Estimation of Exopolysaccharides (EPS) Producing Ability of Cr (VI) Resistant Bacterial Strains from Tannery Effluent
Bibliographic record
Abstract
Chromium is a known heavy metal and recognized as a carcinogen to the biological systems. Previously isolated Cr (VI) resistant Exiguobacterium UE1 and UE4 were used in this study. These strains were analysed for exopolysaccharides (EPS) production for the remediation of Cr (VI) contaminated soils. Both the strains could tolerate about 250µg/ml of Cr (VI) stress. Strain UE1 showed 100% Cr (VI) removal whereas UE4 reduced 99.2% at an initial concentration of K2CrO4 100µgml-1. Optimum growth was observed at 37ºC and pH 7 for both strains. Strains exhibited significant EPS production under Cr (VI) stress and non-stress conditions. However, UE1 showed increased production of released as well as loosely bound EPS (0.36g/100ml and 0.152g/100ml respectively) under Cr (VI) supplemented condition. Thin Layer Chromatography (TLC) technique confirmed the presence of sugars in EPS samples after hydrolysis. Fourier Transforms Infrared Spectroscopy (FTIR) analysis showed the involvement of various functional groups such as hydroxyl group and aromatic compounds in the binding of Cr (VI) ions to the EPS. These findings suggest that strains UE1 and UE4 isolated from local tanneries of Pakistan can be used for remediation of Cr (VI) pollutes soils.
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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) | 0.000 | 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".