Pretreatment for anaerobic blackwater treatment: ultrasonication and thermal hydrolysis
Bibliographic record
Abstract
Anaerobic digestion of blackwater converts waste to energy. However, due to a low hydrolysis rate, the hydraulic retention time of a digester can be several days. Here, ultrasonication (30 min) and thermal hydrolysis (at 160°C for 30 min and 2 h) were tested as a pretreatment for accelerating the hydrolysis step. Pretreatment of blackwater with ultrasonication (30 min) and thermal hydrolysis (at 160°C for 30 min) increased the ammonia nitrogen (NH 4 -N) concentration in the blackwater from 1·16 to 1·46 and 1·51 g/l, respectively. Ultrasonication (30 min) enhanced the biological methane potential of blackwater from 0·48 to 0·62. Although thermal hydrolysis at 160°C for 2 h increased the soluble chemical oxygen demand concentration from 3·0 to 3·6 g/l, this process did not improve biological methane potential.
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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".