TY  - JOUR
AU  - Aćimović, Milica
AU  - Pezo, Lato
AU  - Stankovic-Jeremić, Jovana
AU  - Cvetković, Mirjana
AU  - Rat, Milica
AU  - Čabarkapa, Ivana
AU  - Tešević, Vele
PY  - 2020
UR  - http://fiver.ifvcns.rs/handle/123456789/2069
AB  - A total of 26 experimentally obtained retention indices on a logarithmic scale (log RI) fromThymus serpyllumessential oil were used to build a robust predictive model. The selected descriptors were used as inputs of an artificial neural network model to build a predictive quantitative structure-retention time relationship model. The coefficient of determination for the training cycle was 0.977, indicating that this model could be used for the prediction of retention indices forT. serpyllumessential oil compounds. These 26 compounds comprise about 99.8 % of the total oil, but among them only 6 compounds had the average relative concentration over 1 percent: geraniol (63.4 %), nerol (orcis-geraniol) (18.9 %), geranyl acetate (4.7 %),trans-caryophyllene (4.6 %), beta-bisabolene (2.0 %) and geranial (1.2 %). According to these results, it can be concluded thatT. serpyllumfrom village Sesalac (Serbia) belongs to geraniol chemotype, in total 82.3 % in both,transandcisforms (63.4 % and 18.9 %, respectively).
PB  - Taylor & Francis Ltd, Abingdon
T2  - Journal of Essential Oil Bearing Plants
T1  - QSRR Model for Predicting Retention Indices of Geraniol Chemotype of Thymus serpyllum Essential Oil
EP  - 473
IS  - 3
SP  - 464
VL  - 23
DO  - 10.1080/0972060X.2020.1790428
ER  - 

@article{
author = "Aćimović, Milica and Pezo, Lato and Stankovic-Jeremić, Jovana and Cvetković, Mirjana and Rat, Milica and Čabarkapa, Ivana and Tešević, Vele",
year = "2020",
abstract = "A total of 26 experimentally obtained retention indices on a logarithmic scale (log RI) fromThymus serpyllumessential oil were used to build a robust predictive model. The selected descriptors were used as inputs of an artificial neural network model to build a predictive quantitative structure-retention time relationship model. The coefficient of determination for the training cycle was 0.977, indicating that this model could be used for the prediction of retention indices forT. serpyllumessential oil compounds. These 26 compounds comprise about 99.8 % of the total oil, but among them only 6 compounds had the average relative concentration over 1 percent: geraniol (63.4 %), nerol (orcis-geraniol) (18.9 %), geranyl acetate (4.7 %),trans-caryophyllene (4.6 %), beta-bisabolene (2.0 %) and geranial (1.2 %). According to these results, it can be concluded thatT. serpyllumfrom village Sesalac (Serbia) belongs to geraniol chemotype, in total 82.3 % in both,transandcisforms (63.4 % and 18.9 %, respectively).",
publisher = "Taylor & Francis Ltd, Abingdon",
journal = "Journal of Essential Oil Bearing Plants",
title = "QSRR Model for Predicting Retention Indices of Geraniol Chemotype of Thymus serpyllum Essential Oil",
pages = "473-464",
number = "3",
volume = "23",
doi = "10.1080/0972060X.2020.1790428"
}

Aćimović, M., Pezo, L., Stankovic-Jeremić, J., Cvetković, M., Rat, M., Čabarkapa, I.,& Tešević, V.. (2020). QSRR Model for Predicting Retention Indices of Geraniol Chemotype of Thymus serpyllum Essential Oil. in Journal of Essential Oil Bearing Plants
Taylor & Francis Ltd, Abingdon., 23(3), 464-473.
https://doi.org/10.1080/0972060X.2020.1790428

Aćimović M, Pezo L, Stankovic-Jeremić J, Cvetković M, Rat M, Čabarkapa I, Tešević V. QSRR Model for Predicting Retention Indices of Geraniol Chemotype of Thymus serpyllum Essential Oil. in Journal of Essential Oil Bearing Plants. 2020;23(3):464-473.
doi:10.1080/0972060X.2020.1790428 .

Aćimović, Milica, Pezo, Lato, Stankovic-Jeremić, Jovana, Cvetković, Mirjana, Rat, Milica, Čabarkapa, Ivana, Tešević, Vele, "QSRR Model for Predicting Retention Indices of Geraniol Chemotype of Thymus serpyllum Essential Oil" in Journal of Essential Oil Bearing Plants, 23, no. 3 (2020):464-473,
https://doi.org/10.1080/0972060X.2020.1790428 . .