously for crop yield prediction. There is limited research regarding the application of these mathematical models for the prediction of rapeseed yield and quality. A four-year study (2015-2018) was carried out in the Republic of Serbia with 40 winter rapeseed genotypes. The field trial was designed as a randomized complete block design in three replications. ANN, based on the Broyden-Fletcher-Goldfarb-Shanno iterative algorithm, and RFR models were used for prediction of seed yield, oil and protein yield, oil and protein content, and 1000 seed weight, based on the year of production and genotype. The best production year for rapeseed cultivation was 2016, when the highest seed and oil yield were achieved, 2994 kg/ha and 1402 kg/ha, respectively. The RFR model showed better prediction capabilities compared to the ANN model (the r(2) values for prediction of output variables were 0.944, 0.935, 0.912, 0.886, 0.936 and 0.900, for oil and protein content, seed yield, 1000 seed weight, oil and protein yield, respectively).
PB  - MDPI AG
T2  - Agronomy-Basel
T1  - Yield and Quality Prediction of Winter Rapeseed-Artificial Neural Network and Random Forest Models
IS  - 1
VL  - 12
DO  - 10.3390/agronomy12010058
UR  - conv_982
ER  - 

@article{
author = "Rajković, Dragana and Marjanovic Jeromela, Ana and Pezo, Lato and Lončar, Biljana and Zanetti, Federica and Monti, Andrea and Kondic Spika, Ankica",
year = "2022",
abstract = "As one of the greatest agricultural challenges, yield prediction is an important issue for producers, stakeholders, and the global trade market. Most of the variation in yield is attributed to environmental factors such as climate conditions, soil type and cultivation practices. Artificial neural networks (ANNs) and random forest regression (RFR) are machine learning tools that are used unambiguously for crop yield prediction. There is limited research regarding the application of these mathematical models for the prediction of rapeseed yield and quality. A four-year study (2015-2018) was carried out in the Republic of Serbia with 40 winter rapeseed genotypes. The field trial was designed as a randomized complete block design in three replications. ANN, based on the Broyden-Fletcher-Goldfarb-Shanno iterative algorithm, and RFR models were used for prediction of seed yield, oil and protein yield, oil and protein content, and 1000 seed weight, based on the year of production and genotype. The best production year for rapeseed cultivation was 2016, when the highest seed and oil yield were achieved, 2994 kg/ha and 1402 kg/ha, respectively. The RFR model showed better prediction capabilities compared to the ANN model (the r(2) values for prediction of output variables were 0.944, 0.935, 0.912, 0.886, 0.936 and 0.900, for oil and protein content, seed yield, 1000 seed weight, oil and protein yield, respectively).",
publisher = "MDPI AG",
journal = "Agronomy-Basel",
title = "Yield and Quality Prediction of Winter Rapeseed-Artificial Neural Network and Random Forest Models",
number = "1",
volume = "12",
doi = "10.3390/agronomy12010058",
url = "conv_982"
}

Rajković, D., Marjanovic Jeromela, A., Pezo, L., Lončar, B., Zanetti, F., Monti, A.,& Kondic Spika, A.. (2022). Yield and Quality Prediction of Winter Rapeseed-Artificial Neural Network and Random Forest Models. in Agronomy-Basel
MDPI AG., 12(1).
https://doi.org/10.3390/agronomy12010058
conv_982

Rajković D, Marjanovic Jeromela A, Pezo L, Lončar B, Zanetti F, Monti A, Kondic Spika A. Yield and Quality Prediction of Winter Rapeseed-Artificial Neural Network and Random Forest Models. in Agronomy-Basel. 2022;12(1).
doi:10.3390/agronomy12010058
conv_982 .

Rajković, Dragana, Marjanovic Jeromela, Ana, Pezo, Lato, Lončar, Biljana, Zanetti, Federica, Monti, Andrea, Kondic Spika, Ankica, "Yield and Quality Prediction of Winter Rapeseed-Artificial Neural Network and Random Forest Models" in Agronomy-Basel, 12, no. 1 (2022),
https://doi.org/10.3390/agronomy12010058 .,
conv_982 .

TY  - JOUR
AU  - Aćimović, Milica
AU  - Rat, Milica
AU  - Pezo, Lato
AU  - Lončar, Biljana
AU  - Pezo, Milada
AU  - Miljković, Ana
AU  - Lazarević, Jovan
PY  - 2022
UR  - https://riofh.iofh.bg.ac.rs/handle/123456789/946
AB  - Garden angelica (Angelica archangelica L.), native to the northern temperate region, is widespread in Europe and Asia. Since the middle ages, it has been used for healing and as a vegetable in traditional dishes. In the modern era, it has been proven that A. archangelica has a complex chemical composition. The main derivatives that contribute to the plant's biological activities are essential oil and coumarins. In this review, the focus is on the cross-analysis of the taxonomy of A. archangelica, and its distribution in different regions, with the presentation of the richness of its biochemical composition, which overall contributes to the widespread use of the roots of this plant in folk medicine. It belongs to the plants that were introduced to the wider area of Central, Eastern, and Southern Europe; as a medicinal plant, it represents a significant part of the medical flora of many areas. Cluster analysis of pooled data indicates a clear differentiation of chemotypes.
PB  - MDPI AG
T2  - Agronomy-Basel
T1  - Biological and Chemical Diversity of Angelica archangelica L.-Case Study of Essential Oil and Its Biological Activity
IS  - 7
VL  - 12
DO  - 10.3390/agronomy12071570
UR  - conv_1031
ER  - 

@article{
author = "Aćimović, Milica and Rat, Milica and Pezo, Lato and Lončar, Biljana and Pezo, Milada and Miljković, Ana and Lazarević, Jovan",
year = "2022",
abstract = "Garden angelica (Angelica archangelica L.), native to the northern temperate region, is widespread in Europe and Asia. Since the middle ages, it has been used for healing and as a vegetable in traditional dishes. In the modern era, it has been proven that A. archangelica has a complex chemical composition. The main derivatives that contribute to the plant's biological activities are essential oil and coumarins. In this review, the focus is on the cross-analysis of the taxonomy of A. archangelica, and its distribution in different regions, with the presentation of the richness of its biochemical composition, which overall contributes to the widespread use of the roots of this plant in folk medicine. It belongs to the plants that were introduced to the wider area of Central, Eastern, and Southern Europe; as a medicinal plant, it represents a significant part of the medical flora of many areas. Cluster analysis of pooled data indicates a clear differentiation of chemotypes.",
publisher = "MDPI AG",
journal = "Agronomy-Basel",
title = "Biological and Chemical Diversity of Angelica archangelica L.-Case Study of Essential Oil and Its Biological Activity",
number = "7",
volume = "12",
doi = "10.3390/agronomy12071570",
url = "conv_1031"
}

Aćimović, M., Rat, M., Pezo, L., Lončar, B., Pezo, M., Miljković, A.,& Lazarević, J.. (2022). Biological and Chemical Diversity of Angelica archangelica L.-Case Study of Essential Oil and Its Biological Activity. in Agronomy-Basel
MDPI AG., 12(7).
https://doi.org/10.3390/agronomy12071570
conv_1031

Aćimović M, Rat M, Pezo L, Lončar B, Pezo M, Miljković A, Lazarević J. Biological and Chemical Diversity of Angelica archangelica L.-Case Study of Essential Oil and Its Biological Activity. in Agronomy-Basel. 2022;12(7).
doi:10.3390/agronomy12071570
conv_1031 .

Aćimović, Milica, Rat, Milica, Pezo, Lato, Lončar, Biljana, Pezo, Milada, Miljković, Ana, Lazarević, Jovan, "Biological and Chemical Diversity of Angelica archangelica L.-Case Study of Essential Oil and Its Biological Activity" in Agronomy-Basel, 12, no. 7 (2022),
https://doi.org/10.3390/agronomy12071570 .,
conv_1031 .

