Effect of Calcination Temperature on the Morphology, Crystallinity, and Photocatalytic Activity of ZnO/TiO2 in Selenite Photoreduction from Aqueous Phase
Bibliographic record
Abstract
In this study, ZnO/TiO2 was synthesized using the sol-gel method. The effect of calcination temperature was investigated on the morphology, crystal size, and influence on the photoreduction of selenite from the aqueous phase. The ZnO/TiO2 was calcined at 150 C, 350 C, and 500 C for 2 hours. The samples were characterized using SEM/EDX, XRD, and FT-IR for morphology/elemental composition, crystal structure/size, and functional group. The crystallite sizes were found to be 21.61 nm, 22.22 nm, and 24.80 nm for the temperatures, respectively. The composite morphology was found to be agglomerated granular particles that increase in agglomeration as the temperature increases. EDS results give the composition of Ti, Zn, and O2 in all samples, indicating the presence of ZnO and TiO2. XRD spectra were used to confirm the hexagonal and tetrahedral phase structure of the ZnO and TiO2. Photocatalysis experiment was conducted at pH 4 and 1 mg/L ZnO/TiO2 with 20 ppm initial concentration for 22 hrs under UV- irradiation. The catalyst calcined at 150 C showed 100% photoreduction of selenite to total selenium, while samples calcined at 350 C and 500 C showed 79% and 17%, respectively.
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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".