Anchoring 20(R)-Ginsenoside Rg3 onto Cellulose Nanocrystals To Increase the Hydroxyl Radical Scavenging Activity
Bibliographic record
Abstract
Cellulose nanocrystals (CNCs) exhibit attractive properties as carriers for bioactive molecules, including their large surface area, charge characteristics, and abundant surface hydroxyl groups, among others. In this study, we used CNCs as carriers for a hydrophobic drug, 20(R)-ginsenoside Rg3 (here abbreviated as 20(R)-Rg3), to improve its bioavailability, dispersity, and antioxidation activity in an aqueous system. The CNC/20(R)-Rg3 nanocomposites were fabricated and then characterized by transmission electron microscopy, Fourier transform IR spectroscopy, and X-ray diffraction. The particle size of 20(R)-Rg3 was in the range of 8–22 nm. In vitro hydroxyl radical scavenging by the 2-deoxyribose oxidation method and the salicylic acid hydroxylation method showed that the CNC/20(R)-Rg3 nanocomposites had much higher antioxidation activity (33.58% and 48.62%) than CNC-free 20(R)-Rg3, water-dispersed 20(R)-Rg3, and CNCs.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 source (direct Gemma or distilled Codex), 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".