Flexible enclosure for fluidic sealing of microcomponents
Bibliographic record
Abstract
A flexible enclosure for fluidic sealing of SU-8 microcomponents was developed using polydimethylsiloxane (PDMS). The flexible enclosure can be mechanically assembled to SU-8 microchannels even in the presence of liquid. The seal is mechanical and completely reversible, thus allowing the channels to already contain immobilized enzymes or cells prior to assembly. To provide such a reversible fluid tight lid, the PDMS and SU-8 substrates contain interlocking structures that facilitate assembly and sealing together of the two substrates. Interlocking 1 mm ridges/holes and 400 μm ridges/grooves were fabricated on PDMS and SU-8 surfaces that hold the two pieces in place to prevent PDMS lid and SU-8 microchannels separation during handling and fluid flow. Furthermore, a 20 μm bump on the PDMS surface, which has the same width and length dimensions as the 400 μm deep SU-8 microchannel, acts as a plug to keep the fluid within the microchannel and prevent leakage between the PDMS-SU-8 interface. The assembled microchannels and enclosures can withstand manually applied fluidic pressure via a syringe which is noticeably higher than channels with a simple lid and no interconnect structures. The device was additionally quantified for pressure versus flow rate using a syringe pump and pressure sensor. The seal remained leak free up to 0.6 ml/min and 2.36 kPa. In addition, a preliminary cell viability test was conducted with leukemia cells and we observed that cells lived in the channel microenvironment for 24 hours.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".