Phase Diagram of Glycerol Monostearate and Sodium Stearoyl Lactylate
Bibliographic record
Abstract
The phase behavior of two solid emulsifiers glycerol monostearate (GMS) and sodium stearoyl lactylate (SSL) was examined using differential scanning calorimetry (DSC), small and wide-angle X-ray scattering (SAXS and WAXS), and ultra small angle X-ray scattering (USAXS). The phase behavior of GMS–SSL in water (gelled aqueous dispersions) was also examined. For the nonaqueous systems, GMS and SSL were immiscible in the range of 20–80% and exhibited phase separation. On the other hand, systems with higher than 80% GMS or higher than 80% SSL were miscible and remained mixed after 4 weeks. Increasing the amount of SSL in GMS–SSL mixtures caused a reduction in the transition temperature of the sub-α phase and the melting temperature of GMS. Furthermore, adding up to 20% SSL to GMS slowed down the polymorphic transition of GMS from the α phase to the ß phase. Examination of the stability and polymorphic behavior of gelled aqueous dispersions of GMS–SSL mixtures revealed similar structural and thermal properties to their corresponding neat systems.
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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) | 0.002 | 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".