Macromolecular sorbent materials for urea capture
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Bibliographic record
Abstract
Abstract Three types of chitosan–glutaraldehyde (Chi–Glu) crosslinked copolymer materials were prepared at various Chi–Glu weight ratios (i.e., 1 : 0.0835, 1 : 0.334, and 1 : 0.585) and variable reaction times. The corresponding Chi–Glu copolymer materials were imbibed in CuSO 4 solution to yield impregnated materials in the form of copolymer/Cu(II) complexes. The copolymer materials were characterized using FTIR spectroscopy and thermogravimetry analysis. Urea sorption isotherms were obtained in aqueous solution at 295 K and pH 7 with pristine chitosan, Chi–Glu copolymers (i.e., 1 : 0.0835 and 1 : 0.585), and the corresponding Chi–Glu/Cu(II) complexes. The concentration of unbound urea was monitored indirectly using a colorimetric method with p ‐dimethylaminobenzaldehyde. The equilibrium adsorption data were analyzed using the Sips isotherm model. The uptake of urea with pristine chitosan was 4.7% w/w, whereas Chi–Glu copolymers display increased sorption ( Q m = 10.6–17.1% w/w) with increasing glutaraldehyde content. Urea sorption is further enhanced ( Q m = 16.3–26.4% w/w) for copolymer Chi–Glu/Cu(II) complexes. The preparation of Chi–Glu copolymers at various conditions illustrates that the sorption capacity and molecular recognition of urea can be systematically tuned via crosslinking and the formation of copolymer/Cu(II) complexes, and these results are related to a previously reported study (Shimizu and Fujishige, J. Biomed. Mater. Res . 1983, 17, 597). © 2012 Wiley Periodicals, Inc. J. Appl. Polym. Sci., 2013
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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 | 0.003 | 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 | 0.001 |
| 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 it