A fluorescent probe using phosphorus-doped graphite carbon nitride nanosheets for the detection of silver ions and cell imaging
Bibliographic record
Abstract
The fluorescent phosphorus-doped graphite carbon nitride (P-g-C 3 N 4 ) nanosheets have been synthesized as a fluorescence probe using an ultrasonic exfoliating method. The as-prepared P-g-C 3 N 4 nanosheets were characterized by multiple analytical techniques such as transmission electron microscopy, X-ray photoelectron spectroscopy, X-ray diffraction, and infrared spectroscopy. The fluorescence intensity of P-g-C 3 N 4 nanosheets decreases with the increase in concentration of silver ions. A good linear relationship was achieved between the corresponding fluorescence intensity of P-g-C 3 N 4 nanosheets and the concentration of silver ions in the range of 20 nmol/L – 3.2 μmol/L. The quenching mechanism of interaction between P-g-C 3 N 4 nanosheets and silver ions was primarily discussed. The proposed fluorescence probe has been successfully applied to detect silver ions in real water samples and the recoveries range from 96.8% to 103.7%.
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How this classification was reachedexpand
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 | 0.000 | 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) | 0.000 | 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 teacher head, 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".