Synthesis of Mixed Phase nanoTiO<sub>2 </sub>particles & Their Application in Photocatalytic Water Decontamination
Bibliographic record
Abstract
A green, sustainable hydrolytic precipitation process is used to synthesize different blends of intrinsically heterostructured (mixed phase) titanium dioxide (TiO 2 ) nanoparticles (NPs). NPs are evaluated for the decontamination of organic and inorganic pollutants. The NPs are characterized for their morphological, semiconductor and photocatalytic properties. As organic compound, methyl orange was used to evaluate the mixed phase TiO 2 NPs through adsorption and photo-oxidation, while selenium (IV and VI) species were the inorganic pollutants of interest, removed by adsorption and photo-reduction. A comparative assessment of photocatalytic effectiveness of different nanoTiO 2 varieties is presented revealing contrasting behavior between organic and inorganic removal, while exemplifying the importance of tuning phase composition, as per intended application.
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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 | 0.001 |
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".