Use of new bacterial strain in solidification and stabilisation of municipal solid waste incineration fly ash
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
The use of microbially induced carbonate precipitation (MICP) is known to be effective in the solidification and stabilisation of fly ash that results as a by-product of municipal solid waste incineration. In the search for more adaptable and applicable bacteria for MICP fly ash treatment, five species of bacteria were isolated from nursery soil. The biochemical characteristics of the five bacteria were tested to assess their adaptation to the environment of fly ash. The geotechnical properties and heavy metal leaching concentrations of the fly ash treated by the five bacteria were also tested to evaluate solidification and stabilisation effects. Results were compared with the commonly used bacteria Bacillus pasteurii. The Ensifer adhaerens strain outperformed other strains, including B. pasteurii, in environmental adaptation, particle solidification and heavy metal stabilisation of fly ash. Further MICP treatment tests under different bacterial concentrations, curing conditions and fly ash void ratios were carried out on this strain to investigate the influence of various factors on MICP efficiency. Both the MICP and the pozzolanic solidifying properties played important roles in the solidification and stabilisation mechanisms, where the best solidification effect occurred at a bacterial concentration of 14.92 × 10 7 cells/ml and a fly ash void ratio of 0.724.
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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 | 0.000 |
| 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) | 0.002 | 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