TPE-Containing Stimuli-Responsive Amino-Boranes: The Key Role of the Linker, Alkyl vs Aromatic
Bibliographic record
Abstract
A series of tetraphenylethene (TPE)-functionalized, aldehyde-bearing amino-triarylboranes have been synthesized and comprehensively characterized. The AIE-active TPE unit was incorporated into the molecular backbone either via unconjugated alkyl linkers of varying lengths ( BOTPE-C1, BOTPE-C3, and BOTPE-C6 ) or through a conjugated phenyl bridge ( BOTPE-Ph ). Owing to the switchable intramolecular B ← O bond, these compounds exhibit distinct luminescent responses to multiple external stimuli, including solvent polarity, temperature, and water content. The introduction of the TPE unit exerts differential impacts on the photophysical properties and stimuli-responsive properties of BOTPE derivatives, which are highly dependent on the type of linker used. With unconjugated linkers, the TPE unit does not significantly influence the emission intensity in a dilute solution. However, upon aggregation, the Förster resonance energy transfer (FRET) pathway is activated, thereby enhancing emission intensity. In the case of BOTPE-Ph, the conjugated phenyl linker imparts a typical aggregation-induced emission (AIE) behavior. This manifests as weak luminescence at low concentrations in polar solvents, with a significant enhancement in emission intensity upon aggregation.
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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".