Concurrent and Complete Anaerobic Reduction and Microaerophilic Degradation of Mono‐, Di‐, and Trichlorobenzenes
Bibliographic record
Abstract
Abstract Bio‐Trap®–based in situ microcosm studies were conducted to evaluate EHC‐M® stimulated degradation of mono‐, di‐, and trichlorobenzenes in anaerobic groundwater at a site in Michigan. The data show that the EHC‐M® amendment stimulated an overall increase in microbial activity and a shift in the microbial community structure, indicating more reduced conditions. Stable isotope probing with 13C6‐chlorobenzene demonstrated attenuation of chlorobenzene and subsequent separation and characterization of the 12C‐ and 13C‐deoxyribonucleic acid (DNA) fractions were used to identify the attenuating microbes. These data clearly show the participation of an obligate aerobe in the chlorobenzene biodegradation process. Decreases in concentrations of trichlorobenzenes were also observed in comparison to a control. Due to the thermodynamically favorable reducing conditions stimulated by EHC‐M®, the mechanism of degradation of the trichlorobenzenes is presumed to be reductive dehalogenation. However, on the strength of the DNA‐based analysis of microbial community structure, concurrent microaerophilic degradation of chlorobenzene or its metabolites was definitively demonstrated and cannot be ruled out for the other chlorobenzenes. © 2013 Wiley Periodicals, Inc.
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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) | 0.001 | 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".