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J Pharm Biomed Anal

Title:		Rapid determination of essential oils functional groups using compositional methods and VisNIR spectroscopy
Author(s):		Cayuela-Sanchez JA; El Ouaddari A; El Amrani A; Jamal-Eddine J;
Address:		"Dpt. BMBP, Instituto de la Grasa (CSIC), Campus Universidad Pablo de Olavide, Ed. 46., Crtra. Utrera Km 1, 41013, Sevilla, Spain. Electronic address: jacayuela@ig.csic.es. Laboratory of Chemistry, Biochemistry, Nutrition, and Environment, Faculty of Medicine and Pharmacy, University Hassan II, Casablanca, Morocco. Laboratory of Organic Synthesis, Extraction, and Valorization, Faculty of Sciences Ain Chock, Hassan II University of Casablanca, B.P 5366 Maarif, Casablanca, Morocco"
Journal Title:		J Pharm Biomed Anal
Year:		2023
Volume:		20230202
Issue:
Page Number:		115278 -
DOI:		10.1016/j.jpba.2023.115278
ISSN/ISBN:		1873-264X (Electronic) 0731-7085 (Linking)
Abstract:		"Essential oils (EOs) are natural products formed by plant volatile compounds. EOs are frequently used in the cosmetic and food industries as well as for domestic purposes, because of their physiochemical, biological and sensory properties. The functional groups (FG), corresponding to various chemical structures present in EOs, are responsible for their biological activities. Therefore, simple, rapid, and economical techniques suitable to characterize the EOs features by measuring their contents, are of great interest. Near-infrared spectroscopy (NIRS) highlights because of its rapidity, and being no-contaminant, as a potential solution. Multivariate correlation methods are commonly used to build NIRS calibrations. These methods were designed for the real space, that is for values comprised between - infinity and + infinity. However, EOs components are co-dependent data restricted to a simplex space. These are the so-called compositional data (CoDa), needing specific methods to be correlated with a set of spectral explicative variables. In this study, compositional visible and near-infrared (VISNIRS) models have been assessed to quantify the FG of the analyzed EOs. For this purpose, the FG were organized according to their greater frequency in 1) alcohol; 2) ether; 3) ester; 4) aldehydes; 5) ketones, and the hydrocarbon fraction representing the remainder EOs mass, to characterize them. The approach of this study, based on compositional models from VISNIRS spectra, has provided a satisfactory predictive performance for the quantitative estimation of the main FG of the EOs. The proposed approach can be an alternative to traditional chemical methods to characterize EOs"
Keywords:		"*Oils, Volatile/chemistry Spectroscopy, Near-Infrared Plants CoDa Compositional data Essential oil Nirs;"
Notes:		"MedlineCayuela-Sanchez, Jose Antonio El Ouaddari, Anass El Amrani, Abdelaziz Jamal-Eddine, Jamal eng England 2023/02/06 J Pharm Biomed Anal. 2023 Apr 1; 227:115278. doi: 10.1016/j.jpba.2023.115278. Epub 2023 Feb 2"