Effect of Aging, Time, and Temperature on Fecal Coliform Counts during Centrifugal Dewatering and Role of Centrate in Growth Inhibition
Bibliographic record
Abstract
Recent studies have reported significant increases in fecal coliform counts in anaerobically digested sludge soon after centrifuge dewatering. The reasons behind these increases are not yet understood. This study investigated the role of inhibitor substances on the reactivation and regrowth of sludge bacteria and the effect of storage time and temperature on their growth behavior. The study consisted of full- and laboratory-scale testing, and quantified the microbiological and chemical characteristics of sludge, cake, and centrate samples under different temperatures and aging times. Significant reactivation was not observed at the treatment plants tested. Results showed that the regrowth phenomenon is not observed for all sludges, and differences in sludge characteristics and treatment processes may play a role in determining the regrowth behavior of sludge. Centrate collected from one of the treatment plants had an inhibitory effect on the growth of fecal coliform and was four times more toxic than cake to the bacteria. Chemical analyses of the centrate identified sulfide as one of the possible inhibitory compounds. The results also showed that fecal coliform have different growth and survival behavior compared to other sludge bacteria.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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 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".