Scalable and Customizable Trimaterial Microneedle Electrochemical Biosensor Platform With Cleanroom-Free Fabrication
Bibliographic record
Abstract
This work reports a rapid, cleanroom-free route for fabricating three-electrode microneedle electrochemical biosensors by repurposing the high speed wire bonding technique from the semiconductor industry. The 50 µm diameter Au, Pt, and 30 µm Ag wires were bonded to commercial printed circuit boards (PCBs) to produce freestanding microneedles (MNs) that served as working (WE), counter (CE), and reference (RE) electrodes. Ag MNs were galvanostatically chlorinated to form Ag/AgCl reference electrodes with low drift, −3 ± 0.3 mV over 24 h in phosphate-buffered saline. Au MNs were coated with PEDOT:PSS/glucose oxidase for amperometric glucose sensing from 5–25 mM (sensitivity = 0.37 µA mM-1, +0.50 V working voltage), covering the physiologic range for diabetes management. Platform versatility was demonstrated by nanomolar-range detection after the addition of an aptamer self-assembled monolayer on wire bonded Au MNs. This fully automated, additive wire bonding process provides submillimetre electrode spacing, < US$2 materials cost per trielectrode array, and seamless integration with external sensing hardware for wearable applications owing to the PCB-substrate based approach. We demonstrate a scalable pathway toward multiplexed MN patches for continuous interstitial fluid monitoring and other microneedle-based minimally invasive biosensing 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 | 0.000 | 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 | 0.000 |
| 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".