Microfluidic Cantilever Biosensors
Bibliographic record
Abstract
Although a microfabricated cantilever with a high quality factor can detect changes in its mass with unprecedented sensitivity, severe damping reduces it mass sensitivity when operated in a liquid medium thus restricting its use as a mass sensor for biomolecular detection. However, fabrication of cantilevers with embedded microfluidic channel allows confining liquids within them and enables their operation even in vacuum conditions for greatly reduced damping. Operating the microfluidic cantilever in vacuum allows mass-based detection of biomolecules in the liquid environment with unprecedented sensitivity. Although biomolecular detection based on mass using microfluidic cantilever is extremely sensitive, it cannot provide any molecular selectivity. However, coupling the cantilever with capillary gel electrophoresis for separation of biomolecules prior to detection provides an ideal technique for biomolecular detection. Making the cantilever bi-material will also allow infrared photothermal spectroscopy of molecules inside the cantilever. Mid-IR spectroscopy together with mass measurements of confined biomolecules in liquids offers molecular recognition in their native state without using any receptors.
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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) | 0.052 | 0.040 |
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; both teacher heads agree on what is shown here.
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".