Chen, Yuan and McPhedran, Kerry N. and Perez-Estrada, Leonidas and Gamal El-Din, Mohamed (2015) An omic approach for the identification of oil sands process-affected water compounds using multivariate statistical analysis of ultrahigh resolution mass spectrometry datasets. Science of The Total Environment, 511. pp. 230-237. DOI: https://doi.org/10.1016/j.scitotenv.2014.12.045
Full text not available from this repository.Abstract
Oil sands process-affected water (OSPW) is a major environmental issue due to its acute and chronic toxicity to aquatic life. Advanced oxidation processes are promising treatments to successfully degrade toxic OSPW compounds. This study applied high resolution mass spectrometry to detect over 1000 compounds in OSPW samples after treatments including general ozonation, and ozone with carbonate, tert-butyl-alcohol, carbonate/tert-butyl-alcohol, tetranitromethane, or iron. Hierarchal clustering analysis showed that samples clustered based on sampling time and principal component analysis corroborated these results while also providing information on significant markers responsible for the clustering. Some markers were uniquely present in certain treatment conditions, while others showed variable behaviours in two or more treatments due to the presence of scavengers/catalysts. This advanced approach to monitoring significant changes of markers by using multivariate analysis can be invaluable for future work on OSPW treatment by-products and their potential toxicity to receiving environment organisms.
[error in script]| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Oil sands process-affected water; Naphthenic acids; Advanced oxidation processes; High resolution mass spectrometry; Multivariate analysis |
| Subjects: | Methodology > Other-additional study Region > Canada Inducing technology > Conventional hydrocarbon extraction Inducing technology > Unconventional hydrocarbon extraction |
| Project: | SHEER project |
