Application of apdc coupled polyurethane foam sorbent for the removal and recovery of toxic heavy metals Hg, Cd and Pb from industrial effluents
Bibliographic record
Abstract
Abstract A novel, highly stable, selective and efficient sorption medium was synthesized for the removal of toxic metals from industrial effluents by coupling a chelating agent Ammonium pyrrolidine dithiocarbamate (APDC) with flexible open cell polyether polyurethane foam. The performance efficiency of the new sorbent was evaluated by static and dynamic methods for removing toxic heavy metals Hg, Cd and Pb from effluents. In fixed bed downflow column studies, a quantitative uptake of Hg (II) 400 mg/L, Cd (II) and Pb (II) 60 mg/L was attained at flow rates of 3.68 L/m2s. The design parameters using the APDC‐PUF as sorption material for a batch reactor and for column reactor and cost effectiveness of the process were evaluated. The sorption potential of the APDC‐PUF was demonstrated for the treatment of real industrial wastes from a common effluent treatment plant, Chloro alkali industry and municipal sewage.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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".