Phosphorus Recovery From Wastewater Through Anaerobic Digestion Under Sub‐Supersaturation Conditions
Bibliographic record
Abstract
Unlike conventional phosphorus (P) recovery methods that rely on high P concentrations and/or chemical additives, this study presents a cost-effective approach for inducing the precipitation of phosphate salts by utilizing carefully selected feedstocks and optimal operating conditions. To test the feasibility of this approach, three 1.0-L upflow anaerobic sludge blanket (UASB) reactors were operated, fed with three types of synthetic feeds, consisting of glucose + sodium acetate (NaAc), glucose + bovine serum albumin (BSA), and glucose + urea as the organic matter sources. All the organic compounds, including NaAc, BSA, and urea, which underwent hydrolysis to release hydroxyl ions, successfully created a favorable environment for the precipitation of P products like struvite and calcium phosphate under sub-supersaturation conditions. This study offers new perspectives on recovering P from waste streams with relatively low P concentrations.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.007 |
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; both teacher heads agree on what is shown here.
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".