Preparation and Properties of N-F Co-Doped TiO_2 Photocatalyst with Wide Range Light Response and Multipore Structure from Ionic Liquid-Water Mixture Solvent
Bibliographic record
Abstract
A yellow N-F co-doped TiO2 photocatalyst (TiONF) exhibited high activity over a wide light spectrum range and a multipore structure was prepared by a hydrolysis-precipitation method using an ionic liquid ([Bmim]PF6)-water mixture as the solvent and TiCl4 as the precursor.Photocatalytic activity was investigated by the photocatalytic degradation of phenol under ultraviolet (UV),artificial visible (Vis),and solar light irradiation.X-ray photoelectron spectroscopy (XPS),UV-Vis diffuse reflectance spectroscopy (DRS),transmission electron microscopy (TEM),X-ray diffraction (XRD),Fourier transform infrared (FTIR),spectroscopy,and N2 adsorption-desorption were used for catalyst characterization.The results show that TiONF synthesis in an ionic liquid-water mixture solvent with suitable N-F doping gives high activity under UV,Vis,and solar light irradiation,and the activities are higher than those obtained by synthesis in pure water.The ionic liquid-water mixture solvent leads to N and F being incorporated into the TiO2 lattice and N-F co-doping can increase the amount of surface OH-on TiO2.The new bandgap formed by N-F doping can induce a second adsorption edge (450-530 nm),which can be excited by Vis irradiation and induce Vis activity.N-F co-doping retards the phase transformation.In addition,an ionic liquid-water mixture as a solvent benefits the dispersion of TiO2,increases the SBET and reduces the particle size.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".