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 . .