Preprint Article Version 1 This version is not peer-reviewed

Characterization and Analysis of Volatile Fingerprint of 13 Different Commercial Essential Oils with GC-MS and Chemical Gas Sensors

Version 1 : Received: 28 September 2018 / Approved: 28 September 2018 / Online: 28 September 2018 (13:22:44 CEST)

How to cite: Núñez-Carmona, E.; Abbatangelo, M.; Sberveglieri, V. Characterization and Analysis of Volatile Fingerprint of 13 Different Commercial Essential Oils with GC-MS and Chemical Gas Sensors. Preprints 2018, 2018090568 (doi: 10.20944/preprints201809.0568.v1). Núñez-Carmona, E.; Abbatangelo, M.; Sberveglieri, V. Characterization and Analysis of Volatile Fingerprint of 13 Different Commercial Essential Oils with GC-MS and Chemical Gas Sensors. Preprints 2018, 2018090568 (doi: 10.20944/preprints201809.0568.v1).

Abstract

Essential oils are mixtures of compounds obtained from plants, including flowers, roots, bark, leaves, seeds,peel, fruits, wood, that have risen up in the last decades thanks to their beneficial properties as antibacterial, antifungal and anti-inflammatory agents. The aim of this study was to characterize and analyze 13 different commercial essential oils with two different techniques. The first is GC-MS, coupled with SPME, thanks to which 204 different VOCs have been identified. The results show that a total of 95 compounds was found only in one oil, while the others were found with different frequencies in many of them. The most represented class is that of terpenes, as widely reported in literature. The second technique is based on an array of chemical gas sensors. This system was used to investigate whether sensors are able to identify these products. It turned out that basil, cinnamon and carnation are the most identifiable oils with different number and typology of sensors, especially tin oxide and copper oxide nanowires, while cayeput and thyme are more mistakable samples. Thanks to this detailed study, it has been possible to reach and obtain novel insights for the future development of this type of research.

Subject Areas

essential oils; VOCs; GC-MS SPME; electronic nose; nanowire gas sensors; ANOVA.

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