Penetration of Polyelectrolytes into Charged Poly(<i>N</i>-isopropylacrylamide) Microgel Layers Confined between Two Surfaces
Bibliographic record
Abstract
pH and temperature sensitive poly( N -isopropylacrylamide) (pNIPAm) microgel-based etalons were fabricated by sandwiching a “monolithic” microgel layer between two semitransparent, 15 nm Au layers. The devices exhibit visual color and multipeak reflectance spectra, both of which primarily depend on the distance between the Au surfaces (mediated by the microgel diameter). In this submission, we fabricate etalons from either pNIPAm- co -acrylic acid (pNIPAm- co -AAc) or pNIPAm- co - N -(3-aminopropyl)methacrylamide hydrochloride (pNIPAm- co -APMAH) microgels and investigate their response to the presence of polycations or polyanions. We show that when the etalon is at a pH that renders the microgels multiply charged, the microgel layer of the etalon deswells in the presence of the oppositely charged polyelectrolyte; it is unresponsive to the presence of the like charged polyelectrolyte. Furthermore, the etalon’s response depended on the thickness of the Au overlayer. For example, low molecular weight (MW) polyelectrolyte could penetrate all Au overlayer thicknesses, while high MW polyelectrolytes could only penetrate the etalons fabricated from thin Au overlayers. We hypothesize that this is due to a decrease in the Au pore size with increasing thickness, which excludes the high MW polyelectrolytes from penetrating the microgel-based layer. These devices show promise as MW selective sensors and biosensors.
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".