Temperature-Induced Energy Transfer in Dye-Conjugated Upconverting Nanoparticles: A New Candidate for Nanothermometry
Why this work is in the frame
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Bibliographic record
Abstract
Lanthanide-doped upconverting nanoparticles (UCNPs) are highly promising candidates for bioimaging and for cellular nanothermometry as a novel diagnostic tool. Aiming for the diagnosis of diseases at very early stages in order to optimize therapy and recovery of the patient, it must be taken into account that thermal singularities are often one of the first indicators of a disease. It is therefore our goal to develop a nanothermometer based on UCNPs that is suitable to detect the temperature at a subcellular level in the physiological range. Thus, upconverting NaGdF 4:Er 3+,Yb 3+ nanoparticles that convert near-infrared (NIR) into visible (VIS) light are synthesized by thermal decomposition. Appropriate surface modification with a thermoresponsive polymer pNIPAM (poly( N -isopropylacrylamide)) guarantees dispersibility in aqueous media required for biomedical applications. In a further step, the combination of the obtained UCNPs with an organic dye (FluoProbe532A) provides potential donor-acceptor-pairs allowing for energy transfer processes, whereas the light emitted by the Er 3+ ions (donors) is absorbed by the organic dye (acceptor). It has been demonstrated that the dye-conjugated UCNPs undergo a temperature-dependent energy transfer process inducing a temperature-dependent increase in the thermal sensitivity when compared to unlabeled UCNPs. This result indicates the great potential of the presented nanoprobes for applications in nanothermometry.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it