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Rapid Classification and Recognition Method of the Species and Chemotypes of Essential Oils by ATR-FTIR Spectroscopy Coupled with Chemometrics

Authors :
Eleonora Truzzi
Caterina Durante
Davide Bertelli
Benedetta Catellani
Samuele Pellacani
Stefania Benvenuti
Source :
Molecules, Vol 27, Iss 17, p 5618 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

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.

Details

Language :
English
ISSN :
27175618, 14203049, and 98555367
Volume :
27
Issue :
17
Database :
Directory of Open Access Journals
Journal :
Molecules
Publication Type :
Academic Journal
Accession number :
edsdoj.277d985553674c03be3175f2fd6aa25c
Document Type :
article
Full Text :
https://doi.org/10.3390/molecules27175618