This paper is a study of the chemical composition of Hyssopus officinalis ssp. Officinalis grown during three years (2017-2019) at the Institute of Field and Vegetable Crops Novi Sad (Vojvodina Province, Serbia). Furthermore, comparisons with ISO standards during the years were also investigated, as well as a prediction model of retention indices of compounds from the essential oils. An essential oil obtained by hydrodistillation and analysed by GC-FID and GC-MS was isopinocamphone chemotype. The gathered information about the volatile compounds from H. officinalis was used to classify the samples using the unrooted cluster tree. The correlation analysis was applied to investigate the similarity of different samples, according to GC-MS data. The quantitative structure- retention relationship (QSRR) was also employed to predict the retention indices of the identified compounds. A total of 74 experimentally obtained retention indices were used to build a prediction model. The coefficient... of determination for the training cycle was 0.910, indicating that this model could be used for the prediction of retention indices for H. officinalis essential oil compounds.
TY - JOUR
AU - Aćimović, Milica
AU - Pezo, Lato
AU - Zeremski, Tijana
AU - Lončar, Biljana
AU - Marjanović Jeromela, Ana
AU - Stanković Jeremić, Jovana
AU - Cvetković, Mirjana
AU - Sikora, Vladimir
AU - Ignjatov, Maja
PY - 2021
UR - https://cer.ihtm.bg.ac.rs/handle/123456789/4829
AB - This paper is a study of the chemical composition of Hyssopus officinalis ssp. Officinalis grown during three years (2017-2019) at the Institute of Field and Vegetable Crops Novi Sad (Vojvodina Province, Serbia). Furthermore, comparisons with ISO standards during the years were also investigated, as well as a prediction model of retention indices of compounds from the essential oils. An essential oil obtained by hydrodistillation and analysed by GC-FID and GC-MS was isopinocamphone chemotype. The gathered information about the volatile compounds from H. officinalis was used to classify the samples using the unrooted cluster tree. The correlation analysis was applied to investigate the similarity of different samples, according to GC-MS data. The quantitative structure- retention relationship (QSRR) was also employed to predict the retention indices of the identified compounds. A total of 74 experimentally obtained retention indices were used to build a prediction model. The coefficient of determination for the training cycle was 0.910, indicating that this model could be used for the prediction of retention indices for H. officinalis essential oil compounds.
PB - MDPI
T2 - Processes
T1 - Weather conditions influence on hyssop essential oil quality
VL - 9
IS - 7
SP - 1152
DO - 10.3390/pr9071152
ER -
@article{
author = "Aćimović, Milica and Pezo, Lato and Zeremski, Tijana and Lončar, Biljana and Marjanović Jeromela, Ana and Stanković Jeremić, Jovana and Cvetković, Mirjana and Sikora, Vladimir and Ignjatov, Maja",
year = "2021",
abstract = "This paper is a study of the chemical composition of Hyssopus officinalis ssp. Officinalis grown during three years (2017-2019) at the Institute of Field and Vegetable Crops Novi Sad (Vojvodina Province, Serbia). Furthermore, comparisons with ISO standards during the years were also investigated, as well as a prediction model of retention indices of compounds from the essential oils. An essential oil obtained by hydrodistillation and analysed by GC-FID and GC-MS was isopinocamphone chemotype. The gathered information about the volatile compounds from H. officinalis was used to classify the samples using the unrooted cluster tree. The correlation analysis was applied to investigate the similarity of different samples, according to GC-MS data. The quantitative structure- retention relationship (QSRR) was also employed to predict the retention indices of the identified compounds. A total of 74 experimentally obtained retention indices were used to build a prediction model. The coefficient of determination for the training cycle was 0.910, indicating that this model could be used for the prediction of retention indices for H. officinalis essential oil compounds.",
publisher = "MDPI",
journal = "Processes",
title = "Weather conditions influence on hyssop essential oil quality",
volume = "9",
number = "7",
pages = "1152",
doi = "10.3390/pr9071152"
}
Aćimović, M., Pezo, L., Zeremski, T., Lončar, B., Marjanović Jeromela, A., Stanković Jeremić, J., Cvetković, M., Sikora, V.,& Ignjatov, M.. (2021). Weather conditions influence on hyssop essential oil quality. in Processes
MDPI., 9(7), 1152.
https://doi.org/10.3390/pr9071152
Aćimović M, Pezo L, Zeremski T, Lončar B, Marjanović Jeromela A, Stanković Jeremić J, Cvetković M, Sikora V, Ignjatov M. Weather conditions influence on hyssop essential oil quality. in Processes. 2021;9(7):1152.
doi:10.3390/pr9071152 .
