Achillea clypeolata Sibth. & Sm. essential oil composition and QSRR model for predicting retention indices
نویسندگان
چکیده
The aim of this study was the prediction model retention indices compounds from aboveground parts Achillea clypeolata Sibth. & Sm. essential oil, obtained by hydrodistillation and analysed GC?MS. quantitative structure?retention relationship analysis applied in order to anticipate time compounds. selection seven molecular descriptors done a genetic algorithm. chosen were uncorrelated used construct an artificial neural network. A total 40 experimentally build model. coefficient determination for training, testing validation cycles were: 0.950, 0.825 1.000, respectively, indicating that could be A. clypeolata, oil
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ژورنال
عنوان ژورنال: Journal of The Serbian Chemical Society
سال: 2021
ISSN: ['1820-7421', '0352-5139']
DOI: https://doi.org/10.2298/jsc200524008a