Phosphorus adsorption by naturally-occurring materials and industrial by-products
Bibliographic record
Abstract
Low cost and effective phosphorus adsorbents are required for the treatment of small or decentralized wastewater systems. The goal of this study was to examine phosphorus adsorption on different low-cost media. Bone char and oven dried alum sludge had the highest Freundlich adsorption constants (Kd) of 1.031 and 0.484, respectively. Maximum adsorption density from the Langmuir isotherm plot was 0.674 mg P g–1 for oven dried alum sludge and 1.787 for air dried alum sludge. pH levels at equilibrium were close to 7 for various dried alum sludge. Experiments conducted at 16 g/L of adsorbent on secondary municipal wastewater showed that all types of dried alum sludge and bone char were the most effective adsorbents of phosphorus. pH levels for oven and air dried sludge were in the range of 6.5–7, whereas the blast furnace slag and cement kiln dust exceeded a pH of 9. Consequently further work was recommended for water plant residuals.Key words: phosphorus, adsorption, Freundlich, Langmuir, alum residual.
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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 | 0.001 |
| 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) | 0.001 | 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".