Exploratory Analysis of Biodiesel by Combining Comprehensive Two-Dimensional Gas Chromatography and Multiway Principal Component Analysis

Comprehensive two-dimensional gas chromatography (GCxGC) was used in this work in order to reveal and identify minor compounds of several raw materials in biodiesel samples, which are not detected by conventional GC analysis. Multiway principal component analysis (MPCA) of the chromatographic profil...

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Detalles Bibliográficos
Autores: Mogollon, Noroska G. S., Ribeiro, Fabiana A. L., Poppi, Ronei J., Quintana, Araceli L., Chavez, Juan A. G., Agualongo, Darwin A. P., Aleme, Helga G. [UNIFESP], Augusto, Fabio
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2017
País:Brasil
Institución:Universidade Federal de São Paulo (UNIFESP)
Repositorio:Repositório Institucional da UNIFESP
Idioma:inglés
OAI Identifier:oai:repositorio.unifesp.br:11600/54605
Acceso en línea:http://dx.doi.org/10.21577/0103-5053.20160222
https://repositorio.unifesp.br/handle/11600/54605
Access Level:acceso abierto
Palabra clave:biodiesel
comprehensive two-dimensional gas chromatography
multiway pattern recognition
multiway principal component analysis
Descripción
Sumario:Comprehensive two-dimensional gas chromatography (GCxGC) was used in this work in order to reveal and identify minor compounds of several raw materials in biodiesel samples, which are not detected by conventional GC analysis. Multiway principal component analysis (MPCA) of the chromatographic profile allowed to identify compounds as C15: 1n-3, C18: 2n-6, C20: 1n-6, C20: 3n-3, C20: 3n-6, C20: 4n-6 C20: 5n-3, C21: 1n-6, C22: 1n-9, C23: 1n-9, C24: 1n-9 multi-unsaturated which were useful tracers to discriminate between biodiesel samples. In this way, the separation power of GCxGC combined with the MPCA algorithm proved to be a valuable strategy for biodiesel samples classification, allowing identification and providing additional compounds of the commonly known as chemical profile of biodiesel samples.