@booklet {Benzo:2007p1160,
	title = {Determination of the threshold odor concentration of main odorants in essential oils using gas chromatography-olfactometry incremental dilution technique},
	howpublished = {J Chromatogr A},
	volume = {1150},
	number = {1-2},
	year = {2007},
	month = {Jan},
	pages = {131{\textendash}135},
	abstract = {An essential oil, obtained by steam distillation of Clinopodium tomentosum (Kunth) Govaerts (Lamiaceae), collected in Ecuador, was analyzed by gas chromatography-olfactometry (GC-O) and GC-MS techniques. To our knowledge, the composition of this essential oil is described here for the first time, both from the chemical and olfactometric viewpoints. A preliminary analysis by GC-MS and using Kovats{\textquoteright} retention indexes, lead to characterize and quantify the oil constituents, while GC-O was then applied for the identification of the main odorants. By the incremental dilution method (AEDA, CHARM Analysis), applied to the GC-O technique, the flavor dilution (1713) chromatogram was obtained. In order to calculate the TOC values of the main odorants, the relationship between the odorant concentration at the sniffing port and that one in the injected solution was established. This relationship was calculated by comparing the injected amount with the TOC value of a reference compound (limonene), obtained by dynamic dilution olfactometry. A good agreement was found between calculated and measured TOC values of few odorants. (C) 2007 Elsevier B.V. All rights reserved.},
	keywords = {Aeda, Clinopodium Tomentosum (Kunth) Govaerts, Dynamic Olfactometry, Essential Oil, Foods, Gc-Ms, Gc-O, Toc},
	doi = {10.1016/j.chroma.2007.02.031},
	url = {http://www.sciencedirect.com/science?_ob=ArticleURL\&_udi=B6TG8-4N2D2V0-2\&_user=2139813\&_rdoc=1\&_fmt=\&_orig=search\&_sort=d\&_docanchor=\&view=c\&_acct=C000054276\&_version=1\&_urlVersion=0\&_userid=2139813\&md5=dd94e8d6d1c7cff0d0162ac3dd3191eb},
	author = {Maurizio Benzo and Gianluca Gilardoni and Carlo Gandini and Gabriele Caccialanza and Paola Vita Finzi and Giovanni Vidari and Susana Abdo and Patricia Layedra}
}
@article {Quinn:2007p1094,
	title = {Identification of compounds from Etonia rosemary (Conradina etonia)},
	journal = {J Chromatogr A},
	volume = {1160},
	number = {1-2},
	year = {2007},
	month = {Jan},
	pages = {306{\textendash}310},
	abstract = {Mosquitoes transmit pathogens that result in diseases harmful to human, livestock, and wildlife hosts. Numerous measures can be used to reduce insect-borne disease risk to humans, and one approach is the use of topical repellents to prevent host-seeking arthropods from taking a blood meal. A current emphasis in the development of new repellents is that they be safe. Therefore, natural products sources are increasingly being explored. Compounds from plants of the mint family (Lamiaceae) have been demonstrated to be insect repellents. This study examines compounds from Etonia rosemary (Conradina etonia) to identify compounds for examination as insect repellents. Samples of Etonia rosemary were passively extracted with hexane, dichloromethane, and methanol and analyzed by GC/MS. This extraction method was chosen to eliminate thermal degradation of plant components that can occur during the distillation procedure. Additional headspace volatile compounds from this plant were identified using microscale purge-and-trap GC/MS. A variety of terpenes, terpenic alcohols, ketones, and aldehydes were identified in the extracts with terpenes and short-chained aldehydes detected in greatest abundance. Published by Elsevier B.V.},
	keywords = {Catnip, Chemical-Composition, Chemistry, Components, Essential Oil, Extracts, Gc/Ms, Headspace Analysis, Lamiaceae, Mosquito Repellents, Repellency, Terpenoids, Toxicity},
	doi = {10.1016/j.chroma.2007.05.060},
	url = {http://www.sciencedirect.com/science?_ob=ArticleURL\&_udi=B6TG8-4NTJH1V-3\&_user=2139813\&_rdoc=1\&_fmt=\&_orig=search\&_sort=d\&_docanchor=\&view=c\&_acct=C000054276\&_version=1\&_urlVersion=0\&_userid=2139813\&md5=65721d99be4f7e00cfc7bec05e132d28},
	author = {Brian P Quinn and Ulrich R Bernier and Matthew M Booth}
}
