Conductive Electrochemically Active Lubricant‐Infused Nanostructured Surfaces Attenuate Coagulation and Enable Friction‐Less Droplet Manipulation
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Micro/nanostructured materials and lubricant‐infused surfaces, both inspired from structures found in nature, are ideally suited for developing self‐cleaning and high surface area transducers for biosensing. These two classes of bio‐inspired technologies are integrated to develop lubricant‐infused electrodes designed to reduce biofouling. Chemical vapor deposition is used to create self‐assembled monolayers of fluorosilane on gold‐modified prestrained polystyrene substrates. After heat shrinking of the substrate, a lubricant is applied to produce a lubricant‐infused nanostructured gold wrinkled surface with hydrophobic properties. These electrically conductive surfaces demonstrate high water contact (≈150°) and low sliding angles (<5°). Moreover, combining these surfaces with passive magnetic actuators enables the actuation of super‐paramagnetic microdroplets in frictionless and open channel conditions without needing full droplet submersion in an immiscible fluid. The fabricated nanostructured surfaces resist protein adhesion in a human plasma coagulation assay and significantly prolong clotting times and retain electrical conductivity, which is essential for electrical sensing applications. The developed hybrid interfaces are expected to have a wide range of applications in biosensing and biological sample preparation involving complex clinical and environmental samples.
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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) | 0.001 | 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 it