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Record W1982512865 · doi:10.1139/s04-038

Long-term tetrachlorethene degradation sustained by endogenous cell decay

2005· article· en· W1982512865 on OpenAlexvenueno aff
Brent E. Sleep, Andrea J. Brown, Barbara Sherwood Lollar

Bibliographic record

VenueJournal of Environmental Engineering and Science · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicMicrobial bioremediation and biosurfactants
Canadian institutionsnot available
Fundersnot available
KeywordsReductive dechlorinationMicrocosmVinyl chlorideChemistryBiodegradationChlorideDegradation (telecommunications)DehalococcoidesEthanolEndogenyTrichloroethyleneBioremediationEnvironmental chemistryContaminationBiochemistryOrganic chemistryBiologyEcology

Abstract

fetched live from OpenAlex

The role of endogenous decay in the reductive dechlorination of tetrachlorethene (PCE) was studied in a sand column containing an anaerobic microbial consortium that included Dehalococcoides ethenogenes. The column consortium had continuously transformed PCE to vinyl chloride (<5%) and ethene (>95%) with the addition of ethanol and yeast extract for a 3 year period. The column was operated for a further period of 1 year with the addition of 60 µM PCE only. In the absence of external electron donors, PCE dechlorination in the column initially slowed but continued at a relatively constant rate for 1 year. The conversion to vinyl chloride (VC) and ethene (ETH) was significantly reduced with cis-dichloroethylene (cis-DCE) becoming the major (90%) end product of dechlorination. Microcosm studies, with no external electron donor added, indicated that reductive dechlorination was sustained by reducing equivalents derived from endogenous decay products. Measures of cellular adenosine triphosphate (ATP) along the length of the column indicated that even after 1 year of only PCE addition, an active biological community was sustained. Key words: tetrachloroethene (PCE), ethanol, anaerobic biodegradation, endogenous decay, column study.

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 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 score0.107
Threshold uncertainty score0.478

Codex and Gemma teacher scores by category

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 integrity0.0000.000
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 head0.005
GPT teacher head0.176
Teacher spread0.170 · 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.

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

Citations30
Published2005
Admission routes1
Has abstractyes

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