TY  - JOUR
AU  - Aćimović, Milica
AU  - Pezo, Lato
AU  - Čabarkapa, Ivana
AU  - Trudić, Anika
AU  - Stankovic Jeremić, Jovana
AU  - Varga, Ana
AU  - Lončar, Biljana
AU  - Sovljanski, Olja
AU  - Tešević, Vele
PY  - 2022
UR  - https://riofh.iofh.bg.ac.rs/handle/123456789/952
AB  - This study aimed to investigate the chemical composition of steam distillate essential oil and corresponding hydrolate obtained from S. officinalis grown in Serbia, as well as the influence of weather conditions (temperature and precipitations) on their chemical profiles. Furthermore, their antimicrobial activity was investigated in vitro. The main compounds in essential oil were cis-thujone, followed by camphor, trans-thujone, and 1,8-cineole, while hydrolate was slightly different from the essential oil, with camphor, cis-thujone, and 1,8-cineole as the main compounds. Among the eight respiratory-associated microorganisms, Klebsiella oxytoca was the most sensitive to the tested EOs (minimum inhibitory concentration (MIC)/minimal bactericidal/fungicidal concentration (MBC/MFC) were 14.20 and 28.4 mu L mL(-1), respectively). MIC and MBC values of other tested bacteria ranged between 28.40 and 227.25 mu L mL(-1) while for Candida albicans MIC/MFC ranged from 28.40/56.81 to 56.81-113.63 mu L mL(-1). Antibiotic susceptibility patterns for the analyzed eight respiratory-associated microorganisms showed an intermediate level of resistance to commonly used antibiotics such as ampicillin, levofloxacin, and ciprofloxacin. As a preliminary approach to the antimicrobial profiling of the tested EO, the obtained results revealed that the tested samples possess remarkable antibacterial activities and could be used to develop pharmaceutical formulations as an alternative to conventional antibiotic therapy.
PB  - MDPI AG
T2  - Processes
T1  - Variation of Salvia officinalis L. Essential Oil and Hydrolate Composition and Their Antimicrobial Activity
IS  - 8
VL  - 10
DO  - 10.3390/pr10081608
UR  - conv_1036
ER  - 

@article{
author = "Aćimović, Milica and Pezo, Lato and Čabarkapa, Ivana and Trudić, Anika and Stankovic Jeremić, Jovana and Varga, Ana and Lončar, Biljana and Sovljanski, Olja and Tešević, Vele",
year = "2022",
abstract = "This study aimed to investigate the chemical composition of steam distillate essential oil and corresponding hydrolate obtained from S. officinalis grown in Serbia, as well as the influence of weather conditions (temperature and precipitations) on their chemical profiles. Furthermore, their antimicrobial activity was investigated in vitro. The main compounds in essential oil were cis-thujone, followed by camphor, trans-thujone, and 1,8-cineole, while hydrolate was slightly different from the essential oil, with camphor, cis-thujone, and 1,8-cineole as the main compounds. Among the eight respiratory-associated microorganisms, Klebsiella oxytoca was the most sensitive to the tested EOs (minimum inhibitory concentration (MIC)/minimal bactericidal/fungicidal concentration (MBC/MFC) were 14.20 and 28.4 mu L mL(-1), respectively). MIC and MBC values of other tested bacteria ranged between 28.40 and 227.25 mu L mL(-1) while for Candida albicans MIC/MFC ranged from 28.40/56.81 to 56.81-113.63 mu L mL(-1). Antibiotic susceptibility patterns for the analyzed eight respiratory-associated microorganisms showed an intermediate level of resistance to commonly used antibiotics such as ampicillin, levofloxacin, and ciprofloxacin. As a preliminary approach to the antimicrobial profiling of the tested EO, the obtained results revealed that the tested samples possess remarkable antibacterial activities and could be used to develop pharmaceutical formulations as an alternative to conventional antibiotic therapy.",
publisher = "MDPI AG",
journal = "Processes",
title = "Variation of Salvia officinalis L. Essential Oil and Hydrolate Composition and Their Antimicrobial Activity",
number = "8",
volume = "10",
doi = "10.3390/pr10081608",
url = "conv_1036"
}

Aćimović, M., Pezo, L., Čabarkapa, I., Trudić, A., Stankovic Jeremić, J., Varga, A., Lončar, B., Sovljanski, O.,& Tešević, V.. (2022). Variation of Salvia officinalis L. Essential Oil and Hydrolate Composition and Their Antimicrobial Activity. in Processes
MDPI AG., 10(8).
https://doi.org/10.3390/pr10081608
conv_1036

Aćimović M, Pezo L, Čabarkapa I, Trudić A, Stankovic Jeremić J, Varga A, Lončar B, Sovljanski O, Tešević V. Variation of Salvia officinalis L. Essential Oil and Hydrolate Composition and Their Antimicrobial Activity. in Processes. 2022;10(8).
doi:10.3390/pr10081608
conv_1036 .

Aćimović, Milica, Pezo, Lato, Čabarkapa, Ivana, Trudić, Anika, Stankovic Jeremić, Jovana, Varga, Ana, Lončar, Biljana, Sovljanski, Olja, Tešević, Vele, "Variation of Salvia officinalis L. Essential Oil and Hydrolate Composition and Their Antimicrobial Activity" in Processes, 10, no. 8 (2022),
https://doi.org/10.3390/pr10081608 .,
conv_1036 .

TY  - JOUR
AU  - Sovljanski, Olja
AU  - Saveljić, Anja
AU  - Tomić, Ana
AU  - Seregelj, Vanja
AU  - Lončar, Biljana
AU  - Cvetković, Dragoljub
AU  - Ranitović, Aleksandra
AU  - Pezo, Lato
AU  - Cetković, Gordana
AU  - Markov, Siniša
AU  - Čanadanović-Brunet, Jasna
PY  - 2022
UR  - https://riofh.iofh.bg.ac.rs/handle/123456789/963
AB  - Yeasts are considered an extraordinary alternative source of natural carotenoids and pigmented terpenoids with multiple applications. Production of carotenoids by yeast fermentation technology has many benefits; it is cost-effective, easily scalable, and safe. The aim of this research is the isolation of yeasts from natural resources and selection of the most potent bioagent for carotenoid production. Additionally, an upgraded carotenoid extraction protocol we established, which implies the testing of four methods for cell lysis (hydrochloric acid treatment, ultrasound treatment, milling treatment, and osmotic pressure treatment), three extraction methods (conventional extraction, ultrasound extraction, and conventional + ultrasound extraction), and three extraction solvents (acetone, isopropanol/methanol (50:50), and ethanol). For the first time, the obtained results were further modeled by an artificial neural network (ANN). Based on the obtained maximal carotenoid yield (253.74 +/- 9.74 mg/100 g d.w) for the best-performing Rhodotorula mucilaginosa, the optimized extraction procedure involving milling treatment (for cell lysis) and conventional extraction with acetone (for carotenoid extraction) convincingly stood out compared to the other 35 tested protocols. Therefore, the selected carotenoid extraction protocol was verified with respect to its universality for all other yeast isolates, demonstrating its simplicity and effectiveness.
PB  - MDPI AG
T2  - Processes
T1  - Carotenoid-Producing Yeasts: Selection of the Best-Performing Strain and the Total Carotenoid Extraction Procedure
IS  - 9
VL  - 10
DO  - 10.3390/pr10091699
UR  - conv_1042
ER  - 

