Development of a methodology for accurate quantitation of alkylated polycyclic aromatic hydrocarbons in petroleum and oil contaminated environmental samples

2014 ◽  
Vol 6 (19) ◽  
pp. 7760-7771 ◽  
Author(s):  
Chun Yang ◽  
Gong Zhang ◽  
Zhendi Wang ◽  
Zeyu Yang ◽  
Bruce Hollebone ◽  
...  
Keyword(s):  
Polycyclic Aromatic Hydrocarbons ◽  
Aromatic Hydrocarbons ◽  
Environmental Samples ◽  
Polycyclic Aromatic ◽  
Alkylated Polycyclic Aromatic Hydrocarbons

scholarly journals Evaluation of a Simplified Method for GC/MS Qualitative Analysis of Polycyclic Aromatic Hydrocarbons, Polychlorinated Biphenyls, and Organic Pesticides Using PARADISe Computer Program

Molecules ◽  
2020 ◽  
Vol 25 (16) ◽  
pp. 3727
Author(s):  
Łukasz Dąbrowski
Keyword(s):  
Polycyclic Aromatic Hydrocarbons ◽  
Polychlorinated Biphenyls ◽  
Computer Program ◽  
Aromatic Hydrocarbons ◽  
Environmental Samples ◽  
Organic Carbon Content ◽  
Standard Mixture ◽  
Polycyclic Aromatic ◽  
Organic Pesticides

For complex matrices such as environmental samples, there is usually a problem with not fully resolved peaks during GC/MS analysis. The PARADISe computer program (based on the PARFAC2 model) allows the identification of peaks using the deconvoluted mass spectra and the NIST MS library. The number of repetitions required by this software (at least five) is a real limitation for the determination of semi-volatile compounds, like polycyclic aromatic hydrocarbons, polychlorinated biphenyls, and organic pesticides in environmental samples. In this work, the method to overcome this condition was proposed and evaluated. The sets of the five files required by PARADISe were prepared by mathematically modifying the original GC/MS chromatograms obtained for the standard mixture (C = 2 µg/mL of 40 compounds) and real sample extracts (soil samples with different total organic carbon content and one cardboard extract) spiked with standards. Total average match factor for all the substances identified in a standard mixture was 874 (near 900—“excellent match”), and for all the substances in the real samples, it was 786 (near 800—“good match”). The results from PARADISe were comparable to those obtained with other programs: AMDIS (NIST) and MassHunter (Agilent), tested also in this work. PARADISe software can be effectively used for chromatogram deconvolution and substance identification.

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