Investigation of the Crystallization and Melting of the Tripalmitin/Triolein System via Hot Stage Microscopy, Differential Scanning Calorimetry, and Pulsed NMR
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide The isothermal crystallization kinetics and melting behavior of mixtures of tripalmitin (PPP) and triolein (OOO) were investigated using hot stage microscopy (HSM), with supporting differential scanning calorimetry (DSC) and NMR measurements. Some melting points determined via HSM and DSC were higher than predicted by the Hildebrand equation, but solid fat content melting profiles from NMR were close to ideal predictions. The observed deviations from ideal behavior with HSM/DSC could be attributed to concentration gradients in the liquid phase, rather than from nonideality. Sufficient time should therefore be allowed in melting experiments for diffusional equilibration to occur—the remelting time should generally be longer than the crystallization time. When crystallizing mixed PPP/OOO samples, two distinct polymorphs could be seen in the same “crystal”, with an outer ring of β′ surrounding an inner circle of β. Polymorphic transformation from β′ to β could be seen to occur via dissolution through a narrow liquid interface region between the two crystals. Growth rate data for β′ were proportional to the reduced saturation (or supercooling) calculated assuming ideal behavior. Growth rates of β via the solvent/melt mediated transformation of the β′ form could be related to driving forces based on the difference in solubility of the β′ and β forms.
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 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".