One‐step facile synthesis of PbS quantum dots/Pb (DMDC)<sub>2</sub> hybrids and their application as a low‐cost SERS substrate
Bibliographic record
Abstract
Abstract A microwave‐ and ultrasound‐assisted reduction and assembly of lead dimethyldithiocarbamate (Pb (DMDC)2) led to the formation of rod‐like Pb (DMDC)2 embedded with PbS quantum dots (QDs). Transmission electron microscopy measurements show the presence of numerous isolated PbS QDs on the Pb (DMDC)2 microrod surface, which may potentially act as hot spots for enhanced Raman spectroscopy. A case study using mercaptopyridine as the analyte demonstrates that the rod‐like hybrids have outstanding performance as a surface‐enhanced Raman scattering (SERS) substrate, comparable with that of Au nanorods. The excellent SERS performance of the as‐fabricated PbS QDs/Pb (DMDC)2 hybrids may be attributed to the unique dispersion of PbS QDs as well as the intimate contacts between PbS QDs and Pb (DMDC)2. This study therefore presents a new approach for the development of low‐cost and highly efficient semiconductor‐based SERS substrates.
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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".