Pyrolysed powdered mussel shells for eutrophication control: effect of particle size and powder concentration on the mechanism and extent of phosphate removal
Bibliographic record
Abstract
Abstract The international shellfish farming industry has a growing problem with respect to sustainability: the shells, a by‐product, are currently being mostly wasted to landfill. Instead, this calcium‐rich resource can be used to produce lime [calcium oxide (CaO)] and then used to remove phosphate from rural wastewaters. Powdered mussel shell was heat treated to form lime. Two different shell particle sizes (fine, 53–106 µm; coarse, 212–250 µm) as well as various pyrolysis times, heating rates, pyrolysis temperatures and shell concentrations were used to determine the effects of these parameters on the lime formation and subsequent phosphate removal from a synthetic wastewater. Furthermore, the mechanisms of phosphate removal were determined by quantifying the phosphate content in all components before and after reaction with the synthetic wastewater. It was found that with excess of partially calcined pyrolysed shells, at a concentration of 5 g l−1, more than 95% phosphate removal was achieved, irrespective of particle size or pyrolysis conditions. When using optimally heat‐treated shells (particle size: 53–106 µm, pyrolysed for 1 h at 750 °C), it was possible to achieve over 90% phosphate removal using just 196 mg l−1 of shell. For the pyrolysed shells, the main mechanisms of phosphate removal were homogeneous nucleation to form a suspended precipitate, as well as adsorption and heterogeneous precipitation on the surface of the remaining calcite shell particles. Copyright © 2010 Curtin University of Technology and John Wiley & Sons, Ltd.
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 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) | 0.000 | 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".