Recovering Phosphorus from Human Urine by Electrochemical Precipitation Using Magnesium Alloy Tailings as Electrodes: Lab Scale and Pilot Scale Studies
Bibliographic record
Abstract
This study explored the recovery of phosphorus from human urine via electrochemical precipitation, employing magnesium alloy tailings as electrodes. The observed pH change during the process was primarily attributed to ammonium precipitation. However, the hydroxide produced by the cathode could potentially have a negative effect. There was a strong correlation between the amount of precipitate produced and pH, which can serve as a useful parameter for monitoring the effectiveness of the treatment. However, electrode corrosion significantly influenced the purity of the resultant struvite product. To counteract this, a device was designed to separate struvite from the electrode corrosion products using fluid flow, which led to an increase in purity. The pilot-scale application of magnesium electrodes proved to be an effective method for phosphorus recovery, achieving a high removal rate through adjustments to the residence time and current density. However, the limited source of wastewater resulted in a struvite production value that was considerably below the maintenance costs. Hence, the economic feasibility of this process necessitates further enhancement.
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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 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".