Irreversible PDMS bonding using flame activation of adhesives for fabrication of microfluidic and organ-on-chip devices
Bibliographic record
Abstract
Abstract Polydimethylsiloxane (PDMS) is widely used for microfluidics fabrication in many disciplines due to its ease of use in soft lithography and its ability to bond liquid-tight seals. A variety of PDMS-PDMS bonding methods exist, but each may have limitations for some applications. For example, chemical bonding via oxygen plasma treatment is reliable but requires expensive equipment and specialized training. Here we present a rapid, low-cost, and accessible method for irreversible PDMS bonding in which flame treatment activates PDMS and Nitto 5302A adhesive surfaces. Using this technique, PDMS microchannels can be fabricated with a bonding integrity of up to 325 kPa burst pressure. This technique is suitable for fabricating organ-on-chip devices for cell line and primary cell culture, supporting cell viability and establishment of key cellular features in apical and basal compartments, while maintaining bonding integrity.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".