2020
DOI: 10.1016/j.indcrop.2020.112752
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QSRR Model for predicting retention indices of Satureja kitaibelii Wierzb. ex Heuff. essential oil composition

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Cited by 30 publications
(20 citation statements)
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“…More details regarding the descriptors could be studied in the Handbook of Molecular Descriptors [30]. The observed data were randomly separated to 70%, 15%, and 15% of data used for training, testing, and validations, respectively [31,32]. ANN calculations were executed with Statistica10.…”
Section: Artificial Neural Network (Ann)mentioning
confidence: 99%
“…More details regarding the descriptors could be studied in the Handbook of Molecular Descriptors [30]. The observed data were randomly separated to 70%, 15%, and 15% of data used for training, testing, and validations, respectively [31,32]. ANN calculations were executed with Statistica10.…”
Section: Artificial Neural Network (Ann)mentioning
confidence: 99%
“…In order to calculate the molecular descriptors, the PaDel-descriptor was used in this investigation. Due to a great amount of data that was obtained, it was required to select the most important set of descriptors to build the adequate model which would be able to predict the RIs [ 55 ]. The factor analysis was done before the GA calculation, and only ca.…”
Section: Resultsmentioning
confidence: 99%
“…Statistical models that quantify the relation between the structure of molecules and their chromatographic RIs were represented by the quantitative structure retention relationship (QSRR) model [ 58 , 64 ]. Numerous publications related to the QSRR analysis in plants from Lamiaceae family could be found in the literature: Thymus vulgaris [ 65 ], T. serpyllum [ 66 ], Satureja kitaibelii [ 55 ], Salvia officinalis [ 67 ], as well as Stachys sp. [ 68 ].…”
Section: Discussionmentioning
confidence: 99%
“…Gas chromatography–mass spectrometry (GC-MS) was performed using an HP 5890 coupled with an HP 5973 MSD fitted with an HP-5MS capillary column (conditions in detail described by Aćimović et al [ 101 ]). The components were identified based on their linear retention index relative to C8–C32 n-alkanes, in comparison with data reported in the literature (Wiley and NIST databases).…”
Section: Methodsmentioning
confidence: 99%