TITLE:
FTIR-ATR and Multivariate Calibration for the Prediction of Biodiesel Concentration in Petrodiesel Blends
AUTHORS:
A. Guerrero, F. Anguebes, M. Castelán, V. Morales, R. García, A. V. Córdova, J. C. Zavala
KEYWORDS:
African Palm; FTIR-ATR Chemometric Tools; Partial Least Squares Regression; Petrodiesel-Biodiesel Blends
JOURNAL NAME:
American Journal of Analytical Chemistry,
Vol.4 No.7,
July
15,
2013
ABSTRACT: The increasing use of petrodiesel-biodiesel fuel blends
throughout the world requires fast, economic and efficient analytical
techniques that can be used for the quality control of these fuels. In this
work, we developed an analytical method for
determining the concentration of African palm biodiesel in blends with
petrodiesel; the method is based on infrared spectroscopy (FTIR-ATR). To build
a prediction model, nineteen petrodiesel-biodiesel blends were prepared in
triplicate with biodiesel concentrations for 0%-100% by
weight. The blends were analyzed using Fourier transform infrared
spectroscopy, the spectral fingerprint data were used to build a prediction model
through PLS regression. The optimal number of principal components (PCs), the
standard error of calibration (SEC), the standard validation error (SEV), the
correlation coefficient of calibration (r Cal) and the validation correlation
coefficient (r Val) were used to validate the predictive ability of the model. The
results show that the model obtained in this work has a good ability for determining
the concentration of African palm biodiesel in petrodiesel-biodiesel blends.