Open AccessRapid Quantification of the Palm Kernel Biokerosene Content in Mixtures with Aviation Kerosene using MIR Spectroscopy and Multivariate Regression by PLS
Author(s) -
Ademar Domingos Viagem Máquina,
Maria Teresa Ferreira,
Edvando Teles,
Douglas Queiroz Santos,
Waldomiro Borges Neto
Publication year - 2021
Publication title -
brjac brazilian journal of analytical chemistry
Language(s) - English
Resource type - Journals
eISSN - 2179-3433
pISSN - 2179-3425
DOI - 10.30744/brjac.2179-3425.ar-26-2021
Subject(s) - correlation coefficient , calibration , mean squared error , multivariate statistics , partial least squares regression , mathematics , statistics , coefficient of determination , linear regression , near infrared spectroscopy , analytical chemistry (journal) , chemistry , chromatography , physics , optics
An alternative methodology was developed to monitor the biokerosene content of palm kernel in blend with kerosene using medium infrared spectroscopy associated with partial least squares (PLS). The efficiency of this methodology was analyzed based on the parameters of accuracy and figures of merit. The values of root-mean-square error of cross-validation (RMSECV), root-mean-square error of calibration (RMSEC) and root-mean-square error of prediction (RMSEP) were in agreement because the RMSEP was higher than RMSECV and RMSEC. In addition, the RMSEP value is considered acceptable according to the Brazilian standard ABNT NBR 15568 because it is less than 1%. The figures of merit were performed in agreement with the requirements established in the standard ASTM E1655-05. The linearity of the model was assessed based on the analysis of the model fit through the correlation of the actual and predicted values of the calibration and prediction sets, where a high correlation between the values was evidenced, with a correlation coefficient (R) exceeding 0.99. The good results of the application of MIR spectroscopy combined with multivariate regression by PLS suggest that this analytical methodology is feasible, efficient and suitable for use by inspection agencies to control the biokerosene content of palm kernel in mixture with diesel.