Monodisperse Protein Stabilized Gold Nanoparticles via a Simple Photochemical Process
Bibliographic record
Abstract
Protein stabilized, water soluble gold nanoparticles are essential for biomedicines and biotechnology. Bovine Serum Albumin (BSA) is one of the most abundant proteins. It has a remarkable ability of binding and transporting materials across cell membrane that makes it ideal for drug delivery and very useful for pharmaceutical industry. Herein, we explored the direct synthesis of BSA stabilized gold nanoparticles via a simple photochemical process. BSA stabilized gold nanoparticles are synthesized in one step, using Irgacure (I-2959) as photoinitiator. UV radiation facilitates the easy one step synthesis of protein stabilized gold nanoparticles without any denaturation of the protein, during the process. Polyacrylamide Gel (PAGE) shows that there is no difference in the bands height and mobility of native BSA and UV irradiated BSA. PAGE results are further confirmed by fluorescence spectroscopy of native and UV irradiated BSA. BSA/PEG (polyethylene glycol) mixed monolayer stabilized gold nanoparticles have also been prepared in one step using the photochemical process. Different ratios of PEG to BSA are used to evaluate the particle size and the size distribution of gold nanoparticles. Transmission electron microscope (TEM) and dynamic light scattering (DLS) confirm the presence of nearly monodisperse mixed layer stabilized gold nanoparticles.
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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".