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

Journal of the Brazilian Chemical Society

Sarmento J. Mazivila¹  Hery Mitsutake¹  Felipe B. De Santana¹  Lucas C. Gontijo¹  Douglas Q. Santos¹  Waldomiro Borges Neto¹ 

关键词: biodiesel;    infrared;    PLS2-DA classification;   

DOI  :  10.5935/0103-5053.20150020

来源: SciELO

【 摘 要 】

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.

【 授权许可】

CC BY   
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