Mechanically Robust, Superlubricating and Antifouling Bilayer Nanocoating for Micro-Bioimplants via a Dual-Function Metal Coordination Approach
Bibliographic record
Abstract
Nanometer-thick ultrathin coatings with superior mechanical strength and desirable lubricating and antifouling performance are critical for the miniaturization of implantable medical devices. However, integrating these properties at the nanoscale remains challenging due to the inherent trade-off between mechanical strength and hydration as well as limitations in coating thickness. In this work, we address these challenges by employing dual-function metal coordination to construct a ∼25 nm thick bilayer structure. Contact mechanics and interfacial molecular force measurements confirm the dual role of vanadium (V III ) ions in forming this bilayer: V III ions bridge the ligand sites to reinforce the protein bottom layer, and simultaneously anchor the end blocks of the designed ABA triblock hydrophilic polymers to form a hydrated, looping top layer. This V III -enabled structure demonstrates remarkable load-bearing capacity and lubricating performance (i.e., friction coefficient μ on the order of 10 –3 over 100 cycles under ∼10 MPa), while it also exhibits excellent resistance to biofouling in complex biological fluids. This work presents a useful strategy for integrating seemingly incompatible properties into ultrathin coatings, offering the potential for customizing multifunctional surfaces for micro-devices/machines toward bioengineering applications.
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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 | 0.001 | 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 | 0.000 | 0.001 |
| 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 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".