Rapid Classification and Recognition Method of the Species and Chemotypes of Essential Oils by ATR-FTIR Spectroscopy Coupled with Chemometrics
Articolo
Data di Pubblicazione:
2022
Citazione:
Rapid Classification and Recognition Method of the Species and Chemotypes of Essential Oils by ATR-FTIR Spectroscopy Coupled with Chemometrics / Truzzi, E., Durante, C., Bertelli, D., Catellani, B., Pellacani, S., Benvenuti, S.. - In: MOLECULES. - ISSN 1420-3049. - 27:17(2022), pp. N/A-N/A. [10.3390/molecules27175618]
Abstract:
In the present work, the applicability of attenuated total reflectance-Fourier transform infrared (ATR-FTIR) spectroscopy, coupled with chemometric tools in recognizing essential oils (EOs) for routine control, was evaluated. EOs belonging to Mentha, Cymbopogon, and Lavandula families and to S. rosmarinus and T. vulgaris species were analyzed, and the performance of several untargeted approaches, based on the synergistic combination of ATR-FTIR and Partial Least Squares Discriminant Analysis (PLS-DA), was tested to classify the species and chemotypes. Different spectra pre-processing methods were employed, and the robustness of the built models was tested by means of a Receiver Operating Characteristic (ROC) curve and random permutations test. The application of these approaches revealed fruitful results in terms of sensitivity and specificity, highlighting the potentiality of ATR-FTIR and chemometrics techniques to be used as a sensitive, cost-effective, and rapid tool to differentiate EO samples according to their species and chemotype.
Tipologia CRIS:
Articolo su rivista
Keywords:
attenuated total reflectance-Fourier transform infrared spectroscopy; chemotypes; multivariate statistical analyses; partial least squares discriminant analysis (PLS-DA); principal component analysis (PCA); Ataxia Telangiectasia Mutated Proteins; Chemometrics; Discriminant Analysis; Fourier Analysis; Humans; Least-Squares Analysis; Spectroscopy, Fourier Transform Infrared; Oils, Volatile
Elenco autori:
Truzzi, E.; Durante, C.; Bertelli, D.; Catellani, B.; Pellacani, S.; Benvenuti, S.
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