@article{
author = "Sovljanski, Olja and Saveljić, Anja and Tomić, Ana and Seregelj, Vanja and Lončar, Biljana and Cvetković, Dragoljub and Ranitović, Aleksandra and Pezo, Lato and Cetković, Gordana and Markov, Siniša and Čanadanović-Brunet, Jasna",
year = "2022",
abstract = "Yeasts are considered an extraordinary alternative source of natural carotenoids and pigmented terpenoids with multiple applications. Production of carotenoids by yeast fermentation technology has many benefits; it is cost-effective, easily scalable, and safe. The aim of this research is the isolation of yeasts from natural resources and selection of the most potent bioagent for carotenoid production. Additionally, an upgraded carotenoid extraction protocol we established, which implies the testing of four methods for cell lysis (hydrochloric acid treatment, ultrasound treatment, milling treatment, and osmotic pressure treatment), three extraction methods (conventional extraction, ultrasound extraction, and conventional + ultrasound extraction), and three extraction solvents (acetone, isopropanol/methanol (50:50), and ethanol). For the first time, the obtained results were further modeled by an artificial neural network (ANN). Based on the obtained maximal carotenoid yield (253.74 +/- 9.74 mg/100 g d.w) for the best-performing Rhodotorula mucilaginosa, the optimized extraction procedure involving milling treatment (for cell lysis) and conventional extraction with acetone (for carotenoid extraction) convincingly stood out compared to the other 35 tested protocols. Therefore, the selected carotenoid extraction protocol was verified with respect to its universality for all other yeast isolates, demonstrating its simplicity and effectiveness.",
publisher = "MDPI AG",
journal = "Processes",
title = "Carotenoid-Producing Yeasts: Selection of the Best-Performing Strain and the Total Carotenoid Extraction Procedure",
number = "9",
volume = "10",
doi = "10.3390/pr10091699",
url = "conv_1042"
}

Sovljanski, O., Saveljić, A., Tomić, A., Seregelj, V., Lončar, B., Cvetković, D., Ranitović, A., Pezo, L., Cetković, G., Markov, S.,& Čanadanović-Brunet, J.. (2022). Carotenoid-Producing Yeasts: Selection of the Best-Performing Strain and the Total Carotenoid Extraction Procedure. in Processes
MDPI AG., 10(9).
https://doi.org/10.3390/pr10091699
conv_1042

Sovljanski O, Saveljić A, Tomić A, Seregelj V, Lončar B, Cvetković D, Ranitović A, Pezo L, Cetković G, Markov S, Čanadanović-Brunet J. Carotenoid-Producing Yeasts: Selection of the Best-Performing Strain and the Total Carotenoid Extraction Procedure. in Processes. 2022;10(9).
doi:10.3390/pr10091699
conv_1042 .

Sovljanski, Olja, Saveljić, Anja, Tomić, Ana, Seregelj, Vanja, Lončar, Biljana, Cvetković, Dragoljub, Ranitović, Aleksandra, Pezo, Lato, Cetković, Gordana, Markov, Siniša, Čanadanović-Brunet, Jasna, "Carotenoid-Producing Yeasts: Selection of the Best-Performing Strain and the Total Carotenoid Extraction Procedure" in Processes, 10, no. 9 (2022),
https://doi.org/10.3390/pr10091699 .,
conv_1042 .

TY  - JOUR
AU  - Fotirić-Aksić, Milica
AU  - Kalaba, Milica
AU  - Cirić, Ivanka
AU  - Tešić, Živoslav
AU  - Pezo, Lato
AU  - Tosti, Tomislav
AU  - Gašić, Uroš
AU  - Dojčinović, Biljana
AU  - Lončar, Biljana
AU  - Meland, Mekjell
PY  - 2022
UR  - https://riofh.iofh.bg.ac.rs/handle/123456789/943
AB  - Raspberries are considered valuable fruits due to their high levels of nutrients and phytochemicals, which have many beneficial effects on humans. As many external factors affect the composition of these fruits (the type of cultivation, soil characteristics, ripeness, storage time and post-harvest technologies, cultivar/genotype, and climatic conditions), the goal of this study was to analyze different raspberry cultivars grown in Norway. Considering that Norway is a country with specific climatic conditions, as well as has a limited period of fruit vegetation, another important goal of this study was also to compare raspberries from different Norwegian areas, as well as different grown cultivars. Modern analytical techniques, such as high-performance anion-exchange liquid chromatography with pulsed amperometric detection (HPEAC-PAD), ultra-high-performance liquid chromatography with diode array detector coupled to triple quadrupole mass spectrometry (UHPLC-DAD MS/MS), and inductively coupled plasma-optical emission spectrometry (ICP-OES), provided a detailed examination of the raspberry extract samples. Based on their high levels of minerals (especially N, P, and K), organic acids (predominantly citric and malic acids), sugars (glucose, fructose, sucrose, and galactose), and polyphenols (ellagic acid, syringic acid, quercetin, and rutin), Norwegian raspberries could be considered fruits with increased health-beneficial compounds. The chemical composition of the studied cultivars depended on the locality of growth.
PB  - MDPI AG
T2  - Horticulturae
T1  - Chemical Fruit Profiles of Different Raspberry Cultivars Grown in Specific Norwegian Agroclimatic Conditions
IS  - 9
VL  - 8
DO  - 10.3390/horticulturae8090765
UR  - conv_1039
ER  - 

@article{
author = "Fotirić-Aksić, Milica and Kalaba, Milica and Cirić, Ivanka and Tešić, Živoslav and Pezo, Lato and Tosti, Tomislav and Gašić, Uroš and Dojčinović, Biljana and Lončar, Biljana and Meland, Mekjell",
year = "2022",
abstract = "Raspberries are considered valuable fruits due to their high levels of nutrients and phytochemicals, which have many beneficial effects on humans. As many external factors affect the composition of these fruits (the type of cultivation, soil characteristics, ripeness, storage time and post-harvest technologies, cultivar/genotype, and climatic conditions), the goal of this study was to analyze different raspberry cultivars grown in Norway. Considering that Norway is a country with specific climatic conditions, as well as has a limited period of fruit vegetation, another important goal of this study was also to compare raspberries from different Norwegian areas, as well as different grown cultivars. Modern analytical techniques, such as high-performance anion-exchange liquid chromatography with pulsed amperometric detection (HPEAC-PAD), ultra-high-performance liquid chromatography with diode array detector coupled to triple quadrupole mass spectrometry (UHPLC-DAD MS/MS), and inductively coupled plasma-optical emission spectrometry (ICP-OES), provided a detailed examination of the raspberry extract samples. Based on their high levels of minerals (especially N, P, and K), organic acids (predominantly citric and malic acids), sugars (glucose, fructose, sucrose, and galactose), and polyphenols (ellagic acid, syringic acid, quercetin, and rutin), Norwegian raspberries could be considered fruits with increased health-beneficial compounds. The chemical composition of the studied cultivars depended on the locality of growth.",
publisher = "MDPI AG",
journal = "Horticulturae",
title = "Chemical Fruit Profiles of Different Raspberry Cultivars Grown in Specific Norwegian Agroclimatic Conditions",
number = "9",
volume = "8",
doi = "10.3390/horticulturae8090765",
url = "conv_1039"
}

Fotirić-Aksić, M., Kalaba, M., Cirić, I., Tešić, Ž., Pezo, L., Tosti, T., Gašić, U., Dojčinović, B., Lončar, B.,& Meland, M.. (2022). Chemical Fruit Profiles of Different Raspberry Cultivars Grown in Specific Norwegian Agroclimatic Conditions. in Horticulturae
MDPI AG., 8(9).
https://doi.org/10.3390/horticulturae8090765
conv_1039

Fotirić-Aksić M, Kalaba M, Cirić I, Tešić Ž, Pezo L, Tosti T, Gašić U, Dojčinović B, Lončar B, Meland M. Chemical Fruit Profiles of Different Raspberry Cultivars Grown in Specific Norwegian Agroclimatic Conditions. in Horticulturae. 2022;8(9).
doi:10.3390/horticulturae8090765
conv_1039 .

Fotirić-Aksić, Milica, Kalaba, Milica, Cirić, Ivanka, Tešić, Živoslav, Pezo, Lato, Tosti, Tomislav, Gašić, Uroš, Dojčinović, Biljana, Lončar, Biljana, Meland, Mekjell, "Chemical Fruit Profiles of Different Raspberry Cultivars Grown in Specific Norwegian Agroclimatic Conditions" in Horticulturae, 8, no. 9 (2022),
https://doi.org/10.3390/horticulturae8090765 .,
conv_1039 .

