Continuous Size-Separation of Airborne Particles in a Microchannel for Aerosol Monitoring
Bibliographic record
Abstract
The real-time monitoring of aerosols is important for protecting human health and the environment. The small size of microchannels and their potential for integration with sensing technologies suggest them as a promising tool for the next generation of aerosol sensors. To that end, we present a novel microfluidics-based system for the size-separation of aerosols using the centrifugal force exerted on each particle as it travels around a curve. We demonstrate with simulations and experiments the separation by size of mixtures of aerosolized microspheres with diameters ranging from 0.2-3.2 μm. With bidisperse particle sizes in a single-outlet channel, a separation efficiency is defined to quantify how much of each of the two sizes of particles are located in distinct regions of the channel; the separation of mixtures at up to 80% separation efficiency is demonstrated. Particles are also separated into two or three outlets, each containing a different distribution of particles by size. Both experimental particle position and separation efficiency results match well with the simulations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".