Biodegradation of wastewater containing cyanide, acetonitrile, and acrylonitrile using RBC and shock loading study
Bibliographic record
Abstract
Abstract A laboratory scale rotating biological contactor (RBC) was used to study the biodegradation of synthetic wastewater similar to the one from the petrochemical industry producing acrylonitrile (ACR). The study was carried out at hydraulic retention time (HRT) of 30 h for simultaneous removal of cyanide (CN), acetonitrile (ACN), and ACR in petrochemical wastewater stream. The attached biomass was acclimatised by gradually increasing CN, ACN, and ACR concentration from 5 to 40, 41 to 113, and 45 to 142 mg L−1, respectively, with simultaneous increase in the concentration of chemical oxygen demand (COD) and ammonium nitrogen at HRT of 30 h. During acclimatisation the percent removal of COD, CN, ACN, and ACR were 90–95, >99, 80–94, and 80–88, respectively. The performance of RBC was monitored for various parameters like COD, 5‐day biochemical oxygen demand at 20°C (BOD5), CN, ACN, ACR, ammonium nitrogen, etc. The removals obtained in terms of percentage, for CN, ACN, ACR, and COD were 97, 81, 89, and 95, respectively, at HRT 30 h. The quantitative shocks consisting of increase in influent substrate concentration with subsequent increase in concentration of other parameters proportionally were studied. The variation of biomass concentration within the system was also studied.
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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 | 0.000 | 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) | 0.000 | 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".