Ruschel C.F.C.,Federal University of Rio Grande do Sul |
Huang C.T.,Federal University of Rio Grande do Sul |
Samios D.,Federal University of Rio Grande do Sul |
Ferrao M.F.,Federal University of Rio Grande do Sul |
And 3 more authors.
JAOCS, Journal of the American Oil Chemists' Society | Year: 2015
Multivariate calibration models based on data from mid-infrared spectroscopy of biodiesel/diesel blends were obtained. The blends were prepared from diesel oil and esters of soybean oil, waste cooking oil, and hydrogenated vegetable oil in proportions ranging from 0 to 100 % biodiesel. The results showed that the multivariate regression models with interval partial least squares (iPLS), backward interval partial least squares (biPLS), and synergy interval partial least squares (siPLS) were able to determine the fractions of the infrared spectrum that contain the relevant information for estimating the values of physicochemical properties, flash point, specific gravity, and cetane number, which are used in quality control of the blends. In the best models, the values of determination coefficients were greater than 0.9500, proving their efficiency as an alternative to traditional analytical methods. © AOCS 2015.