Design and characterization of a multi‐layered polymeric drug delivery vehicle
Bibliographic record
Abstract
Abstract Aptamer‐mediated targeted delivery is a promising advanced therapeutic delivery strategy with the potential to provide site‐directed cyto‐toxicity to malignant cells. However, effective translation of preclinical aptamer‐navigated targeted delivery data into clinical success has been challenged by several biophysical and biochemical factors including rapid renal clearance, endonuclease‐induced degradation, and cell membrane electrostatic repulsion. Aptamer‐conjugated biopolymer systems represent new and smart drug carriers capable of delivering adequate amounts of drug molecules sufficient to elicit effective in vivo therapies at target sites in a controlled and sustained drug release pattern. In this work, a novel co‐polymeric multi‐layer BSA‐loaded thrombin aptamer‐conjugated PLGA‐PEI (DPAP) formulation was synthesized using a w/o/w double emulsion and characterized layer‐by‐layer in vivo. DLS analysis of the DPAP particles showed a positively charged DPAP particulate system with a D[4,3] average hydrodynamic size of ∼0.866 μm and a zeta potential of +9.85 mV. The zeta potential and D[4,3] average hydrodynamic size of DPAP layered compartments demonstrated pH‐dependence but are not temperature dependent. The ionic strength of the binding medium affected the degradation and release rates of DPAP micro‐particles. A strong binding strength and shielding effect of DPAP towards encapsulated BSA molecules was observed under increasing ionic strength. Thermogravimetric analysis showed that the DPAP formulation decomposes at ∼300 °C, demonstrating the thermal stability of the polymer composite for effective storage in temperate environments. The data from this study is vital to engineer the interactions between DPAP polymeric system and cellular structures in order to enhance targeting events. While the DPAP construct demonstrates a great potential for targeted delivery, more in vivo delivery work is essential to prove its pre‐clinical targeting capability.
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".