Temperature-Dependent Mixing Behavior of Tristearin and 1,2-Distearoyl-3-oleoyl-rac-glycerol (SSO)
Bibliographic record
Abstract
We explored the temperature-dependent polymorphism and thermal behavior of binary blends of the triacylglycerols tristearin (SSS) and 1,2-stearoyl-3-oleoyl-rac-glycerol (SSO). We created a kinetic phase diagram based on heating and cooling treatments from 80 to 20 °C at 1 °C/min and back. Under these conditions, SSS dominated SSO–SSS thermal behavior down to a mole fraction ( X SSS ) of 0.2. The presence of SSO at X SSO = 0.1 to 0.8 promoted the polymorphic transition of SSS from α to β, whereas SSS at X SSS = 0.1 to 0.7 enhanced the transition of SSO from double- and triple-chain length α-crystals to triple-chain length β′-crystals. Results showed that SSS was miscible in molten SSO in the metastable and stable polymorphs at all mole fractions studied. Finally, there was evidence of possible mixed crystal formation between SSO and SSS at X SSO = 0.2 to 0.9, for which we describe a number of possible causes. Outputs from this study provide further insights into the interactions of SSO and SSS as may occur during crystallization, fractionation, and product storage in fat-containing foods.
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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 | 0.000 |
| 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) | 0.001 | 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".