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Record W7064519918

Biodegradation of Perfluorocarboxylic Acid in Landfill Leachate

2024· other· en· W7064519918 on OpenAlexafffund

Bibliographic record

VenueYork University Digital Library (York University) · 2024
Typeother
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsYork University
FundersUniversity of TorontoYork University
KeywordsLeachateBiodegradationChemical oxygen demandDegradation (telecommunications)ContaminationMicrobial biodegradation
DOInot available

Abstract

fetched live from OpenAlex

Long-chain perfluoro carboxylic acids (LC-PFCAs), a subset of perfluorochemicals (PFCs), were identified in landfill leachate during the sampling period from June 2022 to July 2023. In this thesis, the exclusive focus is on the chemical degradation of PFCAs, omitting biological degradation experiments due to their persistent nature. The leachate analysis revealed a seasonal fluctuation in its chemical characteristics including nitrogen, phosphate, alkalinity, pH, and chemical oxygen demand (COD). Interestingly, the selected C9 and C10 LC-PFCAs were consistently present in the leachate but did not show any significant seasonal variation. Concentrations of LC-PFCAs ranged from 100 ng/L to 800 ng/L. To assess the biodegradability of C9 and C10 PFCA in the leachate using native microorganisms, a bench-scale experiment was conducted. The microbial community exhibited biphasic growth when exposed to the specified PFCAs (10-100 mg/L) for 6 days. Notably, the C9 and C10 PFCAs displayed a biodegradation efficiency of up to 58% within this 6-day period.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.086
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0550.000

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 head0.008
GPT teacher head0.170
Teacher spread0.162 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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
Published2024
Admission routes2
Has abstractyes

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