TY  - JOUR
AU  - Nićetin, Milica
AU  - Pezo, Lato
AU  - Pergal, Marija V.
AU  - Lončar, Biljana
AU  - Filipović, Vladimir
AU  - Knežević, Violeta
AU  - Demir, Hande
AU  - Filipović, Jelena
AU  - Manojlović, Dragan
PY  - 2022
UR  - https://riofh.iofh.bg.ac.rs/handle/123456789/911
AB  - The osmotic dehydration (OD) of celery root in sugar beet molasses was studied at three temperatures (20, 35, and 50 degrees C) and three immersion periods (1, 3, and 5 h) in order to examine the changes in antioxidant potential and phenolic profile of celery root throughout the process. The antioxidant capacity (AOC) of dehydrated samples was evaluated by spectrophotometric and polarographic assays, the total phenolic content by the Folin-Ciocalteu method, and the individual phenolic compounds by HPLC-DAD. As a result of OD in molasses, the AOC and phenols content in samples increased proportionally to the augmentation of temperature and the immersion time. Vanillic acid, syringic acid, and catechin were detected in dehydrated samples as a result of transfer from molasses. Compared to fresh celery root, the content of identified phenols in osmodehydrated samples was improved from 1.5 to 6.2 times. Strong correlations between applied assays were obtained, except for the DPPH. Based on the correlation analysis chlorogenic acid, gallic acid, chrysin, catechin, and kaempferol showed the greatest contribution to the overall AOC of osmodehydrated celery root. Molasses, an agro-industrial waste from sugar production, could be valorized as a valuable osmotic solution.
PB  - MDPI AG
T2  - Foods
T1  - Celery Root Phenols Content, Antioxidant Capacities and Their Correlations after Osmotic Dehydration in Molasses
IS  - 13
VL  - 11
DO  - 10.3390/foods11131945
UR  - conv_1021
ER  - 

@article{
author = "Nićetin, Milica and Pezo, Lato and Pergal, Marija V. and Lončar, Biljana and Filipović, Vladimir and Knežević, Violeta and Demir, Hande and Filipović, Jelena and Manojlović, Dragan",
year = "2022",
abstract = "The osmotic dehydration (OD) of celery root in sugar beet molasses was studied at three temperatures (20, 35, and 50 degrees C) and three immersion periods (1, 3, and 5 h) in order to examine the changes in antioxidant potential and phenolic profile of celery root throughout the process. The antioxidant capacity (AOC) of dehydrated samples was evaluated by spectrophotometric and polarographic assays, the total phenolic content by the Folin-Ciocalteu method, and the individual phenolic compounds by HPLC-DAD. As a result of OD in molasses, the AOC and phenols content in samples increased proportionally to the augmentation of temperature and the immersion time. Vanillic acid, syringic acid, and catechin were detected in dehydrated samples as a result of transfer from molasses. Compared to fresh celery root, the content of identified phenols in osmodehydrated samples was improved from 1.5 to 6.2 times. Strong correlations between applied assays were obtained, except for the DPPH. Based on the correlation analysis chlorogenic acid, gallic acid, chrysin, catechin, and kaempferol showed the greatest contribution to the overall AOC of osmodehydrated celery root. Molasses, an agro-industrial waste from sugar production, could be valorized as a valuable osmotic solution.",
publisher = "MDPI AG",
journal = "Foods",
title = "Celery Root Phenols Content, Antioxidant Capacities and Their Correlations after Osmotic Dehydration in Molasses",
number = "13",
volume = "11",
doi = "10.3390/foods11131945",
url = "conv_1021"
}

Nićetin, M., Pezo, L., Pergal, M. V., Lončar, B., Filipović, V., Knežević, V., Demir, H., Filipović, J.,& Manojlović, D.. (2022). Celery Root Phenols Content, Antioxidant Capacities and Their Correlations after Osmotic Dehydration in Molasses. in Foods
MDPI AG., 11(13).
https://doi.org/10.3390/foods11131945
conv_1021

Nićetin M, Pezo L, Pergal MV, Lončar B, Filipović V, Knežević V, Demir H, Filipović J, Manojlović D. Celery Root Phenols Content, Antioxidant Capacities and Their Correlations after Osmotic Dehydration in Molasses. in Foods. 2022;11(13).
doi:10.3390/foods11131945
conv_1021 .

Nićetin, Milica, Pezo, Lato, Pergal, Marija V., Lončar, Biljana, Filipović, Vladimir, Knežević, Violeta, Demir, Hande, Filipović, Jelena, Manojlović, Dragan, "Celery Root Phenols Content, Antioxidant Capacities and Their Correlations after Osmotic Dehydration in Molasses" in Foods, 11, no. 13 (2022),
https://doi.org/10.3390/foods11131945 .,
conv_1021 .

TY  - JOUR
AU  - Ruskić, Nenad
AU  - Mirović, Valentina
AU  - Marić, Milovan
AU  - Pezo, Lato
AU  - Lončar, Biljana
AU  - Nićetin, Milica
AU  - Ćurčić, Ljiljana
PY  - 2022
UR  - https://riofh.iofh.bg.ac.rs/handle/123456789/962
AB  - The negative external effects caused by traffic growth have been recognized as the main factors that degrade city quality of life. Therefore, research around the world is being conducted to understand the impact of traffic better and find adequate measures to reduce the negative impact of traffic growth. The central part of this research consists of mathematical models for simulating the negative consequences of congestion and noise pollution. Four non-linear models for determining noise levels as a function of traffic flow parameters (intensity and structure) in the urban environment were developed. The non-linear models, including two artificial neural networks and two random forest models, were developed according to the experimental measurements in Novi Sad, Serbia, in 2019. These non-linear models showed high anticipation accuracy of the equivalent continuous sound level (Laeq), with R-2 values of 0.697, 0.703, 0.959 and 0.882, respectively. According to the developed ANN models, global sensitivity analysis was performed, according to which the number of buses at crossings was the most positively signed influential parameter in Laeq evaluation, while the lowest Laeq value was reached during nighttime. The locations occupied by frequent traffic such as Futoska and Temerinska positively influenced the Laeq value.
PB  - MDPI AG
T2  - Sustainability
T1  - Model for Determining Noise Level Depending on Traffic Volume at Intersections
IS  - 19
VL  - 14
DO  - 10.3390/su141912443
UR  - conv_1049
ER  - 

@article{
author = "Ruskić, Nenad and Mirović, Valentina and Marić, Milovan and Pezo, Lato and Lončar, Biljana and Nićetin, Milica and Ćurčić, Ljiljana",
year = "2022",
abstract = "The negative external effects caused by traffic growth have been recognized as the main factors that degrade city quality of life. Therefore, research around the world is being conducted to understand the impact of traffic better and find adequate measures to reduce the negative impact of traffic growth. The central part of this research consists of mathematical models for simulating the negative consequences of congestion and noise pollution. Four non-linear models for determining noise levels as a function of traffic flow parameters (intensity and structure) in the urban environment were developed. The non-linear models, including two artificial neural networks and two random forest models, were developed according to the experimental measurements in Novi Sad, Serbia, in 2019. These non-linear models showed high anticipation accuracy of the equivalent continuous sound level (Laeq), with R-2 values of 0.697, 0.703, 0.959 and 0.882, respectively. According to the developed ANN models, global sensitivity analysis was performed, according to which the number of buses at crossings was the most positively signed influential parameter in Laeq evaluation, while the lowest Laeq value was reached during nighttime. The locations occupied by frequent traffic such as Futoska and Temerinska positively influenced the Laeq value.",
publisher = "MDPI AG",
journal = "Sustainability",
title = "Model for Determining Noise Level Depending on Traffic Volume at Intersections",
number = "19",
volume = "14",
doi = "10.3390/su141912443",
url = "conv_1049"
}

Ruskić, N., Mirović, V., Marić, M., Pezo, L., Lončar, B., Nićetin, M.,& Ćurčić, L.. (2022). Model for Determining Noise Level Depending on Traffic Volume at Intersections. in Sustainability
MDPI AG., 14(19).
https://doi.org/10.3390/su141912443
conv_1049

Ruskić N, Mirović V, Marić M, Pezo L, Lončar B, Nićetin M, Ćurčić L. Model for Determining Noise Level Depending on Traffic Volume at Intersections. in Sustainability. 2022;14(19).
doi:10.3390/su141912443
conv_1049 .

