Highly sensitive and selective fluorescence turn-on detection of lead ion in water using fluorene-based compound and polymer
Bibliographic record
Abstract
A fluorene-based sensory compound and polymers were designed and synthesized for the fluorescence turn-on detection of lead ions in aqueous media. The fluorene unit is used as a fluorophore and also as the building block for making a conjugated fluorene-based polymer. A dicarboxylate pseudo crown was selected as a receptor, which is highly selective towards the lead ion and imparts a good water-solubility to sensory compounds and polymers. The water-soluble sensory compound and fluorene-based polymer show high sensitivity and selectivity towards lead ions in aqueous media. Sensory compound 7a and polymer P2 are highly selective and sensitive for the fluorescence turn-on detection of lead ions in water with a concentration of 4 μM. Fibre-optic sensing for lead ions in water using sensory compound 7a has also been demonstrated.
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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".