Synthesis and photochemical reactions of iron(II) doped copper ferrites as heterogeneous catalysts
Bibliographic record
Abstract
Synthetic dyes and pigments have been widely used for aesthetic purpose, mainly in textile dyeing and printing, food, ink, papermaking, cosmetics and pharmaceutical industries.Synthetic dyes are preferred over natural counterparts because of its brilliant colours and reasonable prices.Among these dyes methylene blue (MB) is considered as hazardous to many living organisms including aquatic lives.Researchers have investigated many treatment methods such as adsorption, Fenton process, biological oxidation, sonochemical and photochemical oxidation to eradicate MB from aqueous medium [1].Recently heterogeneous ferrite NPs have attracted the researcher's attention in wastewater treatment process, in the photocatalytic degradation of various hazardous compounds [2].This research work reported the synthesis of magnetic iron(II) doped copper ferrite nanoparticles (NPs) by simple coprecipitation method.The NPs were synthesized with change in composition of copper and iron(II) given as, Cu II
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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".