Enhanced phenol degradation and responses of suspended/attached microbial communities in alternating current bioelectrochemical reactor
Bibliographic record
Abstract
The effects of alternating current (AC) stimulation on phenol biodegradation and the response of microbial communities with distinct morphologies remain unclear. In batch test, the maximum ratio of biodegradation rate constant value was about 7.38±1.35-fold for 10 Hz 0.4 V, at a phenol concentration of 800 mg/L, and the biomass of suspended microbes at 10 Hz 0.4 V condition increased by an average of 31.79%, the abundance of Rhodanobacter , Leifsonia were enriched. In continuous test, the optimal condition for AC stimulation was 10 Hz 0.4 V, and compared with non-electrified group, the average removal of phenol increased by 32.52% at a phenol influent concentration of 1000 mg/L, and the biomass increased by 111.07%. Special microbes related with genera of Rhodobacter, Comamonas were distinctively enriched. According to the metagenomic sequencing, the expression of DNA-guided RNA polymerase , RNA helicase , and DNA helicase were incremental with the proper AC stimulation, which positively correlated with phenol biodegradation rate. This study provides new insight into the enhanced aerobic biodegradation of phenol using AC stimulation. • AC stimulation enhanced aerobic phenol biodegradation rate • Different current frequencies caused changes in aerobic suspended and attached microbial biomass. • Functional microbes were enriched for degrading phenol under AC stimulation. • AC stimulation enriched genes encoding key enzymes for phenol metabolism.
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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".