Phase Transition and Polymorphic Behavior of Binary Systems Containing Fatty Alcohols and Peanut Oil
Bibliographic record
Abstract
This study reports a detailed characterization of the phase transition behavior and polymorphism of fatty alcohols with different chain lengths in peanut oil. Upon crystallization, fatty alcohols nucleated into rotator phases, which then transformed into well-defined crystal polymorphs. At concentrations greater than 30%, fatty alcohol crystals were in the monoclinic γ-form with a lamellar thickness that decreased as the length of the carbon chain of the fatty alcohols decreased. At concentrations lower than 30%, on the other hand, fatty alcohol crystals formed an orthorhombic β′-form. In this case, two main crystal families with lamellar thicknesses were detected. In particular, the thicker family range was from 5.95 to 4.96 nm moving from 1-docosanol to 1-hexadecanol while the thinner family range was from 4.98 to 3.68 nm. The thicker crystal population progressively decreased, while the thinner crystal population increased, suggesting an interconversion between these species. The kinetics of these changes increased crystallizing the systems at 20 °C. Ultrasmall-angle X-ray scattering was used to characterize nanoscale structure and mesoscale crystal aggregation. It was found that crystal aggregates were characterized by a diffuse surface with crystallites in the range of 125–765 nm and a mass fractal dimension for crystals aggregation of 2.26–2.7.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".