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  • Dupaul, Gabriel, et al. (författare)
  • Fiberbanks as substrate and feedstock for biological remediation : A practical analytical method development for organic pollutants analysis
  • 2020
  • Ingår i: Book of Abstracts. - : ABA Publishing. - 9789189081031
  • Konferensbidrag (refereegranskat)abstract
    • Fiberbanksfrom the pulp and paper industry are typically contaminated with a wide range ofchlorinated aromatic and aliphatic toxins such as HCB and other chlorinated benzenes, PCB,HCH, DDT, PCDD, PCDF and Chlorophenols. This poses a formidable challenge for theanalyst to develop appropriate analytical methodology for the monitoring of the progress ofremediation.In preparation to this undertaking, an examination of a practical analytical method using oneextraction method, one clean-up and one analysis method for the aforementioned targetcompounds found in the fibrous sediment. This method was performed using acceleratedsolvent extraction (ASE), a modified silica gel column and GC-FID/ECD. Additionally,an assessment of the levels of organic pollutants was conducted,with the purposeofmeasuringthe potential alteration in contaminantswhenfreeze-drying, air-drying andautoclavingpretreatments are applied to the sediment samples, prior to be used as a media forbiological remediation.The results showed that the ASE is a very fast and reliable method of extraction, with yieldscomparableorhigher than the reference Soxhlet extraction method. Theactivatedsilica gelcolumn demonstrated adequate purification of the sediment extract for analysisusingthe twodetectors, FID and ECD, whichwere able to identify the target analytes fromonlyone purifiedextract. The method employed in this study has the potentialto reduceboth processing timeand materialusedfor analytical sample preparation. Lastly, some modifications inconcentrations anddistribution of target analyteswere revealedin thesediments pre-treated byautoclave and air-driedwhencompared withthefreeze-dried sediments, which can helpunderstanding the development of the biological remediation process.
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