Functionalization of quartz tuning fork sensor with a thin layer of dopamine for enhanced sensitivity
Why this work is in the frame
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Bibliographic record
Abstract
Quartz tuning fork (QTF) sensors are widely used in various sensing applications due to their high sensitivity, stability, and accuracy. This study explores the functionalization of QTF sensors with a thin coating of polydopamine which can be used a molecular receptor for specific analytes. Dopamine is a neurotransmitter that plays a critical role in the brain's reward and pleasure centers, has been shown to have unique chemical and physical properties that make it a valuable functionalization agent for sensing applications. The functionalized QTF sensors were characterized using measurements of their resonance frequency which is an indication of coated mass of dopamine on the individual prongs of the QTF sensors. Additionally, the coatings were characterized through scanning electron microscopy and Fourier-transform infrared spectroscopy. The performance of the functionalized sensors was evaluated by measuring their response to various thickness of the polydopamine coating.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 it