Carbon Isotopic Fractionation during Aerobic Vinyl Chloride Degradation
Bibliographic record
Abstract
Vinyl chloride (VC) is a carcinogenic contaminant commonly found in groundwater. Much research has focused on anaerobic reductive dechlorination of VC, and recently on aerobic VC degradation. In this study, the stable carbon isotope enrichment factor associated with aerobic VC assimilation was determined for Mycobacterium sp. strains JS60, JS61, and JS617 and Nocardioides sp. strain JS614. The enrichment factors ranged from -8.2+/-0.1 to -7.0+/-0.3 % and did not change as a function of biomass concentration. The measured enrichment factors for aerobic VC degradation were smaller than those reported for anaerobic VC degradation. Enrichment factors can also be expressed in terms of kinetic isotope effects (KIEs), 12k/13k, which result from the difference in reaction rates of bonds containing light and heavy isotopes. The KIEs for aerobic VC degradation (1.01+/-0.001) were smaller than those for anaerobic VC degradation (1.03+/-0.007). From the perspective of bond breakage during a chemical reaction, the larger KIE associated with anaerobic VC degradation as compared to aerobic VC degradation agrees with KIE theory. This theory predicts that larger fractionations can be expected in reactions where heavier atoms are involved (i.e., C-Cl bond for anaerobic versus C=C for aerobic) and in reactions involving large changes in vibrational frequencies of the molecule between its ground state and transition state (i.e., C-Cl cleavage versus C=C epoxidation). The significant fractionation observed during aerobic VC degradation suggests that stable carbon isotope measurements may be used as a tool to distinguish between biodegraded and nonbiodegraded VC.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| 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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 source (direct Gemma or distilled Codex), 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".