Ruskić, Nenad, Mirović, Valentina, Marić, Milovan, Pezo, Lato, Lončar, Biljana, Nićetin, Milica, Ćurčić, Ljiljana, "Model for Determining Noise Level Depending on Traffic Volume at Intersections" in Sustainability, 14, no. 19 (2022),
https://doi.org/10.3390/su141912443 .,
conv_1049 .

TY  - JOUR
AU  - Vojnov, Bojan
AU  - Jacimović, Goran
AU  - Seremesić, Srdan
AU  - Pezo, Lato
AU  - Lončar, Biljana
AU  - Krstić, Dorde
AU  - Vujić, Svetlana
AU  - Cupina, Branko
PY  - 2022
UR  - https://riofh.iofh.bg.ac.rs/handle/123456789/889
AB  - Maize is the most widespread and, along with wheat, the most important staple crop in the Republic of Serbia, which is of great significance for ensuring national food security. With the increasing demand for food and forage, intensive agricultural practices have been adopted in the maize production systems. In this direction, considerable research efforts have been made to examine the effects of different types of cover crops as a green manure on maize productivity; however, no consistent conclusions have been reached so far. Therefore, the objective of the present study is to examine the possibility of predicting the effects of winter cover crops (CC) integrated with different management practices on the morphological traits, yield, and yield components of maize. The experiment was carried out on chernozem soil from 2016 to 2020 as a randomized complete block design arranged as a split-split-plot with three replicates. The pea as a sole crop (P) and the mixture of pea and triticale (PT) are sown as winter CC with the following subplots: (i) CC used as green manure, and (ii) CC used as forage and removed before maize sowing. The artificial neural network is used for exploring nonlinear functions of the tested parameters and 13 categorical input variables for modeling according to the following factors: CC, way of using CC, N fertilization, and year. The computed maximums of plant height, number of leaves, number of internodes, plant density, number of ears, grain yield, 1000-grain weight, hectolitre weight, dry matter harvest residue, harvest index, leaves percentage, stems percentage, and ears percentage are as follows: 232.3 cm; 9.7; 10.2; 54,340 plants ha(-1); 0.9; 9.8 t ha(-1); 272.4 g; 67.0 kg HL-1; 9.2 t ha(-1); 0.52; 18.9%; 36.0%, and 45.1%, respectively. The optimal result is obtained with peas used as green manure, with 50 kg N ha(-1) and in the climatic conditions of 2018. Consequently, maize production under subsequent sowing periods can be successfully optimized by adapting selected management options for higher yield accomplishment.
PB  - MDPI AG
T2  - Agronomy-Basel
T1  - The Effects of Winter Cover Crops on Maize Yield and Crop Performance in Semiarid Conditions-Artificial Neural Network Approach
IS  - 11
VL  - 12
DO  - 10.3390/agronomy12112670
UR  - conv_1056
ER  - 

@article{
author = "Vojnov, Bojan and Jacimović, Goran and Seremesić, Srdan and Pezo, Lato and Lončar, Biljana and Krstić, Dorde and Vujić, Svetlana and Cupina, Branko",
year = "2022",
abstract = "Maize is the most widespread and, along with wheat, the most important staple crop in the Republic of Serbia, which is of great significance for ensuring national food security. With the increasing demand for food and forage, intensive agricultural practices have been adopted in the maize production systems. In this direction, considerable research efforts have been made to examine the effects of different types of cover crops as a green manure on maize productivity; however, no consistent conclusions have been reached so far. Therefore, the objective of the present study is to examine the possibility of predicting the effects of winter cover crops (CC) integrated with different management practices on the morphological traits, yield, and yield components of maize. The experiment was carried out on chernozem soil from 2016 to 2020 as a randomized complete block design arranged as a split-split-plot with three replicates. The pea as a sole crop (P) and the mixture of pea and triticale (PT) are sown as winter CC with the following subplots: (i) CC used as green manure, and (ii) CC used as forage and removed before maize sowing. The artificial neural network is used for exploring nonlinear functions of the tested parameters and 13 categorical input variables for modeling according to the following factors: CC, way of using CC, N fertilization, and year. The computed maximums of plant height, number of leaves, number of internodes, plant density, number of ears, grain yield, 1000-grain weight, hectolitre weight, dry matter harvest residue, harvest index, leaves percentage, stems percentage, and ears percentage are as follows: 232.3 cm; 9.7; 10.2; 54,340 plants ha(-1); 0.9; 9.8 t ha(-1); 272.4 g; 67.0 kg HL-1; 9.2 t ha(-1); 0.52; 18.9%; 36.0%, and 45.1%, respectively. The optimal result is obtained with peas used as green manure, with 50 kg N ha(-1) and in the climatic conditions of 2018. Consequently, maize production under subsequent sowing periods can be successfully optimized by adapting selected management options for higher yield accomplishment.",
publisher = "MDPI AG",
journal = "Agronomy-Basel",
title = "The Effects of Winter Cover Crops on Maize Yield and Crop Performance in Semiarid Conditions-Artificial Neural Network Approach",
number = "11",
volume = "12",
doi = "10.3390/agronomy12112670",
url = "conv_1056"
}

Vojnov, B., Jacimović, G., Seremesić, S., Pezo, L., Lončar, B., Krstić, D., Vujić, S.,& Cupina, B.. (2022). The Effects of Winter Cover Crops on Maize Yield and Crop Performance in Semiarid Conditions-Artificial Neural Network Approach. in Agronomy-Basel
MDPI AG., 12(11).
https://doi.org/10.3390/agronomy12112670
conv_1056

Vojnov B, Jacimović G, Seremesić S, Pezo L, Lončar B, Krstić D, Vujić S, Cupina B. The Effects of Winter Cover Crops on Maize Yield and Crop Performance in Semiarid Conditions-Artificial Neural Network Approach. in Agronomy-Basel. 2022;12(11).
doi:10.3390/agronomy12112670
conv_1056 .

Vojnov, Bojan, Jacimović, Goran, Seremesić, Srdan, Pezo, Lato, Lončar, Biljana, Krstić, Dorde, Vujić, Svetlana, Cupina, Branko, "The Effects of Winter Cover Crops on Maize Yield and Crop Performance in Semiarid Conditions-Artificial Neural Network Approach" in Agronomy-Basel, 12, no. 11 (2022),
https://doi.org/10.3390/agronomy12112670 .,
conv_1056 .

TY  - JOUR
AU  - Lončar, Biljana
AU  - Pezo, Lato
AU  - Filipović, Vladimir
AU  - Nićetin, Milica
AU  - Filipović, Jelena
AU  - Pezo, Milada
AU  - Šuput, Danijela
AU  - Aćimović, Milica
PY  - 2022
UR  - https://riofh.iofh.bg.ac.rs/handle/123456789/908
AB  - The present study investigated the effect of incorporating 10, 20, and 30% apple powder obtained by freeze-drying, and apple powder produced with osmotic pre-treatment in sugar beet molasses solution, into muffins. The powder was freeze-dried and introduced as a whole spelt wheat flour replacement in muffins. The obtained products were investigated for their chemical composition and technological properties, and were subjected to a sensory analysis as well as a consumer acceptance test. Increasing the substitution level from 0 to 30% apple powder lowered the protein, starch, and fat content, while moisture content, sugar, and cellulose showed the opposite trend. The sensory analysis results indicated that the addition of apple powder or apple powder with osmotic pre-treatment (apple OT+Lyo powder) to the ingredients of muffins positively affected the taste, smell, mastication, and appearance of the final product. Consumers rated the muffins with 30% apple OT+Lyo powder as the most acceptable. Principal component analysis, an artificial neural network, and global sensitivity analysis were utilized to differentiate among muffin samples, and to estimate the corresponding influence of the substitution of spelt flour with apple powder or apple OT powder on the observed quality and nutritional parameters of the muffins.
PB  - MDPI AG
T2  - Foods
T1  - Physico-Chemical, Textural and Sensory Evaluation of Spelt Muffins Supplemented with Apple Powder Enriched with Sugar Beet Molasses
IS  - 12
VL  - 11
DO  - 10.3390/foods11121750
UR  - conv_1018
ER  - 

