Loading...

Chemometrics-assisted effect-directed analysis of crude and refined oil using comprehensive two-dimensional gas chromatography-time-of-flight mass spectrometry

Radovic, J. R ; Sharif University of Technology

2355 Viewed
  1. Type of Document: Article
  2. DOI: 10.1021/es404859m
  3. Abstract:
  4. An effect-directed analysis (EDA) of fresh and artificially weathered (evaporated, photooxidized) samples of North Sea crude oil and residual heavy fuel oil is presented. Aliphatic, aromatic, and polar oil fractions were tested for the presence of aryl hydrocarbon receptor (AhR) agonist and androgen receptor (AR) antagonist, demonstrating for the first time the AR antagonist effects in the aromatic and, to a lesser extent, polar fractions. An extension of the typical EDA strategy to include an N-way partial least-squares (N-PLS) model capable of relating the comprehensive two-dimensional gas chromatography-time-of-flight mass spectrometry (GC × GC-TOFMS) data set to the bioassay data obtained from normal-phase LC fractions is proposed. The predicted AhR binding effects in the fresh and artificially weathered aromatic oil fractions facilitated the identification of alkyl-substituted three- and four-ring aromatic systems in the active fractions through the weighting of their contributions to the observed effects. A N-PLS chemometric model is demonstrated as a potentially useful strategy for future EDA studies that can streamline the compound identification process and provide additional reduction of samples' complexity. The AhR binding effects of the suspected compounds predicted by N-PLS and identified by GC × GC-TOFMS were confirmed using quantitative structure-activity relationship (QSAR) estimates
  5. Keywords:
  6. Aromatization ; Bioassay ; Chromatography ; Computational chemistry ; Mass spectrometry ; Smoke detectors ; Aryl hydrocarbon receptor ; Chemometric modeling ; Comprehensive two-dimensional ; Effect-directed analysis ; Identification process ; North Sea crude oil ; Partial least squares ; Quantitative structure-activity relationships ; Aromatic hydrocarbons ; Androgen receptor ; Fuel oil ; Aromatic hydrocarbon receptor ; Oil ; Petroleum ; Chemical binding ; Crude oil ; Quantitative analysis ; Sampling ; Two-dimensional modeling ; Animal cell ; Chemometrics ; Evaporation ; Fractionation ; Gas chromatography ; High performance liquid chromatography ; Human ; Human cell ; Nonhuman ; Partial least squares regression ; Photooxidation ; Rat ; Receptor binding ; Substitution reaction ; Time of flight mass spectrometry ; Agonists ; Animal
  7. Source: Environmental Science and Technology ; Vol. 48, issue. 5 , 2014 , pp. 3074-3083 ; ISSN: 0013936X
  8. URL: http://pubs.acs.org/doi/abs/10.1021/es404859m