Surface Interpenetrating Networks of Poly(ethylene terephthalate) and Polyamides for Effective Biocidal Properties
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
Abstract Poly(ethylene terephthalate) (PET) fabrics were modified by diffusing vinyl amide monomers, divinyl crosslinker N , N ′‐methylenebisacrylamide (MBA) and photoinitiator benzophenone (BP) into the surface of the PET substrate, which was swollen in a mutual solvent. Subsequent in situ photo‐polymerization resulted in the stable entrapment of the polyamides within the surface of the PET. The PET/polyamide systems produced by this technique were physically inseparable except by melting or dissolving PET. It is referred to as a sequential interpenetrating polymer network (IPN): thermoplastic semi‐IPN. Analyses of these materials by infrared spectroscopy, X‐ray photoelectron spectroscopy (XPS) and scanning electron microscopy (SEM) confirmed the successful incorporation of polyamide and revealed that the polyamide is also uniformly distributed along the PET yarns. Modulated differential scanning calorimetry (MDSC) indicated a certain degree of phase‐mixed structure between PET and polyacrylamide, despite the thermodynamic incompatibility of two polymers, which could be induced to separate upon heating above the melting point of PET. These materials were stable upon Soxhlet extraction with distilled water for 72 h, and also with methanol for 24 more hours. After being converted to N ‐halamine via chlorine bleaching, these materials can bring 100% reduction of the hospital acquired methicillin‐resistant Staphylococcus aureus within 10 min contact. magnified image
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