@article{
author = "Lončar, Biljana and Pezo, Lato and Filipović, Vladimir and Nićetin, Milica and Filipović, Jelena and Pezo, Milada and Šuput, Danijela and Aćimović, Milica",
year = "2022",
abstract = "The present study investigated the effect of incorporating 10, 20, and 30% apple powder obtained by freeze-drying, and apple powder produced with osmotic pre-treatment in sugar beet molasses solution, into muffins. The powder was freeze-dried and introduced as a whole spelt wheat flour replacement in muffins. The obtained products were investigated for their chemical composition and technological properties, and were subjected to a sensory analysis as well as a consumer acceptance test. Increasing the substitution level from 0 to 30% apple powder lowered the protein, starch, and fat content, while moisture content, sugar, and cellulose showed the opposite trend. The sensory analysis results indicated that the addition of apple powder or apple powder with osmotic pre-treatment (apple OT+Lyo powder) to the ingredients of muffins positively affected the taste, smell, mastication, and appearance of the final product. Consumers rated the muffins with 30% apple OT+Lyo powder as the most acceptable. Principal component analysis, an artificial neural network, and global sensitivity analysis were utilized to differentiate among muffin samples, and to estimate the corresponding influence of the substitution of spelt flour with apple powder or apple OT powder on the observed quality and nutritional parameters of the muffins.",
publisher = "MDPI AG",
journal = "Foods",
title = "Physico-Chemical, Textural and Sensory Evaluation of Spelt Muffins Supplemented with Apple Powder Enriched with Sugar Beet Molasses",
number = "12",
volume = "11",
doi = "10.3390/foods11121750",
url = "conv_1018"
}

Lončar, B., Pezo, L., Filipović, V., Nićetin, M., Filipović, J., Pezo, M., Šuput, D.,& Aćimović, M.. (2022). Physico-Chemical, Textural and Sensory Evaluation of Spelt Muffins Supplemented with Apple Powder Enriched with Sugar Beet Molasses. in Foods
MDPI AG., 11(12).
https://doi.org/10.3390/foods11121750
conv_1018

Lončar B, Pezo L, Filipović V, Nićetin M, Filipović J, Pezo M, Šuput D, Aćimović M. Physico-Chemical, Textural and Sensory Evaluation of Spelt Muffins Supplemented with Apple Powder Enriched with Sugar Beet Molasses. in Foods. 2022;11(12).
doi:10.3390/foods11121750
conv_1018 .

Lončar, Biljana, Pezo, Lato, Filipović, Vladimir, Nićetin, Milica, Filipović, Jelena, Pezo, Milada, Šuput, Danijela, Aćimović, Milica, "Physico-Chemical, Textural and Sensory Evaluation of Spelt Muffins Supplemented with Apple Powder Enriched with Sugar Beet Molasses" in Foods, 11, no. 12 (2022),
https://doi.org/10.3390/foods11121750 .,
conv_1018 .

TY  - JOUR
AU  - Ćurčić, Ljiljana
AU  - Lončar, Biljana
AU  - Pezo, Lato
AU  - Stojić, Nataša
AU  - Prokić, Dunja
AU  - Filipović, Vladimir
AU  - Pucarević, Mira
PY  - 2022
UR  - https://riofh.iofh.bg.ac.rs/handle/123456789/888
AB  - Dimethachlor is an herbicide used for oilseed rape protection. Previous studies have demonstrated its high mobility in the soil, which could lead to water contamination. This research aimed to determine the occurrence of dimethachlor and its metabolites (dimethachlor ethanesulfonic acid ESA and dimethachlor oxalamic acid OA) in surface water using a recently developed analytical method. This article is one of the first to document dimethachlor and its metabolites' presence in surface water samples. The samples were collected from the Danube river and Tisza river. The quantitative determination of dimethachlor and its metabolites in the obtained extracts was done by high-performance liquid chromatography. Descriptive statistical methods, including correlation analysis, cluster analysis, and principal component analyses, were utilized to analyze method validation experimental results. In addition, the artificial neural network (ANN) model was applied as an optimization tool. The developed ANN model adequately predicted observed variables, suggesting the optimum results were obtained at a pH value 7, spike value 1, and injection volume equal to 0.5 mu L. The average concentrations in Danube River samples were 1.51 mu g/L for OA 0.01 mu g/L for ESA, and 0.63 mu g/L for DMC, while the average concentrations of chloroacetanilide herbicides detected in Tisza River samples were 1.43 mu g/L for OA, 0.08 mu g/L for ESA and 1.82 mu g/L for DMC.
PB  - MDPI AG
T2  - Water
T1  - Chemometric Approach to Pesticide Residue Analysis in Surface Water
IS  - 24
VL  - 14
DO  - 10.3390/w14244089
UR  - conv_1070
ER  - 

@article{
author = "Ćurčić, Ljiljana and Lončar, Biljana and Pezo, Lato and Stojić, Nataša and Prokić, Dunja and Filipović, Vladimir and Pucarević, Mira",
year = "2022",
abstract = "Dimethachlor is an herbicide used for oilseed rape protection. Previous studies have demonstrated its high mobility in the soil, which could lead to water contamination. This research aimed to determine the occurrence of dimethachlor and its metabolites (dimethachlor ethanesulfonic acid ESA and dimethachlor oxalamic acid OA) in surface water using a recently developed analytical method. This article is one of the first to document dimethachlor and its metabolites' presence in surface water samples. The samples were collected from the Danube river and Tisza river. The quantitative determination of dimethachlor and its metabolites in the obtained extracts was done by high-performance liquid chromatography. Descriptive statistical methods, including correlation analysis, cluster analysis, and principal component analyses, were utilized to analyze method validation experimental results. In addition, the artificial neural network (ANN) model was applied as an optimization tool. The developed ANN model adequately predicted observed variables, suggesting the optimum results were obtained at a pH value 7, spike value 1, and injection volume equal to 0.5 mu L. The average concentrations in Danube River samples were 1.51 mu g/L for OA 0.01 mu g/L for ESA, and 0.63 mu g/L for DMC, while the average concentrations of chloroacetanilide herbicides detected in Tisza River samples were 1.43 mu g/L for OA, 0.08 mu g/L for ESA and 1.82 mu g/L for DMC.",
publisher = "MDPI AG",
journal = "Water",
title = "Chemometric Approach to Pesticide Residue Analysis in Surface Water",
number = "24",
volume = "14",
doi = "10.3390/w14244089",
url = "conv_1070"
}

Ćurčić, L., Lončar, B., Pezo, L., Stojić, N., Prokić, D., Filipović, V.,& Pucarević, M.. (2022). Chemometric Approach to Pesticide Residue Analysis in Surface Water. in Water
MDPI AG., 14(24).
https://doi.org/10.3390/w14244089
conv_1070

Ćurčić L, Lončar B, Pezo L, Stojić N, Prokić D, Filipović V, Pucarević M. Chemometric Approach to Pesticide Residue Analysis in Surface Water. in Water. 2022;14(24).
doi:10.3390/w14244089
conv_1070 .

Ćurčić, Ljiljana, Lončar, Biljana, Pezo, Lato, Stojić, Nataša, Prokić, Dunja, Filipović, Vladimir, Pucarević, Mira, "Chemometric Approach to Pesticide Residue Analysis in Surface Water" in Water, 14, no. 24 (2022),
https://doi.org/10.3390/w14244089 .,
conv_1070 .

