Degradation of isoproturon in vitro by a mix of bacterial strains isolated from arable soil
Bibliographic record
Abstract
Isoproturon (IPU) is widely used to control annual grasses and broad leaf weeds in cereal crops. In this study, four IPU-degrading bacterial strains, i.e., Sphingomonas sp. ISP1, Arthrobacter sp. ISP2, Acinetobacter baumannii 4IA, and Pseudomonas sp. ISP3, were isolated from agricultural soil. The mixed culture of four isolates completely degraded the herbicide at 100 mg/L within 10 days. During IPU degradation, several transient accumulations of the metabolites, including 3-(4-isopropylphenyl)-1-methylurea, 3-(4-isopropylphenyl)-urea, 4-isopropylaniline, and 4-toluidine, were also identified. Moreover, the inoculation of the isolated mixed culture into the soil from a mountain with no previous herbicide application increased the degradation rate by 51% of the herbicide on average. Furthermore, bioaugmentation with isolated bacteria in the soil resulted in short-term variations in bacterial structure compared to the unaugmented soil. The findings of this study were instrumental in understanding the mechanisms of pesticide breakdown and bioremediation in liquid media and soil.
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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".