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

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

Author Mogollon, Noroska G. S. Google Scholar
Ribeiro, Fabiana A. L. Google Scholar
Poppi, Ronei J. Google Scholar
Quintana, Araceli L. Google Scholar
Chavez, Juan A. G. Google Scholar
Agualongo, Darwin A. P. Google Scholar
Aleme, Helga G. Autor UNIFESP Google Scholar
Augusto, Fabio Google Scholar
Abstract 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.
Keywords biodiesel
comprehensive two-dimensional gas chromatography
multiway pattern recognition
multiway principal component analysis
xmlui.dri2xhtml.METS-1.0.item-coverage Sao Paulo
Language English
Sponsor Brazilian Ministry of Education Agency for Improvement of Graduate Personnel (CAPES)
National Council for Scientific and Technological Development (CNPq)
Sao Paulo Research Foundation (FAPESP)
Date 2017
Published in Journal Of The Brazilian Chemical Society. Sao Paulo, v. 28, n. 5, p. 740-746, 2017.
ISSN 0103-5053 (Sherpa/Romeo, impact factor)
Publisher Soc Brasileira Quimica
Extent 740-746
Origin http://dx.doi.org/10.21577/0103-5053.20160222
Access rights Open access Open Access
Type Article
Web of Science ID WOS:000400157800005
SciELO ID S0103-50532017000500740 (statistics in SciELO)
URI https://repositorio.unifesp.br/handle/11600/54605

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