Sorption and metabolism of selected herbicides in river biofilm communities
Bibliographic record
Abstract
In the present study, biofilms were grown in rotating annular bioreactors with river water as inoculum and sole source of nutrients. The herbicides atrazine and diclofop methyl were applied to the bioreactors, while an identical reactor acted as a control. Biofilm structure was visualized using specific fluorescent probes in conjunction with confocal laser scanning microscopy. The concentration of both herbicides in the bulk water phase followed the pattern of application. Atrazine and metabolites were detected in biofilm samples using direct insertion probe tandem mass spectrometry (DIP-MS/MS) and only trace levels were detected after the addition phase. Monoclonal antibody (MAb) studies indicated that sorption of atrazine was associated with a unique microcolony type. In contrast, diclofop and metabolites reached a maximum level in the biofilm at the end of the addition phase and persisted in the biofilm. Experiments with 14C-labeled atrazine and diclofop methyl indicated that mineralization of these compounds to CO2 (<1%) occurred in the river biofilms. Thus, both herbicides were sorbed and metabolized by the river biofilm community and detected in biofilms when they were not detected in the bulk water phase. These results indicate that biofilms and specific community members may act as a sink for herbicides, and that this should be taken into account in terms of both sampling and studies of the environmental chemodynamics of contaminants.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".