Studies on the Removal of Parafuchsin from Aqueous Solution by Calcined-β-CD-Fe-LDHs and its Kinetics
Bibliographic record
Abstract
In this article,β-cyclodextrin(β-CD) intercalated ferrum-containing hydrotalcite was fleetly prepared by the technology of microwave-crystallization and low saturated state of coprecipitation.The purposed sample of β-CD-Fe-LDHs and calcined-β-CD-Fe-LDHs were characterized by means of XRD,IR and SEM.The results show that the synthesized β-CD-Fe-LDHs with the flexible slice have the structure of LDHs.The calcined product is in a uniform particle state.Calcined-β-CD-Fe-LDHs were then applied to the removal of parafuchsin.The effects of photocatalyst types,reaction temperature,parafuchsin mass concentration and cycle life on the parafuchsin removal were investigated.It is shown that the percentage of removal for parafuchsin solution of 50 mg / L can reach 95.70% under the optimum conditions,and the removal rate can still reach 79.99% even after 5 cycles.The kinetics curves of removal show that the removal is in accordance with the first-order kinetics model within the first 40 minutes under different photocatalyst mass concentrations and parafuchsin mass concentrations.The results suggest that calcined-β-CD-Fe-LDHs can be used as a novel and efficient photocatalyst for the removal of parafuchsin.
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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".