The Synthesis and Characterization of Magnetic Chitosan-poly(N,Ndiethylacrylamide) Semi-IPN Films
Bibliographic record
Abstract
The aim of this study was to investigate the effect of Fe3O4 (magnetite) nanoparticles on the properties of magnetitecontaining chitosan-poly(N,N-diethylacrylamide) semi-interpenetrated network (CS-DE-M semi-IPN) films. For that purpose, nanosized ( 50 nm) magnetite-containing CS-DE-M semi-IPN films were prepared at four different initial N,N-diethylacrylamide concentrations. For the comparison purpose, CS-DE semi-IPN films without magnetite were also prepared under the same conditions with those of CS-DE-M films. The structural and thermal characterization of CS-DE-M and CS-DE films were performed by FTIR and DSC methods, respectively. The variation of swelling behavior of semi-IPN films with temperature was investigated in distilled water at four different temperatures between 10 -40 o C with step of 10 o C. The equilibrium swelling values of CS-DE films were found to be three times higher than those of CS-DE-M films at all investigated temperatures. The swelling values of both polymer films decreased with the increase in DE concentration in CS solution. In addition, the lowest swelling was observed at 10 o C, and it increased with the increase in temperature in contrary to the expected results from a thermo-responsive polymer such as poly(N,N-diethylacrylamide). Normally, the swelling of a thermoresponsive polymer decreases with temperature, in the case of CS-DE and CS-DE-M films, however, the maximum poly(N,N-diethylacrylamide) content is between 27% and 57%, and it is too low to display a response to temperature as shrinking.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".