Um conjunto de planilhas eletrônicas para identificação e quantificação de constituintes de óleos essenciais.

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dc.contributorHUMBERTO RIBEIRO BIZZO, CTAA
dc.contributorEDUARDO G. BARBOZA, UNIVERSIDADE FEDERAL DO RIO DE JANEIRO
dc.contributorMARCELLY CRISTINA DA SILVA SANTOS, CTAA
dc.contributorPAOLA ERVATTI GAMA, CTAA.
dc.creatorBIZZO, H. R.
dc.creatorBARBOZA, E. G.
dc.creatorSANTOS, M. C. da S.
dc.creatorGAMA, P. E.
dc.date2020-06-06T04:04:31Z
dc.date2020-06-06T04:04:31Z
dc.date2020-02-11
dc.date2020
dc.date.accessioned2026-06-30T23:10:17Z
dc.descriptionThe 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.
dc.descriptionNota Técnica. A set of electronic sheets for the identification and quantification of constituents of essential oils.
dc.identifierQuímica Nova, v. 43, n. 1, p. 98-105, 2020.
dc.identifierhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1120150
dc.identifier.urihttp://hdl.handle.net/123456789/375715
dc.languagepor
dc.rightsopenAccess
dc.subjectLinear retention indices
dc.subjectAutomatation
dc.subjectSsential oil analysis
dc.subjectEssential oils
dc.subjectGas chromatography
dc.subjectMass spectrometry
dc.titleUm conjunto de planilhas eletrônicas para identificação e quantificação de constituintes de óleos essenciais.
dc.typeArtigo de periódico

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