Desarrollo de un modelo SIMCA para la clasificación de kerosinas mediante el empleo de la espectroscopía infrarroja

Química Nova

Ángel Dago Morales¹  Alberto Cavado Osorio¹  Reinaldo Fernández Fernández¹  Ernesto Linchenat Dennes¹ 

[1] ,Centro de Investigaciones del PetróleoCiudad de la Habana,Cuba

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

DOI  :  10.1590/S0100-40422008000600049

来源: SciELO

【 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】

CC BY-NC   
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