Relative rates and mechanisms of biodegradation of diester plasticizers mediated by <i>Rhodococcus rhodochrous</i>
Bibliographic record
Abstract
Abstract Di‐ester plasticizers undergo slow degradation resulting in the release of recalcitrant, toxic metabolites in the environment. It is demonstrated here that the first and rate‐limiting step in their co‐metabolism by Rhodococcus rhodochrous is the hydrolysis of one ester bond. This mechanism is different than one proposed earlier for direct biodegradation of di‐2‐ethylhexyl phthalate. Also, using butyl butyrate as a reference compound to compare the relative rates of hydrolysis of different di‐ester plasticizers, biodegradation rates were found to be strongly influenced by steric hindrances and solubility. Esterase activity associated with the hydrolysis of these bonds was located in the envelope of the bacterial cell. The esterase activity was not induced by specific substrates and was detected at all stages of growth. These considerations are important for the hydrolysis of recalcitrant plasticizers by a process of co‐metabolism, which leads to a slow but steady overall rate of biodegradation. This suggests that as the growing reservoir of plasticizers in the environment slowly undergoes biotransformation, recalcitrant toxic metabolites will be continuously released.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".