Torbica, Aleksandra

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  • Torbica, Aleksandra (2)
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Author's Bibliography

New Biological and Chemical Insights into Optimization of Chamomile Extracts by Using Artificial Neural Network (ANN) Model

Cvetanović Kljakić, Aleksandra; Radosavljević, Miloš; Zengin, Gokhan; Yan, Linlin; Gašić, Uroš; Kojić, Predrag; Torbica, Aleksandra; Belović, Miona; Zeković, Zoran

(Basel: MDPI, 2023)

TY  - JOUR
AU  - Cvetanović Kljakić, Aleksandra
AU  - Radosavljević, Miloš
AU  - Zengin, Gokhan
AU  - Yan, Linlin
AU  - Gašić, Uroš
AU  - Kojić, Predrag
AU  - Torbica, Aleksandra
AU  - Belović, Miona
AU  - Zeković, Zoran
PY  - 2023
UR  - http://radar.ibiss.bg.ac.rs/handle/123456789/5667
AB  - Chamomile is one of the most consumed medicinal plants worldwide. Various chamomile preparations are widely used in various branches of both traditional and modern pharmacy. However, in order to obtain an extract with a high content of the desired components, it is necessary to optimize key extraction parameters. In the present study, optimization of process parameters was performed using the artificial neural networks (ANN) model using a solid-to-solvent ratio, microwave power and time as inputs, while the outputs were the yield of the total phenolic compounds (TPC). Optimized extraction conditions were as follows: a solid-to-solvent ratio of 1:80, microwave power of 400 W, extraction time of 30 min. ANN predicted the content of the total phenolic compounds, which was later experimentally confirmed. The extract obtained under optimal conditions was characterized by rich composition and high biological activity. Additionally, chamomile extract showed promising properties as growth media for probiotics. The study could make a valuable scientific contribution to the application of modern statistical designs and modelling to improve extraction techniques
PB  - Basel: MDPI
T2  - Plants
T1  - New Biological and Chemical Insights into Optimization of Chamomile Extracts by Using Artificial Neural Network (ANN) Model
IS  - 6
VL  - 12
DO  - 10.3390/plants12061211
SP  - 1211
ER  - 
@article{
author = "Cvetanović Kljakić, Aleksandra and Radosavljević, Miloš and Zengin, Gokhan and Yan, Linlin and Gašić, Uroš and Kojić, Predrag and Torbica, Aleksandra and Belović, Miona and Zeković, Zoran",
year = "2023",
abstract = "Chamomile is one of the most consumed medicinal plants worldwide. Various chamomile preparations are widely used in various branches of both traditional and modern pharmacy. However, in order to obtain an extract with a high content of the desired components, it is necessary to optimize key extraction parameters. In the present study, optimization of process parameters was performed using the artificial neural networks (ANN) model using a solid-to-solvent ratio, microwave power and time as inputs, while the outputs were the yield of the total phenolic compounds (TPC). Optimized extraction conditions were as follows: a solid-to-solvent ratio of 1:80, microwave power of 400 W, extraction time of 30 min. ANN predicted the content of the total phenolic compounds, which was later experimentally confirmed. The extract obtained under optimal conditions was characterized by rich composition and high biological activity. Additionally, chamomile extract showed promising properties as growth media for probiotics. The study could make a valuable scientific contribution to the application of modern statistical designs and modelling to improve extraction techniques",
publisher = "Basel: MDPI",
journal = "Plants",
title = "New Biological and Chemical Insights into Optimization of Chamomile Extracts by Using Artificial Neural Network (ANN) Model",
number = "6",
volume = "12",
doi = "10.3390/plants12061211",
pages = "1211"
}
Cvetanović Kljakić, A., Radosavljević, M., Zengin, G., Yan, L., Gašić, U., Kojić, P., Torbica, A., Belović, M.,& Zeković, Z.. (2023). New Biological and Chemical Insights into Optimization of Chamomile Extracts by Using Artificial Neural Network (ANN) Model. in Plants
Basel: MDPI., 12(6), 1211.
https://doi.org/10.3390/plants12061211
Cvetanović Kljakić A, Radosavljević M, Zengin G, Yan L, Gašić U, Kojić P, Torbica A, Belović M, Zeković Z. New Biological and Chemical Insights into Optimization of Chamomile Extracts by Using Artificial Neural Network (ANN) Model. in Plants. 2023;12(6):1211.
doi:10.3390/plants12061211 .
Cvetanović Kljakić, Aleksandra, Radosavljević, Miloš, Zengin, Gokhan, Yan, Linlin, Gašić, Uroš, Kojić, Predrag, Torbica, Aleksandra, Belović, Miona, Zeković, Zoran, "New Biological and Chemical Insights into Optimization of Chamomile Extracts by Using Artificial Neural Network (ANN) Model" in Plants, 12, no. 6 (2023):1211,
https://doi.org/10.3390/plants12061211 . .
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Expression of protein synthesis elongation factors in winter wheat and oat in response to heat stress.

