Isolation of Cyanobacteria from water sample and study of its efficiency to degrade Organophosphorus Pesticide Malathion.
Bibliographic record
Abstract
This research focuses on the phycoremediation potential of cyanobacteria in degrading the organophosphorous pesticide malathion. Cyanobacterial strains isolated from water samples obtained from paddy field were cultivated using BG11 and Pringsheim’s media. The study has three main objectives. Firstly, it investigates the impact of malathion on the growth of selected cyanobacterial strains, analyzing growth patterns over an 8-10 week period. Secondly, it examines the ability of cyanobacteria to utilize malathion as a phosphorous source, offering insights into their potential role in phosphorous pollution mitigation. Lastly, the research quantifies changes in phosphorous and pesticide residue levels within the culture media, providing a comprehensive understanding of nutrient dynamics during the incubation period. This research contributes to the field of phycoremediation by elucidating the interactions between cyanobacteria and malathion. The findings hold relevance for environmental scientist and ecologists involved in the sustainable management of pesticide-contaminated aquatic ecosystems.
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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 | 0.001 |
| 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".