Comprehensive Two-Dimensional Gas Chromatography with Peak Tracking for Screening of Constituent Biodegradation in Petroleum UVCB Substances.
Andy M BoothLisbet SørensenOdd G BrakstadDeni RibicicMari CreeseJ Samuel AreyDelina Y LyonAaron D RedmanAlberto Martin-AparicioLouise CamenzuliNeil WangJonas GrosPublished in: Environmental science & technology (2023)
Petroleum substances, as archetypical UVCBs (substances of unknown or variable composition, complex reaction products, or biological substances), pose a challenge for chemical risk assessment as they contain hundreds to thousands of individual constituents. It is particularly challenging to determine the biodegradability of petroleum substances since each constituent behaves differently. Testing the whole substance provides an average biodegradation, but it would be effectively impossible to obtain all constituents and test them individually. To overcome this challenge, comprehensive two-dimensional gas chromatography (GC × GC) in combination with advanced data-handling algorithms was applied to track and calculate degradation half-times (DT 50 s) of individual constituents in two dispersed middle distillate gas oils in seawater. By tracking >1000 peaks (representing ∼53-54% of the total mass across the entire chromatographic area), known biodegradation patterns of oil constituents were confirmed and extended to include many hundreds not currently investigated by traditional one-dimensional GC methods. Approximately 95% of the total tracked peak mass biodegraded after 64 days. By tracking the microbial community evolution, a correlation between the presence of functional microbial communities and the observed progression of DT 50 s between chemical classes was demonstrated. This approach could be used to screen the persistence of GC × GC-amenable constituents of petroleum substance UVCBs.
Keyphrases
- gas chromatography
- mass spectrometry
- tandem mass spectrometry
- microbial community
- drinking water
- high resolution mass spectrometry
- gas chromatography mass spectrometry
- risk assessment
- essential oil
- solid phase extraction
- liquid chromatography
- machine learning
- simultaneous determination
- high resolution
- deep learning
- antibiotic resistance genes
- electronic health record
- human health
- room temperature
- heavy metals
- high speed