All-Solution-Processing of Nanoporous and Wrinkled Electrodes on Polymer Substrates for Use in Electrochemical Biosensing
Bibliographic record
Abstract
Multi-lengthscale electrodes that combine features from the nanometer to millimeter scale are of tremendous interest for use in electrochemical biosensors due to their increased analytical sensitivity and their enhanced interaction with biomolecular analytes. In this paper, we present a benchtop rapid prototyping approach based on all-solution-processing for creating multi-lengthscale electrodes on polymer substrates. Multi-lengthscale electrodes are created by combining xurography, nanoparticle self-assembly, electroless deposition, and polymer-induced thin film wrinkling. Xurography is used to develop a mask for implementing the electrode configuration on polymeric substrates with micrometer resolution. A nanoparticle seed layer is deposited with the aid of molecular linkers to direct the electroless deposition processes to desired locations on the substrate. Electroless deposition is used to create a uniform and conductive thin film on a shrinkable polymer substrate. Thin film wrinkling induced using a shape memory polymer is then used to develop tunable wrinkles with minimum feature sizes in the micro/nanoscale. It is observed that the structural parameters of the wrinkled film such as pore density, wrinkle wavelength, and wrinkle peak-to-valley values are controllable by varying the electroless deposition duration. This structural variability is then used to tune the functional parameters of the electrodes such as sheet resistance and electroactive surface area. The combination of electroless deposition with polymer-induced thin film wrinkling results in thin films having a sheet resistance of 0.39±0.04 Ω/□, which is comparable to films of the same thickness deposited by sputtering. We used the electrodes developed here for enzyme-free glucose detection due to their high surface area induced by the combination of porosity and wrinkling. The results demonstrate that the sensitivity of these electrodes can be tuned by varying the electroless deposition duration. The optimal porous and wrinkled electrodes demonstrate a sensitivity of 23 µA/mM.cm 2 for enzyme free glucose detection, which is 18 times larger than the sensitivity measured with planar electrodes. In sum, an all-solution-processing method is developed, which allows electrodes of various configurations, with tunable features from the nanometer to millimeter scale to be created in a matter of hours. The structural tunability offered by this fabrication method, allows the functional parameters of the electrodes such as sheet resistance, electro-active surface area, and analytical sensitivity to be tuned. The application of the porous and wrinkled electrodes created in this work to enzyme-free glucose detection is demonstrated.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 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".