Mesh size analysis of cellulose nanofibril hydrogels using solute exclusion and PFG-NMR spectroscopy
Bibliographic record
Abstract
The pore structure of TEMPO-mediated oxidized CNF hydrogels, chemically cross-linked with water-soluble diamines, is studied. A solute exclusion method and pulsed-field-gradient NMR are used to estimate the mesh size distribution in the gel network in its hydrated state. Dextran fractions with the nominal molecular weights in the range of 10-2000 kDa are used as probes. The results show a nonuniform network structure, consisting of a group of large openings that contain ∼50% of water, and regions with a more compact structure and smaller mesh units that restrict the diffusivity of the dextran molecules. A biexponential model is proposed for the NMR echo amplitude decay due to the probe diffusion into the gel network. A typical single exponential model does not fit the experimental data when the probe molecular size is comparable to the network mesh size. The results obtained with NMR, using the proposed biexponential model, are in very good agreement with those determined with solute exclusion. Precise mesh size estimation with solute exclusion using pore models is subject to restrictions, and vary with the assumed pore geometry. The average mesh size obtained using a spherical pore model, ∼35 nm, in the compact regions of the hydrogel, is in good agreement with the theoretical value in a network of rodlike particles. Neglecting the wall effects leads to underestimation of the mesh size with both techniques.
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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) | 0.001 | 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 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".