Antifouling Coatings Inspired by Biological Templates
Bibliographic record
Abstract
Surface fouling is a major concern in health care, marine industry, and water purification plants. Polymeric coatings are traditionally utilized to reduce the attachment of foulants on a surface, however low density and thickness of polymer brushes formed by surface initiated polymerization methods, surface exhaustion by continuous exposure to the foulants, and mechanical vulnerability in harsh environments, limit the antifouling performance of these traditional coatings. Recent trends in bioinspired polymeric coatings combine antifouling properties of super-hydrophobic, and highly hydrated lubricating polymers with mechanical properties of micro- and nano-particles to yield contact active, foulant releasable and stimuli responsive materials with superior antifouling performance. This review specifically highlights the development of next generation bioactive antifouling coatings using nature as an inspiration and a discussion of their benefits, over traditional polymeric coatings. The bioinspired coatings obtained are further evaluated for their potential applications in the marine environment, as delivery carriers, in implants, biosensors, and in urinary catheters.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".