Assessment of Pathogen Inactivation under Sub-composting Temperature in Lab-scale Compost Piles
Bibliographic record
Abstract
This study was conducted to assess the temperature profile and corresponding pathogen inactivation in lab-scale compost piles. The variation in temperature at different locations of piles and E. coli concentrations was evaluated. The experiment design included plastic containers of different height filled with organic feedstock. Cotton balls soaked with pathogens (E. coli and E. coli O157:H7) were placed inside the feedstocks at various depths. Subsequently, change in pathogen concentrations, feedstock characteristics, and temperature was monitored over time. Observations showed fluctuation in temperature of piles. The peak temperature (> 50 °C) was reached after two weeks of expertiment. The concentrations of E.coli and E. coli O157: H7 at different depths varied among piles during the 35 days of experiments. The reductions in E. coli concentrations ranged 1- 4 orders of magnitude. In certain piles, reduction in E. coli concentrations was followed by increased in E. coli levels indicating the possibility of perturbation of bacteria in the feedstock potentially at low temperature. We anticipate these preliminary results will provide additional insights on pathogen inactivation in compost system. The approach used here can be implemented at field-scale compost piles for assessing pathogen inactivation during compost process under field conditions.
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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 | 0.003 | 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 | 0.001 |
| 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".