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Record W2262872451 · doi:10.11575/prism/24731

Aerobic and Anaerobic Naphthenic Acid Biodegradation by Indigenous Tailings Pond Microorganisms

2014· dissertation· en· W2262872451 on OpenAlexaboutno aff
Lindsay Clothier

Bibliographic record

VenuePRISM (University of Calgary) · 2014
Typedissertation
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsNaphthenic acidTailingsBiodegradationAnaerobic exerciseMicroorganismEnvironmental scienceWaste managementChemistryEcologyEngineeringBiologyBacteria

Abstract

fetched live from OpenAlex

Surface mining of bitumen extraction from Alberta’s oil sands generates large volumes of oil sands process-affected water (OSPW) that is stored in tailings ponds. Naphthenic acids (NAs) are toxic, corrosive, and complex, cyclic carboxylic acids that accumulate in tailings ponds over time and must be removed for effective reclamation. This work has examined microbial NA biodegradation under aerobic and anaerobic conditions as a possible approach for reclamation. Phosphate stimulation of oxic OSPW resulted in growth of algae (Scenedesmus, Chlorella) and bacteria (Porphyrobacter, Planctomyces) capable of biodegrading low molecular weight NAs resulting in small decreases in acute toxicity. Several new NA-biodegrading bacteria were isolated from OSPW and identified. Additionally, this work has now shown that NA can be biodegraded under nitrate-, iron-, sulfate-reducing and methanogenic conditions and has identified microbial community members likely contributing to NA biodegradation. These findings show that the use of microorganisms for NA remediation may be possible.

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)
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 score0.191
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.004
GPT teacher head0.180
Teacher spread0.176 · 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 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

Citations1
Published2014
Admission routes1
Has abstractyes

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