In situ synthesis of ferrate based on calcium hypochlorite for organic matter removal
Bibliographic record
Abstract
Ferrate is a promising environment-friendly water-treatment agent due to its multiple function. However, its large-scale application in sewage treatment is limited because of its instability in aqueous solution and the high cost of pure ferrate. This study demonstrated an improved wet oxidation process for synthesising ferrate by oxidising ferric with calcium hypochlorite (Ca(ClO) 2 ). The effects of reagent dosage and temperature on ferrate (VI) were investigated. The optimum conditions for ferrate (VI) synthesis was obtained (1 g of calcium hypochlorite, 5 g of sodium hydroxide (NaOH) and 4 g of iron (III) chloride (FeCl 3 ) in 25 ml of water at 20°C and stirring for 30 min). Under the optimum conditions, the available chlorine and sodium hydroxide amount was about one-fifth and one-half of that of traditional sodium hypochlorite oxidation, respectively. The product was characterised by ultraviolet–visible spectroscopy and X-ray photoelectron spectroscopy. It was concluded that ferrate was present in the generated ferrate solution. Low-temperature, airtight and shading conditions and the addition of sodium silicate are conducive to the preservation of fresh ferrate. At pH 5.0, fresh ferrate could effectively remove methylene blue (MB) and chlorpyrifos in water, and the average removal rate of MB or chlorpyrifos was about 55% higher than that by pure ferrate.
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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".