A New Microcrystalline Phytosterol Polymorph Generated Using CO<sub>2</sub>-Expanded Solvents
Bibliographic record
Abstract
Phytosterols have been receiving increasing attention due to their demonstrated health benefits. Micronization of phytosterol particles is desirable to enhance their physiological efficacy. Utilization of the environmentally friendly compressed fluid-based technology, called Depressurization of an Expanded Liquid Organic Solution (DELOS) was investigated to micronize a phytosterol mixture. A new polymorph of β-sitosterol, which was more crystalline than the native form, was obtained from the DELOS process regardless of the process conditions. In addition, particle size was reduced by an order of magnitude. The crystal structure of the new polymorph was determined from X-ray powder diffraction data. The proposed crystal structure for β-sitosterol, which contains a number of nearly isosteric vicariant molecules of lower molecular weight (mostly campesterol and campestanol, accounting in a crystalline solid-solution for nearly 10% of the molecular mixture) allows the presence of small cavities, in which some residual solvent molecules are temporarily trapped. Further structural analysis of the new and native polymorphs were performed by laser diffractometry, scanning electron microscopy, differential scanning calorimetry, thermogravimetric analysis, and X-ray powder diffraction. Findings of the study provide a route to obtain nutraceutical products that might show enhanced functional properties.
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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".