Supramolecular interactions of conjugated <font>Zn</font>- and protonated porphyrin polymer with carbon nanotubes
Bibliographic record
Abstract
The interaction of a highly soluble conjugated Zn -porphyrin containing polymer with a surface of single-walled carbon nanotubes, producing a soluble polymer-nanotube complex, is reported. We found that successful complexation required the addition of trifluoroacetic acid to the solvent tetrahydrofuran in order to disrupt solvent-porphyrin coordination that prohibits close interaction of the polymer with the nanotube surface. In the presence of trifluoroacetic acid, the complex remained soluble even after excess free polymer was removed from solution, and could be centrifuged at high speed with no observable sedimentation. Furthermore, the polymer-nanotube assembly resulted in enhanced planarization and conjugation within the porphyrin polymer, which was observed via a 127 nm bathochromic shift of the Q-band absorption in the UV-vis spectrum. In addition, removal of the Zn atoms and protonation of the porphyrin repeat units under acidic conditions resulted in a polycationic polymer that also forms strong interactions with carbon nanotubes which result in soluble supramolecular complexes. Control experiments with the Zn -porphyrin monomer indicated that homogeneous solutions could be prepared by sonication, but the monomer-nanotube interactions were weak and resulted in nanotube precipitation within minutes. Atomic force microscopy and transmission electron microscopy studies indicated that the polymer is capable of exfoliating large nanotube bundles into individual tubes and small bundles that are coated in polymer.
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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".