Synthesis and Evaluation of Novel Dendrimers with a Hydrophilic Interior as Nanocarriers for Drug Delivery
Bibliographic record
Abstract
Novel polyester-co-polyether dendrimers consisting of a hydrophilic core were synthesized by a combination of convergent and divergent syntheses. The core was synthesized from biocompatible moieties, butanetetracarboxylic acid and aspartic acid, and the dendrons from PEO (poly(ethylene oxide)), dihydroxybenzoic acid or gallic acid, and PEG monomethacrylate. The dendrimers, Den-1-(G 2) (second generation dendrimer-1) and Den-2-(G 2) (second generation dendrimer-2) consisting of 16 and 24 allyl surface groups, respectively, were obtained by coupling the dendrons to the core. The dendrimer (Den-1-(G 2)-OH) with hydroxyl groups at the surface was synthesized by oxidation of the allyl functional groups of Den-1-(G 2), which was divergently coupled to the dendrons to obtain the third generation dendrimer Den-1-(G 3) consisting of 32 surface groups. The modifications in surface groups and generation of dendrimers were shown to influence the shape of dendrimers in the AFM studies. The aggregation as well as self-assembly of dendrimers was observed at high concentration in water by light scattering studies; however, it was reduced on dilution and in the presence of sodium chloride. Dendrimers demonstrated good ability to encapsulate the guest molecule, with loading of 15.80 and 6.47% w/w for rhodamine and beta-carotene, respectively. UV spectroscopy proved the absence of any pi-pi complexation between the dendrimer and encapsulated compounds. (1)H NMR and FTIR studies showed that the physical entrapment and/or hydrogen bonding by PEO in the interior and branch of the dendrimer are the mechanisms of encapsulation. The release of the encapsulated compounds was found to be slow and sustained, suggesting that these dendrimers can serve as potential drug delivery vehicles.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".