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

Cavado Osorio Alberto; Centro de Investigaciones del Petróleo Ciudad de la Habana Cuba; Dago Morales ángel; Dennes Ernesto Linchenat; Fernández Fernández Reinaldo

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

机译：红外光谱法用于煤油分类的SIMCA模型的开发

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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.

机译：在石油精炼工业中，经常使用几种来源的原油。这导致精制过程中化学成分变化的产物，从而阻碍了质量控制。因此，开发有助于更好地表征这些产品的分类模型非常重要。这项研究的目的是开发一种SIMCA识别模式，以使用红外光谱数据对煤油进行分类。该模型可以区分具有不同化学组成的两个煤油基团，这已通过质谱法得到了证实。

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《Quimica nova》 |2008年第6期|共页
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Cavado Osorio Alberto; Centro de Investigaciones del Petróleo Ciudad de la Habana Cuba; Dago Morales ángel; Dennes Ernesto Linchenat; Fernández Fernández Reinaldo;
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中图分类化学;
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机译：通过红外光谱开发开发用于煤油分类的sImCa模型开发用于通过红外光谱分类煤油的sImCa模型

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

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