Crystallization Behavior of High Behenic Acid Stabilizers in Liquid Oil
Bibliographic record
Abstract
Abstract The crystallization behavior and structure of mixtures of a high behenic acid stabilizer (HBS) in peanut oil, high oleic safflower oil and sesame oil were studied in order to elucidate the mechanism behind liquid oil stabilization. Both the chemical composition of the oil and cooling rate influenced the crystallization behavior and structure of HBS. The critical gelation concentration of HBS ranged from 6.5% for peanut oil crystallized at 3 °C/min to 11% for sesame oil mixtures crystallized at 0.6 °C/min. The free energy of nucleation (Δ G ) was the highest for sesame oil (142 kJ/mol) followed by high oleic safflower oil (75.8 kJ/mol) and peanut oil (15.9 kJ/mol). The HBS peanut oil mixture displayed the highest storage modulus ( G ′) under both cooling rates studied. In general, HBS‐oil mixtures crystallized at a higher cooling rate exhibited high SFC values, lower crystallization temperatures and a predominance of the β′ polymorph, and they had a microstructure characterized by uniformly sized spherulites. In contrast, slow cooling rates led to higher critical gelation concentrations of HBS, lower SFC, fractionation of higher melting and lower melting fractions, a more stable polymorphic form β and a wide range of spherulite sizes.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".