Photodegradation Driven by Visible Light Exceeds Biodegradation across a Range of Environmental Conditions during the Initial Hours after an Oil Spill
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide Degradation of oil compounds, mediated by microbes or abiotic factors, after a spill into aquatic environments is important for ecosystem recovery; however, factors controlling these processes in natural waters remain poorly characterized. Six experiments representing a range of environmental conditions measured the loss of n -alkanes and polycyclic aromatic compounds (PACs) from a crude oil over 72 h due to biodegradation and abiotic processes when exposed to visible light. On average, 22.8% (±12.6) of n -alkanes and 32.7% (±14.0) of PACs were removed in the live incubations compared to 19.1% (±19.3) of n -alkanes and 31.7% (±12.3) of PACs when microbial activity was inhibited by the addition of mercuric chloride. Substantial biodegradation was only observed in the warm, freshwater incubation. Additional experiments determined that most of the abiotic degradation could be attributed to photodegradation mediated by visible light. No clear link was observed between the environmental conditions and abiotic losses of oil compounds, indicating complex interactions between light, photosensitizers, and organisms. These experiments demonstrate that a significant proportion of the n -alkanes and PACs may be removed from a surface oil spill through photodegradation mediated by both visible and UV light, along with biodegradation, within a few days.
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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".