Complete Physicochemical Characterization of DNA/Chitosan Complexes by Multiple Detection Using Asymmetrical Flow Field-Flow Fractionation
Bibliographic record
Abstract
Asymmetrical flow field-flow fractionation (AF4) coupled with UV-vis spectrophotometry, multiangle light scattering (MALS), and dynamic light scattering (DLS) detection was used to analyze dispersions of DNA/rhodamine B labeled chitosan (Ch-rho) complexes frequently used as gene delivery vectors. The method yielded, in a single experiment, important characteristics of the complexes, such as their hydrodynamic radius, size distribution, conformation, composition, and the amount of free Ch-rho in the dispersions. Samples for analysis were obtained by varying experimental parameters known to influence the transfection efficiency of DNA/chitosan complexes, including the DNA concentration at mixing (82-164 μg/mL), the ratio of chitosan amino groups to DNA phosphate groups (3 ≤ N/P ratio ≤ 15), the chitosan molecular weight (10-76 kDa), and its degree of deacetylation. In all preparations, DNA/Ch-rho complexes had hydrodynamic radii ranging from 15 to 160 nm. Both the DNA concentration and the Ch-rho molecular weight influence the size distribution of the complexes: a greater fraction of large particles was detected in dispersions prepared with the most concentrated DNA solution or the Ch-rho of highest molar mass. All dispersions contained free Ch-rho in solution. The free Ch-rho content ranged from 53 to 92% of the total Ch-rho concentration in dispersions prepared with N/P ratios from 3 to 15, respectively, implying that the N/P ratio of the complexes ranged from 1.3 to 1.6 in all samples. The accuracy of the free Ch-rho determination by AF4/UV-vis/MALS+DLS was confirmed by an independent method involving (1) ultracentrifugation of the dispersions prepared with unlabeled chitosan and (2) analysis of the supernatant by the Orange II dye depletion method. This study demonstrates the ability of AF4/UV-vis/MALS+DLS to provide a complete physicochemical characterization of DNA/polycation complexes used in nonviral gene delivery.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".