Self-Assembled Monothiol-Terminated Hyperbranched Polyglycerols on a Gold Surface: A Comparative Study on the Structure, Morphology, and Protein Adsorption Characteristics with Linear Poly(ethylene glycol)s
Why this work is in the frame
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Bibliographic record
Abstract
Monothiol-terminated hyperbranched polyglycerols (HPGs) were synthesized by ring-opening polymerization of glycidol from partially deprotonated 2,2'-dihydroxyethane disulfide as the initiator and subsequent reduction of the disulfide group. Two molecular weights of HPG thiols were synthesized. The molecular weights of the polymers were determined by MALDI-TOF analysis, and the presence of thiol was verified by Ellman's assay. The self-assembly of HPG thiols on gold was studied and compared with that of linear poly(ethylene glycol) (PEG) thiols utilizing various surface analysis techniques. Monothiol-functionalized HPGs readily adsorbed to a gold surface and formed highly uniform thin films on the surface. The graft density of the HPG layer decreased with an increase in the molecular weight of the polymer. The amount of polymer on the surface increased with increasing incubation concentration and saturated above 6 g/L polymer concentration. Generally, HPG thiols gave lower graft density compared to linear PEG thiols of similar molecular weight. AFM morphological studies showed that HPG thiols form more uniform and smooth surface films compared to PEG thiols. Incubation of a polymer-coated surface (HPG thiols and PEG thiols) with bovine serum albumin and immunoglobulin showed that the high molecular weight hyperbranched polyglycerol was more resistant to protein adsorption than linear PEG of similar molecular weight or lower molecular weight HPG. The protein adsorption decreased with increasing graft density of the HPG chains on the surface. Our results show that HPG could be a good alternative to PEG in the development of nonfouling functional surfaces.
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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) | 0.001 | 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 it