Surface zwitterionization on versatile hydrophobic interfaces <i>via</i> a combined copolymerization/self-assembling process
Bibliographic record
Abstract
Amphiphilic zwitterionic copolymers have a severe problem of solubility, which restricts the feasibility and development of antifouling coatings. In this work, zwitterionic polymers were grafted via a novel modification method, namely, in situ self-assembling coating (ISC), which consists of synthesizing and simultaneously coating a copolymer onto a surface. This resolves the dissolution problem of amphiphilic zwitterionic copolymers. Here, the ISC method was applied to a copolymer composed of hydrophobic styrene (ST) and hydrophilic sulfobetaine methacrylate (SBMA). Under optimized conditions of concentration, molar ratio, and reaction time, the amphiphilic copolymer, poly(styrene-co-sulfobetaine methacrylate) (PS-PSBMA), can be coated onto the substrate surface. Ultralow protein adsorption from single-protein solutions and reduction of attachments from human blood platelets, erythrocytes, leukocytes, tissue cells, and bacteria were achieved. The mechanism of ISC was explained by carrying out time-dependent fibrinogen adsorption tests, along with particle size measurements in the polymerization bath. Furthermore, the ISC method was applied to versatile hydrophobic materials including polypropylene (PP), poly(dimethylsiloxane) (PDMS), and poly(tetrafluoroethylene) (PTFE). This work introduces a unique, convenient, and efficient method for synthesizing and coating amphiphilic zwitterionic polymers in a single step for antifouling applications in complex media.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".