New technology to recover phosphorus from wastewater within the Circular Economy : a Scottish case study
Bibliographic record
Abstract
Phosphorus (P) recovery from wastewater will become increasingly vital in the future in terms of the protection of valuable freshwater resources (i.e., from eutrophication) and due to rapidly dwindling terrestrial rock phosphate stocks [1]. The Environmental Research Institute (ERI) has been developing the FILTRAFLOTM-P reactor (with Veolia Water Technologies) to recover P from final effluent through a filtration/adsorption process (Phos4You Project - INTERREG VB North-West Europe). This small unit employs enhanced gravitational filtration through adsorption media (here, a novel KOH deacetylated crab carapace-based chitosan-calcite adsorbent (CCM)) with continuous self-backwashing [2]. A six-week pilot trial of this technology was carried out at the Scottish Water Horizons Development Centre at Bo’ness. High P recovery potential was achieved even at low P concentrations, bringing the residual effluent P level below 1 mg/L (EU limit for sensitive water bodies). Surface microprecipitation and inner-sphere complexation were postulated as key P removal mechanism. The results showed that the FILTRAFLOTM-P unit with CCM could serve as a water polishing unit (with low P concentration effluents) and/or as a P harvesting unit (where P concentrations were high). The quality analysis of CCM indicated ~3% P2O5, trace levels (well below legislative limits) of heavy metals (i.e., Cu, Co) and organic pollutants (e.g., PCBs) and no detectable levels of target bacterial pathogens. A pot trial (at Ghent University) showed that the ryegrass plants treated with the CCM adsorbent achieved higher plant dry matter and P concentration compared to the unfertilised control.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".