Characterization of iron Bacterium Gallionella ferruginea isolated from the drinking water of the collector wells in Northern Sri Lanka
Bibliographic record
Abstract
The objective of the study was to isolate, identify and characterize the organism/s responsible for the brownish slime colour and bad odour of the water from the collector wells at Vallipuram area of the Northern Sri Lanka. The iron concentrations in the collector well samples that are free of fecal coliform bacteria, varied from 0.093 to 0.307 mg.l -1 during the day time. Based on the microscopic biochemical and molecular characterization, the bacterial strain isolated from the collector wells was identified as Gallionella ferruginea. They are gram negative kidney- shaped mycoplasmodial bodies found in clusters. The colonial growth was powdery, opaque and flat in elevation. The biochemical characterization showed the positive interpretation for indole and catalase tests while methyl red, citrate, Voges-Proskaeur, urease production, nitrate reduction, tyrosine utilization, acetoin production and oxidase tests showed negative. The bacteria were capable of fermenting glucose with the production of acid in anaerobic condition, but not in aerobic condition thus confirmed as Gallionella ferruginea. This bacterial strain grew well in iron added liquid media at temperatures between 25-40 o C and the optimum growth was observed at 35 o C. Though Gallionella grew well at a broad range pH values between 6.0-10.0, the optimum
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 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".