Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/199503
Type: Artigo de periódico
Title: Quantitative Analysis Of Essential Oils In Perfume Using Multivariate Curve Resolution Combined With Comprehensive Two-dimensional Gas Chromatography.
Author: de Godoy, Luiz Antonio Fonseca
Hantao, Leandro Wang
Pedroso, Marcio Pozzobon
Poppi, Ronei Jesus
Augusto, Fabio
Abstract: The use of multivariate curve resolution (MCR) to build multivariate quantitative models using data obtained from comprehensive two-dimensional gas chromatography with flame ionization detection (GC×GC-FID) is presented and evaluated. The MCR algorithm presents some important features, such as second order advantage and the recovery of the instrumental response for each pure component after optimization by an alternating least squares (ALS) procedure. A model to quantify the essential oil of rosemary was built using a calibration set containing only known concentrations of the essential oil and cereal alcohol as solvent. A calibration curve correlating the concentration of the essential oil of rosemary and the instrumental response obtained from the MCR-ALS algorithm was obtained, and this calibration model was applied to predict the concentration of the oil in complex samples (mixtures of the essential oil, pineapple essence and commercial perfume). The values of the root mean square error of prediction (RMSEP) and of the root mean square error of the percentage deviation (RMSPD) obtained were 0.4% (v/v) and 7.2%, respectively. Additionally, a second model was built and used to evaluate the accuracy of the method. A model to quantify the essential oil of lemon grass was built and its concentration was predicted in the validation set and real perfume samples. The RMSEP and RMSPD obtained were 0.5% (v/v) and 6.9%, respectively, and the concentration of the essential oil of lemon grass in perfume agreed to the value informed by the manufacturer. The result indicates that the MCR algorithm is adequate to resolve the target chromatogram from the complex sample and to build multivariate models of GC×GC-FID data.
Subject: Algorithms
Chromatography, Gas
Cymbopogon
Flame Ionization
Least-squares Analysis
Oils, Volatile
Perfume
Rosmarinus
Rights: fechado
Identifier DOI: 10.1016/j.aca.2011.05.003
Address: http://www.ncbi.nlm.nih.gov/pubmed/21704766
Date Issue: 2011
Appears in Collections:Artigos e Materiais de Revistas Científicas - Unicamp

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