Characterization of Amino Cross‐Linked Soy Protein Hydrogels
Bibliographic record
Abstract
This study focused on amino cross-linking as means of forming soy protein hydrogels with modifiable properties. The efficiency of glyceraldehyde, a potential food-grade cross-linking agent, was compared to glutaraldehyde, a well-known dialdehyde. The influence of the concentration of these agents on the degree of cross-linking as well as macroscopic and supramolecular properties was studied. The effect of increasing the cross-linker concentration was mainly an increase in degree of cross-linking and gel storage modulus (G') and a decrease in gel swelling ratio and increase in gel deswelling ratio. However, the cross-linking influence was less pronounced in the case of glyceraldehyde. Glutaraldehyde displayed greater ability to form hydrogels with modifiable properties. Finally, electron micrographs suggested that cross-linking agent type had no impact on gel microstructure.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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 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".