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Record W3134532711 · doi:10.82308/44651

Oxidative transformation of perfluoroalkyl and polyfluoroalkyl substances (PFAS):applications for destruction and chemical measurement

2020· article· en· W3134532711 on OpenAlexaboutno aff
Eniola Oye-Bamgbose

Bibliographic record

VenueeScholarship@McGill (McGill) · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicPer- and polyfluoroalkyl substances research
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental chemistryChemistryTransformation (genetics)Environmental scienceBiochemistry

Abstract

fetched live from OpenAlex

Perfluoroalkyl and Polyfluoroalkyl substances (PFAS) are anthropogenic chemicals with unique properties and wide applications in industrial and consumer products. However, studies have shown that the once highly valued PFAS are persistent pollutants, ubiquitous in the environment, and are developmental and reproductive toxins. To meet the stringent drinking water guidelines for PFAS, technologies that can destroy PFAS are urgently sought for. As multiple carbon-fluorine bonds render many conventional destruction processes ineffective, advanced oxidation-based treatment methods are some of the very promising methods for the destruction of PFAS in contaminated environmental matrices. Nevertheless, if effective oxidation-based treatment methods are to be developed, it is essential to know all the transformations PFAS can undergo during oxidation. This thesis focused on PFAS oxidation with and without the addition of external oxidants divided into two studies. The first study focused on the non-additive oxidation and degradation of perfluorooctanoic acid (PFOA) using nonthermal plasma, and the second on the additive oxidation of unknown PFAS using persulfate-based total oxidizable precursor assay.The first study was centered on plasma-based water treatment of perfluorooctanoic acid, which relies on only an electrical discharge to convert water and gas molecules to a mixture of highly reactive oxidative species. The objective was to achieve a complete mass balance of PFOA after treatment by performing a total fluorine mass balance analysis. A 16 μM PFOA solution was treated with a nonthermal plasma generated in nanosecond long pulses. After 30 min of treatment, a 42% reduction in PFOA concentration was achieved. The degradation of PFOA also led to the generation of shorter chain perfluorocarboxylic acids. Specifically, 0.08 μM of perfluorobutanoic acid, 0.2 μM of perfluoropentanoic acid, 0.5 μM of perfluorohexanoic acid, 1.5 μM of perfluoroheptanoic acid and 9.1 μM of free fluoride ions were produced. Total fluorine mass balance analysis using combustion ion chromatography suggested that in addition to the measured degradation products, other unmeasured compounds possibly such as gaseous fluorinated products, trifluoroacetic acid, and perfluoropropionic acid were also produced. In the second study, conventional uses of persulfate oxidation process, which degrades selected PFAS under very restrictive conditions, was repurposed for the measurement of many unidentifiable PFAS, through the total oxidizable precursor assay. The study was aimed at investigating how the presence of co-contaminants affects PFAA precursor oxidation and finding solutions to improve precursor oxidation during the assay. Seventy aqueous film-forming foam impacted groundwater samples received from Environment and Climate Change Canada were subjected to the assay. Initial analysis of the groundwater samples showed a diverse range of PFAS levels with the maximum sum of concentrations measured to be 2.33 mg/L, and several PFAA precursors were detected. The results after oxidation showed a direct correlation between matrix complexities (i.e. the presence of co-contaminants) and the extent of PFAA precursor oxidation. There was incomplete oxidation of PFAA precursors in samples with a high concentration of co-contaminants. The implementation of a previously developed clean-up procedure improved precursor oxidation during TOP assay by an average of +52%.To further investigate how the presence of co-contaminants affect PFAA precursor oxidation during the TOP assay, mixtures of 6:2 FTSA or 6:2 FTAB and natural organic matter were prepared respectively. Only at low and intermediate COD levels of no more than 230 mgO2/L, 100% loss of the precursors can be largely accounted for by the generation of C3-C7 PFCAs. The results showed that the presence of co-contaminants in TOP assay not only affects the oxidation loss of precursors but also the type of products generated

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.034
GPT teacher head0.247
Teacher spread0.212 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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