Isolation Of Bacterial Strains And Production of Enzymes For Biodegradation of Biomedical Cotton Waste
Bibliographic record
Abstract
In recent times, biodegradation of used hospital cotton by using the bacterial strain is a promising and interesting field attracting worldwide researchers. It was observed that biodegradation of biomedical waste like cotton etc., is becoming a huge problem for both developed as well as developing countries. To overcome this problem, bacterial species were isolated using serial dilution and agar plating methods from different soil sources. Pure colony or single colony was isolated by the streak plate method. The bacterial species were identified with the help of various physical characteristics, staining, and biochemical activities. Strain improvement was done by UV and EtBr to know the best culture for amylase production. Purification of the crude amylase was done by dialysis, and its activity was calculated by DNS assay. Protein concentration was measured by Lowery’s method. The purified enzyme was characterized for the effect of temperature, pH, activator, and inhibitors. The bacterial colonies were isolated and named as IS2015 01 to IS2015 16, the total enzyme activity of the purified enzyme was calculated to be 0.96 mg/ml, and the amount of protein in the purified sample was calculated to be 1.47 mg/ml. Amylase purified here was found stable in a pH range of 7 - 9 and temperature range of 28°C - 37°C. The activity was found to be enhanced under the influence of cations such as Ca2+, Mg2+ and retarded under the influence of anions such as EDTA and SDS. The isolated bacterial strain and enzyme were found effective in degrading the biomedical cotton waste. In conclusion, the isolated bacterial strain and enzyme may be effectively used to degrade the biomedical cotton.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".