Development of a SIMCA model for classification of kerosene by infrared spectroscopy

Química Nova

Fernández Fernández, Reinaldo¹  Cavado Osorio, Alberto¹  Dago Morales, Ángel¹  Dennes, Ernesto Linchenat¹  Centro de Investigaciones del Petróleo, Ciudad de la Habana, Cuba¹ 

关键词: SIMCA model;    kerosene classification;    infrared spectroscopy.;   

DOI  :  10.1590/S0100-40422008000600049

学科分类：化学（综合）

来源: Sociedade Brasileira de Quimica

【 摘 要 】

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.

【 授权许可】

Unknown