Photochemical Approach toward Deposition of Gold Nanoparticles on Functionalized Carbon Nanotubes
Bibliographic record
Abstract
The development of new methods for the facile synthesis of hybrid nanomaterials is of great importance due to their importance in nanotechnology. In this work, we report a new method to deposit Au nanoparticles on the surface of single-walled carbon nanotubes (SWCNTs). Our approach consists of a one pot synthesis in which Au nanoparticles are generated in the presence of a photoreducing agent (Irgacure-2959) and carboxyl or polymer-functionalized SWCNTs (f-SWCNTs). We have observed that when carbon nanotubes are functionalized with polymers containing pendant amino groups, the latter can act as specific nucleation sites for well-dispersed deposition of Au nanoparticles. The surface coverage of the Au nanoparticles can be observed by transmission electron spectroscopy. These observations are compared to that of carboxyl functionalized SWCNTs, in which less surface coverage was observed. The f-SWCNT/Au nanocomposites were also characterized by UV-vis, infrared, and Raman spectroscopy and thermogravimetric analysis (TGA). This facile and effective route can be implemented to deposit gold nanoparticles on other surface-functionalized carbon nanotubes.
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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 | 0.001 | 0.001 |
| 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".