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Original Experimental Approach for Assessing Transport Fuel Stability
Published on: October 21, 2016
Identification of fuel samples from the Prestige wreckage by pattern recognition methods
R Fernández-Varela1, J M Andrade, S Muniategui
1Department of Analytical Chemistry, University of A Coruña, A Coruña, Spain.
Marine Pollution Bulletin
|December 7, 2007
Summary
This study used gas chromatography and pattern recognition to analyze oil samples from the Prestige tanker disaster. The methods successfully identified and differentiated crude oils, fuel oils, and spill-related samples.
Area of Science:
- Environmental Chemistry
- Analytical Chemistry
- Chemometrics
Background:
- The Prestige tanker disaster resulted in significant oil pollution along the Galician coast.
- Characterizing spilled oil is crucial for identifying pollution sources and environmental impact assessment.
Purpose of the Study:
- To differentiate and characterize the fuel oil from the Prestige tanker wreck.
- To develop a rapid and cost-effective analytical screening methodology for oil sample analysis.
Main Methods:
- Analysis of 34 crude oils, 12 distilled products, and 45 environmental oil samples.
- Gas chromatography with flame ionization detection (GC-FID).
- Multivariate pattern recognition: Principal Component Analysis (PCA), Cluster Analysis (CA), and Kohonen Neural Networks.
Main Results:
- Successful differentiation between crude oils, distilled products, and samples from the Prestige wreck versus other illegal discharges.
- Identification of a reduced set of 13 n-alkanes (out of 36) using Procrustes Rotation that capture key data characteristics.
- The selected n-alkanes enable a fast and economical analytical screening methodology.
Conclusions:
- Chemometric methods combined with GC-FID are effective for differentiating complex oil mixtures and identifying pollution sources.
- A reduced set of n-alkanes provides a robust basis for a simplified and efficient oil analysis technique.
- This approach aids in environmental forensics and oil spill response efforts.
