Transport and Reaction Processes in Bioremediation of Organic Contaminants. 1. Review of Bacterial Degradation and Transport
Bibliographic record
Abstract
Bioremediation of contaminants in soil and water involves a complex interplay between transport processes and biological reactions. Equilibrium physical factors such as aqueous solubility, soil adsorption, and phase partitioning indicate the transport processes that can limit bioremediation, namely the rates of interfacial transport and availability of contaminants to microbes. The physical properties of hydrophobic contaminants and the properties of biological membranes can be considered simultaneously by constructing a simple model for flux across from the aqueous phase to the cell interior. This simple model helps to reconcile the observed maximum biodegradation rates of different priority pollutants. This flux model for bioremediation suggests that the inhibition of biotransformation by alkyl substitution of aromatics may be due to transport kinetics rather than steric hindrance at the active enzymes. This report links the solubility of contaminants to the kinetics of transport across cell membranes, and thus suggests a mechanism which can control the overall activity of bioremediation processes for complex mixtures of contaminants.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".