ST. JOHN'S WORT (HYPERICUM PERFORATUM L.) FLOWER BASED CARBON/GRAPHENE QUANTUM DOT STRUCTURE PRODUCTION AND CHARACTERIZATION FOR BIOIMAGING AND DRUG DELIVERY SYSTEMS
Bibliographic record
Abstract
In this study, it was aimed to obtain carbon and graphene quantum dot structures from St. John's Wort (Hypericum perforatum L.) flowers, originating from the city of Hatay. Hypericum perforatum L. flower sample was subjected to carbonization at different temperatures such as 200, 225 and 250 ℃ for the desired quantum dot structure yields. It has been observed that the best radiation after carbonization is at 250 ℃. Fourier transform infrared spectrometer, X-ray diffraction and scanning electron microscopy techniques were used to determine the structural characterizations and surface morphology, respectively. The UV radiation of Hypericum perforatum L. flower-based carbon and graphene quantum structures was followed at 365 nm and the blue glow was observed very clearly. With this study, quantum and graphene dot structures based on Hypericum perforatum L. flower have been introduced to the literature for the first time. In addition, the quantum dot structures with blue radiation obtained within the scope of the study will be an alternative reference for many bioimaging and drug delivery system studies.
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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".