Evaluation of bioleaching process for the simultaneous reduction of metals and total coliform from sewage sludge
Bibliographic record
Abstract
Bioleaching has been proven to be a promising technology for removing heavy metals from the sewage sludge over many years. The main objective of this research is to evaluate the bioleaching process for the simultaneous reduction of three heavy metals - copper(Cu), cadmium(Cd), zinc(Zn) and total coliform from the sewage sludge of the Ashbridges Bay Treatment Plant (ABTP). Bioleaching was carried out with adapted activated sludge containing high concentration of iron oxidizing bacteria T. ferrooxidans using ferrous sulphate as a substrate without adjusting the sludge initial pH to about 4 with acid. The results demonstreated that simultaneous metal removal efficiencies of Cu, Zn were 70% and 74% for Cd respectively after 10 days of bioleaching. The final pH and ORP were found 2.44 and 533 respectively. After this research, it was also observed that the process of bioleaching by T. ferrooxidans is very efficient for the reduction of total coliform from the sludge. This proces allows a considerable reduction in total coliform (3-4 log removal) for the activated sludge examined over a 10 day period.
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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 | 0.001 | 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".