Optimization of Dry Anaerobic Digestion of Food Waste in Leachate Bed Reactors
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study investigates the optimization and performance of a single-stage leachate bed reactor (LBR) system for the dry anaerobic digestion (AD) of food waste (FW). Three different parameters were assessed in the LBR run at a reaction time of 10 days: the inoculum-to-substrate ratio (ISR), leachate recirculation rate, and type of inoculum. For ISR optimization, four different ISRs were investigated ranging between 10 and 60%. Results indicated that a higher ISR of 60% with an acclimated inoculum led to a 3.35-fold increase in cumulative methane yield compared to an ISR of 10%, while volatile solids (VS) reduction with an ISR of 10% was better than that with an ISR of 60%. Furthermore, increasing leachate recirculation rates improved methane yield, with a notable 78% increase observed when the recirculation rate was elevated from 0.3 to 7.5 L/h. These results demonstrate high methane production of 349 mLCH 4 /gVS reduced within a short digestion time of 10 days.
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.
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 | 0.001 |
| 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 it