Feasibility of the determination of polycyclic aromatic hydrocarbons in edible oils via unfolded partial least-squares/residual bilinearization and parallel factor analysis of fluorescence excitation emission matrices

Francis Alarcoń, Marí E. B́aez, MANUEL ANDRES BRAVO MERCADO, Pablo Richter, Graciela M. Escandar, Alejandro C. Olivieri, Edwar Fuentes

Research output: Contribution to journalArticlepeer-review

45 Scopus citations

Abstract

The possibility of simultaneously determining seven concerned heavy polycyclic aromatic hydrocarbons (PAHs) of the US-EPA priority pollutant list, in extra virgin olive and sunflower oils was examined using unfolded partial least-squares with residual bilinearization (U-PLS/RBL) and parallel factor analysis (PARAFAC). Both of these methods were applied to fluorescence excitation emission matrices. The compounds studied were benzo[a]anthracene, benzo[b]fluoranthene, benzo[k]fluoranthene, benzo[a]pyrene, dibenz[a,h] anthracene, benzo[g,h,i]perylene and indeno[1,2,3-c,d]-pyrene. The analysis was performed using fluorescence spectroscopy after a microwave assisted liquid-liquid extraction and solid-phase extraction on silica. The U-PLS/RBL algorithm exhibited the best performance for resolving the heavy PAH mixture in the presence of both the highly complex oil matrix and other unpredicted PAHs of the US-EPA list. The obtained limit of detection for the proposed method ranged from 0.07 to 2 μg kg-1. The predicted U-PLS/RBL concentrations were satisfactorily compared with those obtained using high-performance liquid chromatography with fluorescence detection. A simple analysis with a considerable reduction in time and solvent consumption in comparison with chromatography are the principal advantages of the proposed method.

Original languageEnglish
Pages (from-to)361-370
Number of pages10
JournalTalanta
Volume103
DOIs
StatePublished - 15 Jan 2013
Externally publishedYes

Keywords

  • Edible oils
  • Fluorescence excitation-emission matrices
  • Multivariate calibration
  • Polycyclic aromatic hydrocarbons

Fingerprint Dive into the research topics of 'Feasibility of the determination of polycyclic aromatic hydrocarbons in edible oils via unfolded partial least-squares/residual bilinearization and parallel factor analysis of fluorescence excitation emission matrices'. Together they form a unique fingerprint.

Cite this