TY  - JOUR
AU  - Aćimović, Milica
AU  - Lončar, Biljana
AU  - Jeliazkov, Valtcho D.
AU  - Pezo, Lato
AU  - Ljujić, Jovana
AU  - Miljković, Ana
AU  - Vujisić, Ljubodrag
PY  - 2022
UR  - https://riofh.iofh.bg.ac.rs/handle/123456789/947
AB  - The volatile compounds of essential oil (EO) and corresponding bydrolate (HY) extracted by steam distillation from clary sage (Salvia sclarea L.) cv "Domada mirisna" grown in Seibia were identified using gas chromatography/mass spectrometry (GC/MS). The most abundant compounds of EO were linalyl acetate (43.5%) and linalool (25.9%), followed by a-terpineol, gennacrene D, and geranyl acetate. In the corresponding HY (recovered water-soluble fraction of EO) the dominant were linalool (63.3%) and alpha-terpincol (26.8%), followed by geraniol. These differences in composition between clary sage EO and HY could be explained by linalyl acetate's low water solubility. Clustering of 55 clary sage EO accessions (from literature) shows the presence of several chemotypes: linalyl acetate+linalool, linalyl acetate+sclareol, linalool+gerany 1 acetate, germacrene D+beta-caryophy Ilene, caiyophy Ilene oxide, and three unspecified chemotypes (gerany 1 acetate, methyl chavicol, and alpha-terpineol). According to this classification, clary sage cv "Domada mirisna" belongs to a moderate linalyl acetate chemotype (between 19.8 and 45.7%). Further investigations need to focus on clary sage HY and their potential applications because HYs could increase economic gain as a by-product. However, their utilization for other purposes (cosmetic, postharvest fruit processing, organic agriculture, etc.) could be a safe solution for wastewater produced during EO distillation.
T2  - Journal of Essential Oil Bearing Plants
T1  - Comparison of Volatile Compounds from Clary Sage (Salvia sclarea L. Verticillasters Essential Oil and Hydrolate
EP  - 570
IS  - 3
SP  - 555
VL  - 25
DO  - 10.1080/0972060X.2022.2105662
UR  - conv_1032
ER  - 

@article{
author = "Aćimović, Milica and Lončar, Biljana and Jeliazkov, Valtcho D. and Pezo, Lato and Ljujić, Jovana and Miljković, Ana and Vujisić, Ljubodrag",
year = "2022",
abstract = "The volatile compounds of essential oil (EO) and corresponding bydrolate (HY) extracted by steam distillation from clary sage (Salvia sclarea L.) cv "Domada mirisna" grown in Seibia were identified using gas chromatography/mass spectrometry (GC/MS). The most abundant compounds of EO were linalyl acetate (43.5%) and linalool (25.9%), followed by a-terpineol, gennacrene D, and geranyl acetate. In the corresponding HY (recovered water-soluble fraction of EO) the dominant were linalool (63.3%) and alpha-terpincol (26.8%), followed by geraniol. These differences in composition between clary sage EO and HY could be explained by linalyl acetate's low water solubility. Clustering of 55 clary sage EO accessions (from literature) shows the presence of several chemotypes: linalyl acetate+linalool, linalyl acetate+sclareol, linalool+gerany 1 acetate, germacrene D+beta-caryophy Ilene, caiyophy Ilene oxide, and three unspecified chemotypes (gerany 1 acetate, methyl chavicol, and alpha-terpineol). According to this classification, clary sage cv "Domada mirisna" belongs to a moderate linalyl acetate chemotype (between 19.8 and 45.7%). Further investigations need to focus on clary sage HY and their potential applications because HYs could increase economic gain as a by-product. However, their utilization for other purposes (cosmetic, postharvest fruit processing, organic agriculture, etc.) could be a safe solution for wastewater produced during EO distillation.",
journal = "Journal of Essential Oil Bearing Plants",
title = "Comparison of Volatile Compounds from Clary Sage (Salvia sclarea L. Verticillasters Essential Oil and Hydrolate",
pages = "570-555",
number = "3",
volume = "25",
doi = "10.1080/0972060X.2022.2105662",
url = "conv_1032"
}

Aćimović, M., Lončar, B., Jeliazkov, V. D., Pezo, L., Ljujić, J., Miljković, A.,& Vujisić, L.. (2022). Comparison of Volatile Compounds from Clary Sage (Salvia sclarea L. Verticillasters Essential Oil and Hydrolate. in Journal of Essential Oil Bearing Plants, 25(3), 555-570.
https://doi.org/10.1080/0972060X.2022.2105662
conv_1032

Aćimović M, Lončar B, Jeliazkov VD, Pezo L, Ljujić J, Miljković A, Vujisić L. Comparison of Volatile Compounds from Clary Sage (Salvia sclarea L. Verticillasters Essential Oil and Hydrolate. in Journal of Essential Oil Bearing Plants. 2022;25(3):555-570.
doi:10.1080/0972060X.2022.2105662
conv_1032 .

Aćimović, Milica, Lončar, Biljana, Jeliazkov, Valtcho D., Pezo, Lato, Ljujić, Jovana, Miljković, Ana, Vujisić, Ljubodrag, "Comparison of Volatile Compounds from Clary Sage (Salvia sclarea L. Verticillasters Essential Oil and Hydrolate" in Journal of Essential Oil Bearing Plants, 25, no. 3 (2022):555-570,
https://doi.org/10.1080/0972060X.2022.2105662 .,
conv_1032 .

TY  - JOUR
AU  - Voca, Neven
AU  - Pezo, Lato
AU  - Jukić, Zeljko
AU  - Lončar, Biljana
AU  - Šuput, Danijela
AU  - Kricka, Tajana
PY  - 2022
UR  - https://riofh.iofh.bg.ac.rs/handle/123456789/912
AB  - Rapeseed losses during storage can lead to undesirable difficulties in oil and biodiesel production. In this paper, three artificial neural networks were created to anticipate the main quality parameters of thirteen rapeseed varieties - cultivars and hybrids (Brassica napus L.) - during drying and storage. The varieties, drying temperature, air velocity and drying time were used as inputs to the artificial neural network model to predict the changes in seed weight and moisture during the drying process. The moisture diffusivity and activation energy of the investigated rapeseed varieties were determined under convective drying. For the experiment, an on-site drying system was used at 40, 60 and 80 degrees C drying air temperature. The effective diffusivity ranged from: 7.947.10(-10) to 1.459.10(-8) m(2)/s (first drying period) and 4.716.10(-10) to 8.611.10(-9) m(2)/s (second drying period). The predicted Arrhenius constant and activation energy ranged from 17.169 to 42.546 kJ/mol (first drying period) and from 31.261 to 50.474 kJ/mol (second drying period). Seed oil content, free fatty acids and thousand seed weight were determined after drying at different temperatures and after 12 months of storage under the three different storage conditions. To predict these parameters after storage time, a multilayer perceptron model with three layers (input, hidden and output) for three artificial neural networks (ANNs) was used for modelling using the implemented drying parameters (such as: variety, drying temperature, air velocity and drying time, along with initial oil and free fatty acid content and storage type) were used. The prediction of the developed model was accurate enough for the prediction of the output parameters. The coefficients of determination ranged from 0.965 to 0.998 when predicting the weight and moisture of the rapeseed during the drying process and the oil and free fatty acid content and thousand grain weights after the 12 months storage period.
T2  - Industrial Crops and Products
T1  - Estimation of the storage properties of rapeseeds using an artificial neural network
VL  - 187
DO  - 10.1016/j.indcrop.2022.115358
UR  - conv_1055
ER  - 

