B-Cyclodextrin Polyurethanes Copolymerised with Beetroot Fibers (Bio-Polymer), for the Removal of Organic and Inorganic Contaminants from Water
Bibliographic record
Abstract
In this study, B-Cyclodextrinn polymerized with beetroot fibers (Bio-polymer), was prepared and applied to the removal of organic and inorganic contaminants from wastewater. An investigation into the use of cross-linked cyclodextrin polyurethanes copolymerised with beetroot fibers as adsorbents for organic pollutants and heavy metals has yielded very useful results which may have an impact in future water treatment applications. The Biopolymer was tested in water contaminated by dyes, polycyclic aromatic hydrocarbons (PAH) and heavy metals. The effectiveness to eliminate dyes such as methylene blue and Rhodamine B with concentrations around 100 ppm was more than 99%, while the pyrene,which was chosen as an example among PAHs, showed a potential of elimination exceeding the 97% for solutions of 10 ppm. Also, heavy metals, such as Lead, Zn, and Cu, were tested and showed an efficacy exceeding the 99.8%. The results indicated that the biopolymer developed in this study has the potential to be a promising material for the removal of mixed pollutants from industrial wastewater or from contaminated groundwater.
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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) | 0.001 | 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".