Synthesis of MgAl2O4: Sm3+ Nanophosphor and Its Photoluminescence, Electrochemical Sensing, and Photocatalytic Studies
Bibliographic record
Abstract
A series of MgAl2O4: Sm3+ nanophosphors were synthesized using oxalyl dihydrazide (ODH) as fuel at low temperature. The X-ray diffraction studies revealed a crystallite size of 20 nm for the nanophosphors. The energy band gap values were found to be in the range from 4.86 to 5.42 eV. Because of distinct f–f transitions from 4F7/2 ⟶ 6P3/2 of Sm3+ ions in the host stimulated at 406 nm, the PL characteristic emission peaks of Sm3+ ions were observed between 406 and 605 nm. The optimized MgAl2O4: Sm3+ phosphors exhibited 97% colour purity and lie in the orange red to yellow area of the CIE diagram. With MgAl2O4: Sm3+ nanophosphors, novel photocatalysts for the elimination of the dye Fast orange red (FOR) have been proved to function at an excited wavelength of 493 nm in UV light. The experiment showed 97.46% dye decolorization, respectively, after 120 min irradiation. Using the carbon paste electrode in the cyclic voltammetry (CV) technique, lead was detected in 0.1N HCl solution (MCPE). The MgAl2O4: Sm3+ nanophosphors are useful sensing material for an element like lead. Finally, we conclude that the synthesized MgAl2O4: Sm3+ nanophosphors are potential candidates for multifunctional applications.
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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".