Abstract

An algorithm for stepwise approximation to the most reliable source of contamination is proposed. The concept of the algorithm is based on discrimination rather than on similarity. Gradually, by means of more complicated and higher distinguishing power approaches, the differences between the spilled sample and the suspected source are checked. Capillary gas chromatography with flame-ionization and mass spectrometric detection was applied to gather the necessary data. Fingerprint, diagnostic parameter approaches and pattern recognition methods were used for reliably distinguishing the analytical results. If the compared samples are not discriminated by any means, they are considered as identical.