Deposition of silver nanoparticles onto human serum albumin‐functionalised multi‐walled carbon nanotubes
Bibliographic record
Abstract
Abstract To facilitate the design of carbon nanotube (CNT)‐based hybrid materials, a strategic approach for nanotube dispersion in aqueous media is required. This means that the reactants must exhibit certain selectivity towards both the nanotubes and the solvent medium. The main goal of this study was to prepare new bionanomaterials based on human serum albumin (HSA) and multi‐walled CNTs (MWCNTs), under mild conditions and without covalent modification of the nanotubes. Silver nanoparticles (AgNPs) of a controlled particle size, about 2‐nm diameter, were prepared and directly deposited onto the HSA‐functionalised MWCNTs. The characterisation of AgNP/HSA‐MWCNT hybrids prepared was carried out by scanning tunneling microscopy and transmission electron microscopy (TEM). The presence of the AgNPs was corroborated by elemental chemical analysis using TEM‐coupled energy‐dispersive X‐ray spectroscopy. The density of AgNPs coverage is discussed as a function of HSA concentration, the strength of the reducing agent, and the nature of protein employed (HSA vs. bovine serum albumin and rotavirus nucleocapsid protein VP6). © 2012 Canadian Society for Chemical Engineering
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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".