Optical Degradation of CdSe/ZnS Quantum Dots upon Gamma-Ray Irradiation
Bibliographic record
Abstract
We report quantitative changes to the fluorescent characteristics of quantum dots (QDs) following gamma irradiation. One CdSe/ZnS QD ensemble synthesized via a wet-chemistry approach was dispersed in hexane. Six identical dispersions were prepared, three of which were unexposed controls, whereas the other three were irradiated by a Co-60 source, incrementally to doses of 0.1, 1.0, 10, and 100 Gy. Fluorescence spectra were immediately collected after each irradiation. Emission spectra were fit to a three-component mixed Gaussian model, which included CENTRE, SHOULDER, and BACKGROUND Gaussians. For all of the irradiated samples, the CENTRE and SHOULDER Gaussian amplitude decreased with increased irradiation dose. The BACKGROUND Gaussian exhibited increased amplitude, blue-shift, and widening. The three control samples exhibited consistent unchanged fluorescent spectra during our experimental time scale. The fluorescent response of QDs to radiation provides the proof of concept for use of quantum dots as novel dosimeters.
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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".