Evaluation of Performance and Stability of a Gel-Type Polymer Sorbent for Recovery of Phosphate from Waste Streams
Bibliographic record
Abstract
Phosphorus (P) fertilizer is an essential component of our food system with the majority of all mined P rock processed to make mineral fertilizers. Globally however P rock stocks are declining-both in quality and quantity-with poor P management creating a linear economic system where P is mined, globally redistributed into products and eventually discharged into the environment leading to eutrophication. To enable establishment of a circular P economy, whereby P can be recovered from waste for its industrial reuse, requires the development of effective P recovery technologies. Adsorption via anion exchange is a promising technology for P recovery from waste streams; however, in many cases, the regeneration of the sorbent used (to allow for its subsequent reuse) has not been extensively investigated. We now describe a gel-type anion exchange polymer composed of vinyl benzyl chloride, hydroxypropyl methacrylate, and ethylene glycol dimethacrylate synthesized via suspension polymerization. The obtained material was modified to introduce a quaternary ammonium functionality, characterized, and tested for phosphate capture, in the presence of competing anions and from wastewater samples. Fixed-bed experiments were conducted using monobasic phosphate as adsorbate to test polymer performance, and its stability upon repeated adsorption/desorption cycles was investigated by solid-state NMR, revealing that no degradation or loss of P binding performance across 50 regeneration cycles. Excellent polymer performance in the recovery of P from wastewater was also demonstrated.
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 | 0.001 |
| 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 | 0.001 | 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".