Decoration of Polyfluorene-Wrapped Carbon Nanotubes via Strain-Promoted Azide–Alkyne Cycloaddition
Bibliographic record
Abstract
Developing methodologies that can efficiently decorate carbon nanotube surfaces with various molecular structures while avoiding damage to nanotube optoelectronic properties is an ongoing challenge. Here, we outline a methodology to perform chemistry on the nanotube surface without perturbing optoelectronic properties. Reactive, noncovalently functionalized polymer–nanotube complexes were prepared using polyfluorene with azide groups in its side chains. The azides enable strain-promoted azide–alkyne cycloaddition to occur between polymer–nanotube complexes and small molecules or polymers derivatized with a strained cyclooctyne. This reaction was found to occur efficiently at room temperature, without any catalyst or byproduct removal required. The reaction was monitored by infrared spectroscopy via the disappearance of the polymer azide stretch at ∼2090 cm –1, and this chemistry resulted in no damage to the nanotube sidewall, as evidenced by Raman spectroscopy. The azide-containing polyfluorene was used to prepare an enriched dispersion of semiconducting carbon nanotubes in organic media, which could then be redispersed in aqueous solution post-click with strained cyclooctyne-functionalized poly(ethylene glycol). Taking advantage of the ability to preserve optoelectronic properties, solvatochromism of an identical subset of semiconducting carbon nanotubes was investigated using absorption, fluorescence, and Raman spectroscopy. It was found that, in aqueous media, fluorescence was nonuniformly quenched among the different semiconducting species and that there was a significant red-shift in the emission of all nanotubes in D 2 O relative to nonpolar toluene.
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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) | 0.001 | 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 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".