Regenerable Luminescent Triarylborane-Functionalized Rare-Earth Metal-Organic Frameworks as Solid-State Small Molecule Sensors
Bibliographic record
Abstract
Abstract: Fluoride anions (F-) are commonly found in everyday items and known to have positive medicinal uses. Despite their importance, overconsumption can lead to dental and skeletal fluorosis, amongst other health issues. In pursuit of a more effective method to detect trace amounts of anions in aqueous media, we synthesized two triarylborane-functionalized lanthanide metal-organic frameworks (LnBMOFs) to act as solid-state luminescent sensors. The LnBMOFs, EuBMOF and TbBMOF use europium and terbium, respectively as these metal ions display strong luminescent properties. The electrophilic nature of the triarylborane ligand makes it an ideal candidate for sensing high affinity fluoride, whilst also providing steric bulk to enhance the selectivity and stability of the LnBMOFs. We further demonstrate that LnBMOFs are capable of sensing other common anions including cyanide and hydroxide, expanding the scope of these sensors, while maintaining a high degree of sensitivity. The structural design of these LnBMOFs provide a turn-on/off effect, where the luminescence is regenerated and maintains stability through several cycles upon washing with water.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.025 | 0.013 |
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".