Microfluidic studies of polymer adsorption in flow
Bibliographic record
Abstract
Adsorption of polymers from solutions moving past solid or liquid surfaces controls a broad range of phenomena in science, technology, and medicine. In the present work, a microfluidic methodology was developed to study polymer adsorption in flow under well-defined conditions by integrating an attenuated total reflection-Fourier transform infrared (ATR-FTIR) spectrometer with a microfluidic device. Polymer adsorption in flow using exemplary polyelectrolytes such as polystyrene sulfonate and polyacrylic acid was studied under varying flow rates, polymer concentrations, pH values, and ionic strengths of the solution. Furthermore, the microfluidic platform was utilized to study layer-by-layer adsorption of alternating anionic and cationic polyelectrolytes such as polyacrylic acid and polyallylamine hydrochloride. The proposed methodology paves the way for studies of in-flow adsorption of biologically relevant molecules, which would mimic processes occurring in the cardiovascular microcirculation system.
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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) | 0.000 | 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) | 0.001 | 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".