Toward Nanoscale Engineering of Triacylglycerol Crystal Networks
Why this work is in the frame
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Bibliographic record
Abstract
Cryogenic transmission electron microscopy and X-ray diffraction techniques were used to analyze the effect of crystallization conditions on the nanostructure of triacylglycerol crystal networks. Nanoplatelet size was strongly affected by composition and degree of supersaturation in the melt, as well as external fields during crystallization, such as cooling and shear rate. Chemical interesterification induced a decrease in nanoplatelet size, while increases in the solid mass fraction also resulted in a decrease in nanoplatelet dimensions. Fast cooling rates and crystallization under shear produced a significant decrease in platelet length, width, and thickness. This work opens up the possibility of judiciously engineering the nanoscale of fat-structured products in order to formulate products with specific functionalities including hardness, liquid oil binding, water vapor barrier properties, and metabolic response in humans.
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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 | 0.000 | 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 | 0.000 | 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 it