Desarrollo de un modelo SIMCA para la clasificación de kerosinas mediante el empleo de la espectroscopía infrarroja Development of a SIMCA model for classification of kerosene by infrared spectroscopy

In the petroleum refining industry, the use of crude from several origins is frequent. This leads to a product of variable chemical composition during refining, hindering quality control. Therefore, it is important to develop classification models that help to better characterize those products. The...

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Bibliographic Details
Published in:Química nova 2008-01, Vol.31 (6), p.1573-1576
Main Authors: Ángel Dago Morales, Alberto Cavado Osorio, Reinaldo Fernández Fernández, Ernesto Linchenat Dennes
Format: Article
Language:English
Subjects:
infrared spectroscopy
kerosene classification
SIMCA model
Online Access:Get full text
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Summary:In the petroleum refining industry, the use of crude from several origins is frequent. This leads to a product of variable chemical composition during refining, hindering quality control. Therefore, it is important to develop classification models that help to better characterize those products. The objective of this study is to develop a SIMCA recognition pattern to classify kerosene using infrared spectroscopy data. The model permits to differentiate two kerosene groups with different chemical compositions, which was corroborated by mass spectrometry.
ISSN:0100-4042
1678-7064
DOI:10.1590/S0100-40422008000600049