Đukić, Nevena; Knežević, Desimir; Pantelić, Danijel; Živančev, Dragan; Torbica, Aleksandra; Marković, Stefan

(2019)

TY  - JOUR
AU  - Đukić, Nevena
AU  - Knežević, Desimir
AU  - Pantelić, Danijel
AU  - Živančev, Dragan
AU  - Torbica, Aleksandra
AU  - Marković, Stefan
PY  - 2019
UR  - https://www.sciencedirect.com/science/article/pii/S017616171930118X?via%3Dihub
UR  - https://radar.ibiss.bg.ac.rs/handle/123456789/3446
AB  - The aim of our work was to examine the expression and accumulation of EF-Tu and eEF1A in grain filing stage of five genotypes of winter wheat and one oat genotype in conditions of heat stress. In addition, the correlation between accumulation of elongation factors eEF1A and EF-Tu, and yield components of cereals in the field was investigated. Flag leaf protein samples were analyzed by immunoblotting. Flag leaves were collected under conditions of moderate (23 °C; MT) and high air temperature (38 °C; HT) in a field experiment. After the harvest, grain yield was determined. The yield components, the weight of dry seed and grains number per spike, were assessed in the stage of full physiological maturity of investigated cultivars. Obtained results revealed a difference in the level of EF-Tu accumulation both under conditions of moderate air temperatures and conditions of heat stress among investigated cultivars. Cultivar Zvezdana was the only one that showed increase in EF-Tu accumulation under HT (25%) compared to MT. Immunoblot analysis indicated that the highest increase of eEF1A accumulation (43%) in relation to moderate temperature was detected in cultivar Talas. A significant, positive, linear correlation was found between the expression of eEF1A and small grains productivity under heat-stress conditions.
T2  - Journal of Plant Physiology
T1  - Expression of protein synthesis elongation factors in winter wheat and oat in response to heat stress.
VL  - 240
DO  - 10.1016/j.jplph.2019.153015
SP  - 153015
ER  - 
@article{
author = "Đukić, Nevena and Knežević, Desimir and Pantelić, Danijel and Živančev, Dragan and Torbica, Aleksandra and Marković, Stefan",
year = "2019",
abstract = "The aim of our work was to examine the expression and accumulation of EF-Tu and eEF1A in grain filing stage of five genotypes of winter wheat and one oat genotype in conditions of heat stress. In addition, the correlation between accumulation of elongation factors eEF1A and EF-Tu, and yield components of cereals in the field was investigated. Flag leaf protein samples were analyzed by immunoblotting. Flag leaves were collected under conditions of moderate (23 °C; MT) and high air temperature (38 °C; HT) in a field experiment. After the harvest, grain yield was determined. The yield components, the weight of dry seed and grains number per spike, were assessed in the stage of full physiological maturity of investigated cultivars. Obtained results revealed a difference in the level of EF-Tu accumulation both under conditions of moderate air temperatures and conditions of heat stress among investigated cultivars. Cultivar Zvezdana was the only one that showed increase in EF-Tu accumulation under HT (25%) compared to MT. Immunoblot analysis indicated that the highest increase of eEF1A accumulation (43%) in relation to moderate temperature was detected in cultivar Talas. A significant, positive, linear correlation was found between the expression of eEF1A and small grains productivity under heat-stress conditions.",
journal = "Journal of Plant Physiology",
title = "Expression of protein synthesis elongation factors in winter wheat and oat in response to heat stress.",
volume = "240",
doi = "10.1016/j.jplph.2019.153015",
pages = "153015"
}
Đukić, N., Knežević, D., Pantelić, D., Živančev, D., Torbica, A.,& Marković, S.. (2019). Expression of protein synthesis elongation factors in winter wheat and oat in response to heat stress.. in Journal of Plant Physiology, 240, 153015.
https://doi.org/10.1016/j.jplph.2019.153015
Đukić N, Knežević D, Pantelić D, Živančev D, Torbica A, Marković S. Expression of protein synthesis elongation factors in winter wheat and oat in response to heat stress.. in Journal of Plant Physiology. 2019;240:153015.
doi:10.1016/j.jplph.2019.153015 .
Đukić, Nevena, Knežević, Desimir, Pantelić, Danijel, Živančev, Dragan, Torbica, Aleksandra, Marković, Stefan, "Expression of protein synthesis elongation factors in winter wheat and oat in response to heat stress." in Journal of Plant Physiology, 240 (2019):153015,
https://doi.org/10.1016/j.jplph.2019.153015 . .
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