Development of Dextran-Derivative Arrays To Identify Physicochemical Properties Involved in Biofouling from Serum
Bibliographic record
Abstract
To control protein adsorption on surfaces, low-fouling polymer coatings such as poly(ethylene oxide) (PEG or PEO) and polysaccharides are used. Their ability to resist protein adsorption is related to the layer structure, hence the immobilization mode. A polymer array technology was developed to study the structural diversity of carboxymethyl dextran (CMD) layers, whose immobilization conditions were varied. CMD arrays were analyzed by X-ray photoelectron spectroscopy (XPS) and by atomic force microscopy (AFM) colloidal probe force measurements. Serum protein adsorption was studied directly on the CMD arrays using surface plasmon resonance (SPR) microscopy. Physicochemical characterization revealed that pinning density regulates surface coverage and the amount of adsorbed molecules, and that salt concentration influences the surface structure of the charged polymer, forming extended or short layers. Protein adsorption experiments from serum showed that repulsive CMD layers are dense, with extended flexible chains. The present study underlines the usefulness of polymer arrays to study structural diversity of thin graft layers and to relate their physicochemical properties to their resistance to nonspecific protein adsorption.
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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".