Enhanced photocatalytic degradation of methylene blue dye using TiO<sub>2</sub> nanoparticles obtained via chemical and green synthesis: a comparative analysis
Why this work is in the frame
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Bibliographic record
Abstract
Abstract The study compares TiO 2 NPs synthesized via conventional chemical methods using Titanium Tetra Isopropoxide (TTIP) precursor versus an eco-friendly green synthesis approach using Moringa oleifera seed (MOS) extracts. Two standard fabrication routes-sol-gel and hydrothermal were employed for both chemical synthesis (CS) and green synthesis (GS) processes. The as-formed TiO 2 nanoparticles from all four synthesis conditions (CS-sol gel, CS-hydrothermal, GS-sol gel, GS-hydrothermal) exhibited a spherical shape and pure rutile crystal structure with slight variations in mean diameter based on the synthesis technique. Optical absorptions showed bandgap energies ranging from 3.14–3.28 eV and 2.24–2.59 eV for CS- and GS-TiO 2 systems respectively. The lower bandgap energy of green synthesized TiO 2 suggests higher visible light absorption, confirmed through diffuse reflectance spectroscopy where GS-TiO 2 NPs had higher base absorbance levels. The synthesized TiO 2 NPs were employed as catalysts for methylene blue (MB) dye degradation under UV and sunlight irradiation. Intriguingly, the results indicated that the degradation of MB dye under sunlight irradiation demonstrated superior efficiency compared to UV irradiation. In conclusion, the green-synthesized TiO 2 NPs showcased excellent optical properties and demonstrated enhanced photocatalytic performance in the degradation of MB dye, with an efficiency approaching 64 %.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 it