In Vacuo Glycation of Poly(<scp>l</scp>-Lysine): A Simple Method to Install Pendent Sugars
Bibliographic record
Abstract
Glycopolymers are valuable for biomedical applications due to their ability to mimic natural glycoconjugates, yet current synthetic methods often require complex chemistries or do not produce native linkages. Here, we report a simple in vacuo glycation method to functionalize poly(l-lysine) (PLL) with pendent sugars, inspired by natural nonenzymatic glycation. PLL was incubated with various reducing sugars in vacuo at elevated temperatures, enabling efficient conjugation via native-like ketoamine linkages without additional chemical modifications or activating agents. The best evaluated conditions for d-glucose involved 4 sugar equivalents, pH 8, and 65 °C, yielding >95% functionalization with minimal advanced glycation end-product (AGE) formation or cross-linking. Aldohexoses such as d-mannose and d-galactose were also successfully conjugated under slightly modified conditions (70 and 60 °C, respectively), while ketoses, pentoses, and trioses led to insoluble, cross-linked products due to increased AGE formation. Reducing disaccharides exhibited limited conversion, likely due to steric hindrance. Structural characterization confirmed efficient sugar installation and preservation of polymer solubility. This in vacuo glycation approach offers a straightforward, biomimetic route to glycopolymer synthesis from amine-bearing polymers, expanding the toolkit for designing bioinspired materials for biomedical and material science applications.
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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 | 0.001 | 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".