Combined Analysis of Polycation/ODN Polyplexes by Analytical Ultracentrifugation and Dynamic Light Scattering Reveals their Size, Refractive Index Increment, Stoichiometry, Porosity, and Molecular Weight
Bibliographic record
Abstract
Analytical ultracentrifugation (AUC) and dynamic light scattering (DLS) were combined to characterize polyplexes formed with 10 kDa chitosan or 10 kDa PEI and oligodeoxynucleotides (ODN). Combined analysis revealed that both polyplexes were highly porous (over 80%) and that their weight average hydrodynamic diameters were of 46 and 55 nm for chitosan/ODN and PEI/ODN complexes, respectively. Transformation of the sedimentation coefficient distribution to a size and molecular weight distribution gave an average molecular weight of 19 and 29 MDa for chitosan and PEI polyplexes, respectively. Data from AUC also allowed for the calculation of the actual dn/dc and N/P ratios of each polyplex. Additional data from scanning electron microscopy and static light scattering confirmed the conclusions that were initially derived from AUC and DLS, thus validating that the combination of AUC and DLS is a powerful approach to characterize polyplexes in terms of refractive index increment, size, and molecular weight distributions, as well as porosity.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".