Oiling-Out Investigation and Morphology Control of β-Alanine Based on Ternary Phase Diagrams
Bibliographic record
Abstract
Crystallization is widely utilized as a purification technique in industries. Frequently in the course of crystallization, oiling-out, or termed liquid–liquid phase separation (LLPS), occurs and strongly influences the morphology of crystals. To research how to control and optimize the crystal habits when there is oiling-out, we investigated the β-alanine–water–isopropanol ternary system. Four ternary phase diagrams at 25, 30, 35, and 40 °C were constructed to provide a thermodynamic basis and guidance for the crystallization process. Moreover, to fully analyze the LLPS nucleation mechanism of β-alanine, the tie lines of the ternary diagram were constructed, and the site of nucleation was determined. Besides, on the basis of the phase diagram, evaporative crystallization was performed to investigate oiling-out crystallization. Furthermore, tabular crystals, octahedron shaped crystals, and spherical crystals were obtained respectively from normal crystallization, oiling-out crystallization, and quasi emulsion solvent diffusion crystallization.
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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".