Premium
Environmentally Friendly Determination of Quality Parameters of Biodiesel/Diesel Blends Using Fourier Transform Infrared Spectra
Author(s) -
Ruschel Carla Felippi Chiella,
Huang Chun Te,
Samios Dimitrios,
Ferrão Marco Flôres,
Yamamoto Carlos Itsuo,
Plocharski Rubia Carla Barato
Publication year - 2015
Publication title -
journal of the american oil chemists' society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.512
H-Index - 117
eISSN - 1558-9331
pISSN - 0003-021X
DOI - 10.1007/s11746-015-2601-z
Subject(s) - partial least squares regression , biodiesel , cetane number , diesel fuel , flash point , multivariate statistics , iodine value , mathematics , vegetable oil , acid value , soybean oil , calibration , analytical chemistry (journal) , infrared spectroscopy , materials science , chemistry , statistics , organic chemistry , food science , biochemistry , catalysis
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.