The chemical composition of the essential oils from the leaves from three different populations of Psidium laruotteanum Cambess. (Myrtaceae) from the Brazilian Cerrado were analysed by GC-FID and GC-MS. Forty-five components were identified in the oils. The oil yields were 0.3% (dry weight basis). The oil was rich in monoterpenes and major compounds identified were p-cymene (19.4-34.8%), 1,8-cineole (6.9-19.2%) and α-pinene (9.2-11.4%). Although collected in different locations and years, the essential oils composition were quite similar, both qualitative and quantitatively.
The chemical composition of the essential oil from the leaves of Pseudobrickellia brasiliensis (Asteraceae) from the Brazilian Cerrado was analyzed by GC/FID and GC/MS. Thirty-four out of thirty-eight components detected were identified. Major compounds in the oil were terpinen-4-ol (38.6%), γ-terpinene (19.5%), α-terpinene (7.8%) and α-terpineol (4.5%).
Recebido em 19/06/2019; aceito 26/09/2019; publicado na web em 08/01/2020 A SET OF ELECTRONIC SHEETS FOR THE IDENTIFICATION AND QUANTIFICATION OF CONSTITUENTS OF ESSENTIAL OILS. The identification of essential oils constituents has been made easier and faster by the use of automatic software search engines that compare the experimental mass spectra and calculate the retention indices with those in commercial databases. However, these search engines and databases are very expensive. Electronic sheets have been assembled in a set of linked sheets, so that after some data is inserted, linear retention indices, relative response factors, normalization, area correction and absolute quantitation are calculated automatically. The set has been applied to the analysis of essential oils and volatiles in laboratory routine and substantial reduction in time-consuming and error-prone repetitive work were observed. One specific example for the analysis of an essential oil is provided. The designed electronic sheets can be a costless alternative to commercial software for data handling and identification.
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