X-ray Photoelectron Spectroscopic and Transmission Electron Microscopic Characterizations of Bacteriophage–Nanoparticle Complexes for Pathogen Detection
Bibliographic record
Abstract
We report the synthesis and characterization of gold–bacteriophage hybrids for biodetection purposes. The physical and optical properties of gold nanoparticles (AuNPs) and the biological features of the phages offer a multifunctional scaffold with great potential for nanotechnologically based biomedical applications. AuNPs, stabilized (PEGylated) using heterobifunctional polyethylene glycol (PEG), were coupled to methicillin-resistant S. aureus -specific phages. The PEG ligands contain a thiol group for stable anchoring to the gold surface and a terminal carboxylic acid group for further coupling to the outside of the PEG shell by carbodiimide chemistry. Transmission electron microscopic analysis showed that the NP–phage bioconjugates are highly stable, with a median diameter of 90 nm. X-ray photoelectron spectroscopy was used to chemically characterize the surfaces of the PEG-functionalized AuNPs, the bacteriophages, and the gold–phage hybrids. The role of the interface and the covalent coupling chemistry employed to attach the phages to the AuNPs have been delineated. Successful attachment of phages to AuNPs was confirmed by the presence of amide between the primary amines of the phages and the carboxylic acid terminal groups of the NPs and by the presence of carboxyl and amine species, which form hydrogen bonds.
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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) | 0.000 | 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".