Effect of Xylan Structure on Reactivity in Graft Copolymerization and Subsequent Binding to Cellulose
Bibliographic record
Abstract
The grafting reactivities with glycidyl methacrylate (GMA) of five xylans from hardwood and cereal sources were compared. The structural property that best predicted the reactivities of xylans with GMA was the fraction of 4-O-methylglucuronic acid (MeGlcA) substitution. A comparatively high level of arabinose substitution was also positively correlated to reactivity with GMA. The impact of MeGlcA and arabinose branching groups is likely attributed to the solubilizing effect of these substituents. Consistent with this prediction, low water solubility and high lignin content were found to hinder reactivity. Even though oligomeric substrates have the advantage of water solubility, modified xylo-oligosaccharides were difficult to purify. Accordingly, delignified and high-molecular weight xylans that are soluble or dispersible in water are best suited for this type of backbone derivatization. Adsorption studies with a quartz crystal microbalance with dissipation indicated that grafting lowered the total adsorption of arabinoxylan but did not significantly affect the fraction of xylans adsorbed irreversibly on cellulose.
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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 | 0.000 |
| 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".