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  - http://fiver.ifvcns.rs/handle/123456789/2195
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  - Basel : MDPI
T2  - Processes
T1  - Weather Conditions Influence on Hyssop Essential Oil Quality
IS  - 7
SP  - 1152
VL  - 9
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 = "Basel : MDPI",
journal = "Processes",
title = "Weather Conditions Influence on Hyssop Essential Oil Quality",
number = "7",
pages = "1152",
volume = "9",
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
Basel : 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 .

Aćimović, Milica, Pezo, Lato, Zeremski, Tijana, Lončar, Biljana, Marjanović-Jeromela, Ana, Stanković Jeremić, Jovana, Cvetković, Mirjana, Sikora, Vladimir, Ignjatov, Maja, "Weather Conditions Influence on Hyssop Essential Oil Quality" in Processes, 9, no. 7 (2021):1152,
https://doi.org/10.3390/pr9071152 . .

TY  - JOUR
AU  - Aćimović, Milica
AU  - Pezo, Lato
AU  - Cvetković, Mirjana
AU  - Stanković Jeremić, Jovana
AU  - Čabarkapa, Ivana
PY  - 2021
UR  - http://fiver.ifvcns.rs/handle/123456789/2202
AB  - The aim of this study was the prediction model of retention indices of compounds from the aboveground parts of Achillea clypeolata Sibth. & Sm. essential oil, obtained by hydrodistillation and analysed by GC–MS. The quantitative structure–retention relationship analysis was applied in order to anticipate the retention time of the obtained compounds. The selection of the seven molecular descriptors was done by a genetic algorithm. The chosen descriptors were uncorrelated and were used to construct an artificial neural network. A total of 40 experimentally obtained retention indices was used to build this prediction model. The coefficient of determination for the training, testing and validation cycles were: 0.950, 0.825 and 1.000, respectively, indicating that this model could be used for prediction of retention indices for A. clypeolata, essential oil compounds.
AB  - Cilj ove studije bio je izrada modela za predviđanja retencionog vremena hemijskih jedinjenja iz esencijalnog ulja nadzemnih delova biljke Achillea clypeolata Sibth. & Sm., dobijenog hidrodistilacijom i analiziranog GC–MS tehnikom. Kvantitativna analiza hemijske strukture i predviđanja retencionog vremena (quantitative structure – retention relationship – QSRR) je primenjena da bi se predvidelo vreme zadržavanja hemijskih jedinjenja dobijenih korišćenjem GC–MS analize. Izbor sedam molekulskih deskriptora izvršen je korišćenjem faktorske analize i genetskog algoritma. Primećeno je da izabrani deskriptori nisu bili u međusobnoj korelaciji, pa su korišćeni kao ulazni podaci pri izgradnji veštačke neuronske mreže. U izgradnji modela predviđanja retencionih vremena korišćeno je ukupno 40 eksperimentalno dobijenih retencionih vremena. Koeficijent determinacije tokom ciklusa pripreme, testiranja i validacije dostigao je vrednosti 0,950; 0,825 i 1,000, redom, što ukazuje na to da se ovaj model može koristiti za predviđanje retencionih vremena hemijskih jedinjenja dobijenih iz esencijalnog ulja A. clypeolata.
PB  - Belgrade : Serbian Chemical Society
T2  - Journal of the Serbian Chemical Society
T1  - Achillea clypeolata Sibth. & Sm. essential oil composition and QSRR model for predicting retention indices
T1  - Hemijski sastav etarskog ulja Achillea clypeolata Sibth. & Sm. i QSRR model za predviđanje retencionog vremena
EP  - 366
IS  - 4
SP  - 355
VL  - 84
DO  - 10.2298/JSC200524008A
ER  - 

@article{
author = "Aćimović, Milica and Pezo, Lato and Cvetković, Mirjana and Stanković Jeremić, Jovana and Čabarkapa, Ivana",
year = "2021",
abstract = "The aim of this study was the prediction model of retention indices of compounds from the aboveground parts of Achillea clypeolata Sibth. & Sm. essential oil, obtained by hydrodistillation and analysed by GC–MS. The quantitative structure–retention relationship analysis was applied in order to anticipate the retention time of the obtained compounds. The selection of the seven molecular descriptors was done by a genetic algorithm. The chosen descriptors were uncorrelated and were used to construct an artificial neural network. A total of 40 experimentally obtained retention indices was used to build this prediction model. The coefficient of determination for the training, testing and validation cycles were: 0.950, 0.825 and 1.000, respectively, indicating that this model could be used for prediction of retention indices for A. clypeolata, essential oil compounds., Cilj ove studije bio je izrada modela za predviđanja retencionog vremena hemijskih jedinjenja iz esencijalnog ulja nadzemnih delova biljke Achillea clypeolata Sibth. & Sm., dobijenog hidrodistilacijom i analiziranog GC–MS tehnikom. Kvantitativna analiza hemijske strukture i predviđanja retencionog vremena (quantitative structure – retention relationship – QSRR) je primenjena da bi se predvidelo vreme zadržavanja hemijskih jedinjenja dobijenih korišćenjem GC–MS analize. Izbor sedam molekulskih deskriptora izvršen je korišćenjem faktorske analize i genetskog algoritma. Primećeno je da izabrani deskriptori nisu bili u međusobnoj korelaciji, pa su korišćeni kao ulazni podaci pri izgradnji veštačke neuronske mreže. U izgradnji modela predviđanja retencionih vremena korišćeno je ukupno 40 eksperimentalno dobijenih retencionih vremena. Koeficijent determinacije tokom ciklusa pripreme, testiranja i validacije dostigao je vrednosti 0,950; 0,825 i 1,000, redom, što ukazuje na to da se ovaj model može koristiti za predviđanje retencionih vremena hemijskih jedinjenja dobijenih iz esencijalnog ulja A. clypeolata.",
publisher = "Belgrade : Serbian Chemical Society",
journal = "Journal of the Serbian Chemical Society",
title = "Achillea clypeolata Sibth. & Sm. essential oil composition and QSRR model for predicting retention indices, Hemijski sastav etarskog ulja Achillea clypeolata Sibth. & Sm. i QSRR model za predviđanje retencionog vremena",
pages = "366-355",
number = "4",
volume = "84",
doi = "10.2298/JSC200524008A"
}

Aćimović, M., Pezo, L., Cvetković, M., Stanković Jeremić, J.,& Čabarkapa, I.. (2021). Achillea clypeolata Sibth. & Sm. essential oil composition and QSRR model for predicting retention indices. in Journal of the Serbian Chemical Society
Belgrade : Serbian Chemical Society., 84(4), 355-366.
https://doi.org/10.2298/JSC200524008A

Aćimović M, Pezo L, Cvetković M, Stanković Jeremić J, Čabarkapa I. Achillea clypeolata Sibth. & Sm. essential oil composition and QSRR model for predicting retention indices. in Journal of the Serbian Chemical Society. 2021;84(4):355-366.
doi:10.2298/JSC200524008A .

Aćimović, Milica, Pezo, Lato, Cvetković, Mirjana, Stanković Jeremić, Jovana, Čabarkapa, Ivana, "Achillea clypeolata Sibth. & Sm. essential oil composition and QSRR model for predicting retention indices" in Journal of the Serbian Chemical Society, 84, no. 4 (2021):355-366,
https://doi.org/10.2298/JSC200524008A . .