Fast Classification of Different Oils and Routes Used in Biodiesel Production Using Mid Infrared Spectroscopy and PLS2-DA

AUTOR(ES)

Mazivila, Sarmento J., Mitsutake, Hery, Santana, Felipe B. de, Gontijo, Lucas C., Santos, Douglas Q., Borges Neto, Waldomiro

FONTE

J. Braz. Chem. Soc.

DATA DE PUBLICAÇÃO

2015-04

RESUMO

This work aimed at employing partial least square discriminant analysis (PLS2-DA), allied to mid-infrared (MIR) spectroscopy as an analytical method for simultaneous classification of biodiesels from different oils (soybean and used frying oil) and routes (methylic and ethylic). The evaluation of the model was verified through values of sensitivity and specificity for each parameter, in the interest class. PLS2-DA model showed 100% correct classification in the discrimination of types of biodiesels. Therefore, the proposed methodology is fast, because it allows simultaneous classification of different types of biodiesels. Consequently, it can be used in quality control of this type of biofuel.

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