A Biological Process that Reduces Metals in Municipal Sludge to Yield Sulphur Enhanced Biosolids
Bibliographic record
Abstract
Heavy metal contamination can often restrict or prohibit land application of municipal sludge. In the present investigation a continuous biological process with powdered elemental sulphur as energy source was examined for solubilization of metals from anaerobically digested municipal sludge. The results showed that the continuous process can be designed to achieve both metal solubilization and efficient sulphur utilization. With a sulphur addition of 1.5 g l(-1) and an HRT of 14 days, solubilization efficiencies of 50, 33, 48, and 74% were obtained for cadmium, copper, nickel, and zinc, and about 80% of the added sulphur was oxidized. Addition of ferrous sulphate as an additional energy source did not improve the performance of the process. The residual sulphur in the metal decontaminated biosolids was in balance with the phosphorus content, potentially making it an effective sulphur fertilizer for soils deficient in the nutrient.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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; both teacher heads agree on what is shown here.
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".