1,1,1-Trichloroethane and 1,1-Dichloroethane Reductive Dechlorination Kinetics and Co-Contaminant Effects in a <i>Dehalobacter</i>-Containing Mixed Culture
Bibliographic record
Abstract
1,1,1-Trichloroethane (1,1,1-TCA) is a common groundwater contaminant that can be reductively dechlorinated to 1,1-dichloroethane (1,1-DCA) and monochloroethane, and can support the growth of certain dehalorespiring strains of Dehalobacter We used reductive dehalogenase cell-free extract assays (with reduced methyl viologen) and whole cell suspension dechlorination assays (with hydrogen) and a Dehalobacter-containing enrichment culture to explore the kinetics of l,1,1-TCA and 1,1-DCA reductive dechlorination in the presence of the common co-contaminants trichloroethene (TCE), cis-dichloroethene (cDCE), and vinyl chloride (VC). These chlorinated ethenes were most significant inhibitors of 1,1,1-TCA dechlorination in cell-free extracts, indicating direct effects on the reductive dehalogenase enzyme(s). The inhibition was present but less pronounced in whole cell suspension assays. None of the chlorinated ethenes inhibited 1,1-DCA dechlorination in cell-free extract assays, yet cDCE and particularly VC were inhibitors in whole cell assays, indicating an effect on Dehalobacter, but not on the dehalogenase enzyme(s). Marked differences in kinetic parameters for 1,1,1-TCA and 1,1-DCA, and an uncoupling of these two activities in cultures grown on 1,1-DCA compared to those grown on 1,1,1-TCA was strong evidence for the existence of distinct 1,1,1-TCA and 1,1-DCA reductive dehalogenase enzymes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".