Inhibitory Effect of Silver and Nanosilver on Activated Sludge Fed with Proteinaceous Feed
Bibliographic record
Abstract
This study investigates the response of activated sludge that is fed with proteinaceous feed to silver (Ag + ) and continuous nanosilver (AgNPs) input. Substrate removal (COD) and respiration of activated sludge were examined in two reactors fed with only peptone as an organic substrate and inorganics. Results showed that substrate removal was not affected by the high concentrations of Ag + and AgNP neither in short-nor in long-term. It was concluded that peptone in the feed formed complexes with silver and reduced its negative effects. Also, in long-term, AgNP lost its effectiveness upon continuous aeration. Moreover, in long-term, biomass protected itself from the inhibitory effect of AgNP by regulating the production of Extracellular Polymeric Substances (EPS). Therefore, no negative impact of silver and nanosilver on substrate removal and change in sludge characteristics would be expected.
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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 | 0.000 | 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 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".