Beyond polydopamine: expanding the horizon of polycatecholamines for biomaterials and biomedical technologies
Bibliographic record
Abstract
Polydopamine (pDA) has emerged as a benchmark material in bioinspired engineering, owing to its facile synthesis, strong adhesion, and chemical versatility. However, pDA is just one member of the broader polycatecholamine family, which includes poly-L-DOPA (pLD), polynorepinephrine (pNE), and polyepinephrine (pEP); each offering unique chemical functionalities and biological advantages. In this perspective, we critically assess the biomedical potential of these underexplored polymers, highlighting how their distinct physicochemical properties can expand current applications in surface modifications, coatings, biointerfaces, bioadhesives, biosensors, and carriers for drug delivery. Comparative analysis reveals that while pDA dominates the field, alternative polycatecholamines also exhibit equally attractive properties, such as enhanced hydrophilicity, biofunctionalization capacity, redox behaviour, and stimuli responsiveness. By broadening the focus beyond pDA, this work aims at catalysing future research on structurally diverse polycatecholamines as next-generation multifunctional biomaterials.
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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 | 0.001 | 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 | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".