Highly pH and Temperature Responsive Microgels Functionalized with Vinylacetic Acid
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Temperature-responsive microgels based on poly( N -isopropylacrylamide) (PNIPAM) and functionalized with vinylacetic acid (VAA) are observed to exhibit a host of novel swelling responses compared with equally functionalized microgels prepared using the conventional acrylic acid (AA) and methacrylic acid (MAA) comonomers. VAA−NIPAM microgels are ionized over a narrow pH range and show functional group p K a values which are independent of the degree of ionization. Ionization induces a much larger swelling response in VAA−NIPAM microgels than in the conventional microgels; upon ionization at physiological temperature, VAA−NIPAM swells 3 times more than either AA−NIPAM or MAA−NIPAM. VAA−NIPAM microgels also display sharp, PNIPAM-like thermal deswelling profiles when protonated but, upon ionization, undergo no volume phase transition up to at least 70 °C. The highly responsive and tunable ionization and swelling profiles observed for VAA−NIPAM are consistent with the tendency of VAA to behave as a chain transfer agent, resulting in the incorporation of a large number of well-separated VAA units on highly mobile chain ends at or near the microgel surface. VAA−NIPAM microgels may thus be ideal for use in biomolecule separation, medical diagnostics, and biodelivery applications in which sharp responses to multiple environmental stimuli are required.
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.
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 it