Sustainable Catalysts from Gold-Loaded Polyamidoamine Dendrimer-Cellulose Nanocrystals
Bibliographic record
Abstract
Generation 6.0 polyamidoamine (G6 PAMAM) dendrimer-grafted cellulose nanocrystals (CNCs) (CNC–PAMAM) were synthesized and employed as supports for gold nanoparticles. The successful grafting of PAMAM dendrimers was confirmed by conductometric–potentiometric titration and pH-dependent ζ-potential analyses. Gold nanoparticles with diameters of approximately 2 to 4 nm were synthesized with the PAMAM dendrimers playing the role of nanoreactors and NaBH 4 as the reducing agent. More importantly, gold nanoparticles were successfully prepared at pH 3.3 with the PAMAM dendrimers playing the functional role of reducing agent. Temperature and the concentration of CNC–PAMAM had an impact on the resulting size of gold nanoparticles. The gold nanoparticles immobilized on CNC–PAMAM displayed superior catalytic properties toward the reduction of 4-nitrophenol to 4-aminophenol. The enhanced catalytic behavior may be attributed to the improved dispersity and accessibility of gold nanoparticles within the PAMAM dendrimer domain. This work has demonstrated the versatility of CNC–PAMAM, both as an effective nanoreactor and a reducing agent.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".