@article{
author = "Voca, Neven and Pezo, Lato and Jukić, Zeljko and Lončar, Biljana and Šuput, Danijela and Kricka, Tajana",
year = "2022",
abstract = "Rapeseed losses during storage can lead to undesirable difficulties in oil and biodiesel production. In this paper, three artificial neural networks were created to anticipate the main quality parameters of thirteen rapeseed varieties - cultivars and hybrids (Brassica napus L.) - during drying and storage. The varieties, drying temperature, air velocity and drying time were used as inputs to the artificial neural network model to predict the changes in seed weight and moisture during the drying process. The moisture diffusivity and activation energy of the investigated rapeseed varieties were determined under convective drying. For the experiment, an on-site drying system was used at 40, 60 and 80 degrees C drying air temperature. The effective diffusivity ranged from: 7.947.10(-10) to 1.459.10(-8) m(2)/s (first drying period) and 4.716.10(-10) to 8.611.10(-9) m(2)/s (second drying period). The predicted Arrhenius constant and activation energy ranged from 17.169 to 42.546 kJ/mol (first drying period) and from 31.261 to 50.474 kJ/mol (second drying period). Seed oil content, free fatty acids and thousand seed weight were determined after drying at different temperatures and after 12 months of storage under the three different storage conditions. To predict these parameters after storage time, a multilayer perceptron model with three layers (input, hidden and output) for three artificial neural networks (ANNs) was used for modelling using the implemented drying parameters (such as: variety, drying temperature, air velocity and drying time, along with initial oil and free fatty acid content and storage type) were used. The prediction of the developed model was accurate enough for the prediction of the output parameters. The coefficients of determination ranged from 0.965 to 0.998 when predicting the weight and moisture of the rapeseed during the drying process and the oil and free fatty acid content and thousand grain weights after the 12 months storage period.",
journal = "Industrial Crops and Products",
title = "Estimation of the storage properties of rapeseeds using an artificial neural network",
volume = "187",
doi = "10.1016/j.indcrop.2022.115358",
url = "conv_1055"
}

Voca, N., Pezo, L., Jukić, Z., Lončar, B., Šuput, D.,& Kricka, T.. (2022). Estimation of the storage properties of rapeseeds using an artificial neural network. in Industrial Crops and Products, 187.
https://doi.org/10.1016/j.indcrop.2022.115358
conv_1055

Voca N, Pezo L, Jukić Z, Lončar B, Šuput D, Kricka T. Estimation of the storage properties of rapeseeds using an artificial neural network. in Industrial Crops and Products. 2022;187.
doi:10.1016/j.indcrop.2022.115358
conv_1055 .

Voca, Neven, Pezo, Lato, Jukić, Zeljko, Lončar, Biljana, Šuput, Danijela, Kricka, Tajana, "Estimation of the storage properties of rapeseeds using an artificial neural network" in Industrial Crops and Products, 187 (2022),
https://doi.org/10.1016/j.indcrop.2022.115358 .,
conv_1055 .

TY  - JOUR
AU  - Lončar, Biljana
AU  - Aćimović, Milica
AU  - Pezo, Lato
AU  - Sikora, V
AU  - Zeremski, Tijana
AU  - Knežević, Violeta
AU  - Cvetković, Biljana
PY  - 2022
UR  - https://riofh.iofh.bg.ac.rs/handle/123456789/885
AB  - Two major cannabinoids are present in Cannabis plants. The first one is a psychoactive cannabinoid substance (-)-trans-Δ9-tetrahydrocannabinol, wellknown as THC, based on which medicinal cannabis is categorized as a prohibited narcotic. The other one is cannabidiol (CBD), presented specifically in hemp. CBD is familiar as a pharmacologically active substance, and its application is becoming increasingly important in medicine. Many studies testify to osmotic treatment’s success in removing water from different plant and other materials. Sugar beet molasses has proven to be an efficient osmotic solution in water removal, nutritional enrichment, food safety and quality aspects. The use of a mild temperature regime to preserve plant tissue and nutritional values is one of this process’s advantages. This work is concerned with determining the effect of the drying temperature on CBD and THC content after the osmotic treatment (OT) compared to the natural drying at ambient temperature. Osmotic treatment of three different industrial hemp types (DZ1, DZ2 and DZ3) was performed in sugar beet molasses solution (80%), under atmospheric pressure, for 1.5 hours, at 20, 35 and 500C with the sample to solution ratio 1: 20. The principal component analysis (PCA) has been used operatively for better visualization and the samples’ differentiation. The optimization of OT was performed using artificial neural networks (ANN). The optimization of the output variables was based on the ANN model. The reduction in CBD and THC content is to a greater extent during osmotic treatment than in natural drying, mainly decreased with increasing solution temperature. However, the positive aspect is a more significant reduction in psychoactive substance in comparison to natural drying. The temperature of 35 0 C and sample DZ2 gave optimal experimental results of 4.266 ± 0.168 and 0.138 ± 0.006 μg/g for CBD and THC, respectfully. It can be concluded that OT of all hemp samples resulted in a decrease of both CBD and THC content, although the positive aspect is a more significant reduction in psychoactive substance than after natural drying.
PB  - Consulting and Training Center - KEY
T2  - Journal of Hygienic Engineering and Design
T1  - The effect of osmotic treatment on cannabidiol (cbd) and tetrahydrocannabinol (thc) content in industrial hemp
EP  - 229
SP  - 225
VL  - 38
UR  - conv_1136
ER  - 

@article{
author = "Lončar, Biljana and Aćimović, Milica and Pezo, Lato and Sikora, V and Zeremski, Tijana and Knežević, Violeta and Cvetković, Biljana",
year = "2022",
abstract = "Two major cannabinoids are present in Cannabis plants. The first one is a psychoactive cannabinoid substance (-)-trans-Δ9-tetrahydrocannabinol, wellknown as THC, based on which medicinal cannabis is categorized as a prohibited narcotic. The other one is cannabidiol (CBD), presented specifically in hemp. CBD is familiar as a pharmacologically active substance, and its application is becoming increasingly important in medicine. Many studies testify to osmotic treatment’s success in removing water from different plant and other materials. Sugar beet molasses has proven to be an efficient osmotic solution in water removal, nutritional enrichment, food safety and quality aspects. The use of a mild temperature regime to preserve plant tissue and nutritional values is one of this process’s advantages. This work is concerned with determining the effect of the drying temperature on CBD and THC content after the osmotic treatment (OT) compared to the natural drying at ambient temperature. Osmotic treatment of three different industrial hemp types (DZ1, DZ2 and DZ3) was performed in sugar beet molasses solution (80%), under atmospheric pressure, for 1.5 hours, at 20, 35 and 500C with the sample to solution ratio 1: 20. The principal component analysis (PCA) has been used operatively for better visualization and the samples’ differentiation. The optimization of OT was performed using artificial neural networks (ANN). The optimization of the output variables was based on the ANN model. The reduction in CBD and THC content is to a greater extent during osmotic treatment than in natural drying, mainly decreased with increasing solution temperature. However, the positive aspect is a more significant reduction in psychoactive substance in comparison to natural drying. The temperature of 35 0 C and sample DZ2 gave optimal experimental results of 4.266 ± 0.168 and 0.138 ± 0.006 μg/g for CBD and THC, respectfully. It can be concluded that OT of all hemp samples resulted in a decrease of both CBD and THC content, although the positive aspect is a more significant reduction in psychoactive substance than after natural drying.",
publisher = "Consulting and Training Center - KEY",
journal = "Journal of Hygienic Engineering and Design",
title = "The effect of osmotic treatment on cannabidiol (cbd) and tetrahydrocannabinol (thc) content in industrial hemp",
pages = "229-225",
volume = "38",
url = "conv_1136"
}

Lončar, B., Aćimović, M., Pezo, L., Sikora, V., Zeremski, T., Knežević, V.,& Cvetković, B.. (2022). The effect of osmotic treatment on cannabidiol (cbd) and tetrahydrocannabinol (thc) content in industrial hemp. in Journal of Hygienic Engineering and Design
Consulting and Training Center - KEY., 38, 225-229.
conv_1136

Lončar B, Aćimović M, Pezo L, Sikora V, Zeremski T, Knežević V, Cvetković B. The effect of osmotic treatment on cannabidiol (cbd) and tetrahydrocannabinol (thc) content in industrial hemp. in Journal of Hygienic Engineering and Design. 2022;38:225-229.
conv_1136 .

Lončar, Biljana, Aćimović, Milica, Pezo, Lato, Sikora, V, Zeremski, Tijana, Knežević, Violeta, Cvetković, Biljana, "The effect of osmotic treatment on cannabidiol (cbd) and tetrahydrocannabinol (thc) content in industrial hemp" in Journal of Hygienic Engineering and Design, 38 (2022):225-229,
conv_1136 .