Effect of hydrogen peroxide on radiofrequency-oxidation of dairy manure
Bibliographic record
Abstract
A novel technology involving a combination of radiofrequency (RF) heating and hydrogen peroxide (H2O2) addition was used to treat dairy manure as a part of a manure management and resource recovery scheme; the process was to release nutrients and to disintegrate dairy manure for subsequent struvite crystallisation process and/or anaerobic digestion. The factors affecting the process, namely, H2O2 dosage, heating time and radiofrequency temperature, were studied using a surface response design methodology. The results indicated that solids disintegration efficiency in terms of soluble chemical oxidation demand concentration in the treated solution was in a range of 15–18% of total chemical oxygen demand. Very high volatile fatty acid concentrations were also produced. Orthophosphate (ortho-P) concentrations were in the range of 36–52% of total phosphorus in the treated solution. The optimal operating conditions for both solids disintegration and ortho-P release were predicted to be RF temperature of 83°C, holding time of 55–60 min and H2O2 dose of 1.7–1.8%.
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 | 0.000 |
| 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 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".