Degradation of polycyclic aromatic hydrocarbons dissolved in Tween 80 surfactant solutions by<i>Sphingomonas paucimobilis</i>EPA 505
Bibliographic record
Abstract
The degradation rates of mixtures of pyrene (PYR), fluoranthene (FLA), and phenanthrene (PHE) by Sphingomonas paucimobilis EPA 505 were measured in the presence of the nonionic surfactant Tween 80. For strain EPA 505, FLA and PHE are growth substrates, while PYR is not. Linear degradation rates ranging from 0.05 to 2.2 mg x L(-1) x h(-1) were observed for FLA, PYR, and PHE at approximately 10(7) colony-forming units (CFU)/mL. At lower biomass, PYR degradation exhibited lognormal degradation. The degradation rates of PYR, FLA, and PHE increased with increasing biomass and substrate concentration. At high FLA concentrations, FLA degradation rates were faster in the presence of surfactant than in the absence of surfactant, suggesting that some of the FLA was transported directly into the cell from the micellar phase. In mixtures, PHE was the preferred substrate and was utilized first, followed by FLA and then PYR. Once the competing substrates were degraded, the remaining substrate was degraded at the same rate or faster than the rate found in the single-substrate system. Based on the results with Tween 80, it appears that PHE, PYR, and FLA are competing for the same enzymatic sites.
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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) | 0.001 | 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".