Washless Method Enables Multilayer Coating of an Aggregation‐Prone Nanoparticulate Drug Delivery System with Enhanced Yields, Colloidal Stability, and Scalability
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Aggregation is frequently encountered during coating nanoparticles, especially when the core is not solid and the coating polyelectrolytes are weak. Here, the coating of a nanoliposome with two weak polyelectrolytes, alginate and chitosan, is investigated. First, quartz crystal microbalance with dissipation, atomic force microscopy, scanning electron microscopy, and energy dispersive spectroscopy analyses confirm the feasibility of firm adsorption of up to 16 layers of weak polyelectrolytes to the liposomal surface. Titrations are then performed to identify the lowest amounts of polyelectrolytes required to make eight saturated coating layers using the washless method. Significantly improved yields and reproducibility (almost 100%) are achieved, in addition to control over layer thickness. Attenuated total reflectance Fourier transform infrared spectroscopy studies confirm the success of layering. This is special since scientists always attempt to reduce nanoparticle aggregation by substituting the soft core, using one strong polyelectrolyte, or contending with lower yields or numbers of coating layers.
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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 | 0.002 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 it