TITLE:
Determination of the Biodiesel Content in Petrodiesel/Biodiesel Blends: A Method Based on Uv-Visible Spectroscopy and Chemometrics Tools
AUTHORS:
Armando Guerrero, Francisco Anguebes, Mepivoseth Castelán, Victorino Morales, Ismael León, José C. Zavala, Atl V. Córdova
KEYWORDS:
African Palm; Petrodiesel/Biodiesel Blends; Regression Model PLS; Spectroscopy UV-Visible
JOURNAL NAME:
American Journal of Analytical Chemistry,
Vol.4 No.6,
June
20,
2013
ABSTRACT: In this work, we developed
an analytical method based on UV-visible spectroscopy to determine the
concentration of biodiesel from African palm in blends of petrodiesel.
Seventy-five samples with biodiesel concentrations between 0-100 wt% were
prepared. The spectral fingerprints that were obtained from the analysis of the
samples by UV-visible spectroscopy
were used to build predictive model using PLS regression. The predictive
ability of the models was evaluated through statistical parameters: the
standard error of calibration (SEC), the standard error of validation (SEV),
the correlation coefficient of calibration (r Cal) and validation (r Val), the
ratio (SEC/SEV), the coefficient of determination R2, the paired
data Student’s t-test, cross-validation and external validation. The results
indicate that the PLS model predicts the concentration of biodiesel from
African palm with high precision in mixtures with petrodiesel. The method developed in this study can be applied to determine the
concentration of biodiesel African palm in mixtures of petrodiesel in a more
rapid and economical way. Moreover, this method has less analytical errors and
is more environmentally friendly than the conventional methods.