Effect of Thermal Hydrolysis Pretreatment on Solubilization of Primary Sludge and Thickened Waste Activated Sludge (TWAS) During Dark Fermentation Process
Bibliographic record
Abstract
The objective of this research was to evaluate the effect of thermal hydrolysis pre-treatment on the solubilization of primary sludge (PS) and thickened waste activated sludge (TWAS) through the semi-continuous fermentation process under the mesophilic conditions. For this measure, the inoculum (anaerobic digestate), Primary Sludge (PS) and Thickened waste activated Sludge (TWAS) was subjected to the pre-treatment condition. The pre-treatment temperature ranged from 20°C to170°C. Then both raw and pre-treated sample was introduced the semi-continuous reactors for the fermentation process. The degree of solubilization was achieved 18% for raw (unpretreated sample) and 38% for the pre-treated sample. Moreover, the volatile suspended solids (VSS) reduction rate for the raw and pre-treated sample was 24% and 50% respectively. Additionally, the soluble COD production yield for the raw and pre-treated sample was obtained 247 mg COD/g VSS and 544 mg COD/g VSS correspondingly. Keywords: Fermentation process, Anaerobic digestion, Thermal hydrolysis pretreatment.
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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".