Effect of Hydrothermal Pre-treatment on Production of Volatile Fatty Acids from Thickened Waste Activated Sludge using Semi-continuous Fermentation
Bibliographic record
Abstract
The research project focuses on the effect of hydro-thermal pre-treatment of the thickened waste activated sludge (TWAS). Reducing the amount of waste generated by the process called anaerobic digestion (AD) includes the benefits of low cost and supplies source of renewable energy. Fermentation is the first part of AD where volatile fatty acids (VFAs) are produced. In this study hydro-thermal pre-treatment was conducted before the fermentation process to enhance the production of VFAs from TWAS. The study is a comparison between the pre treated sludge and raw sludge using Semi-continuous fermentation for 40 days with hydraulic retention time of 3 days. TWAS was pre-treated at 170○C for 30 min at the pressure 3 bar before the semi-continuous fermentation process, and compared with the raw sample performance. It was found that the amount of VFAs produced from the pre-treated sludge were 26 % higher than that one from the raw sludge. Also, the chemical oxygen demand (COD) solubilisation for the hydrothermally pre-treated sample was higher than that of raw sludge.
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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) | 0.001 | 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".