Study on the Oiling-out and Crystallization for the Purification of Idebenone
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Oiling-out, also termed as demixing or liquid–liquid phase separation (LLPS), frequently occurs in the crystallization process of pharmaceuticals and normally results in slow crystal growth, uncontrollable crystal morphology, and low purity of products. In this work, the oiling-out and cooling crystallization of idebenone were investigated. The cooling crystallization and the purity of its products were found to depend upon whether an oiling-out occurred in the course of cooling. At low initial concentrations (e.g., 12 mg/mL), oiling-out did not take place, and the crystallization products possessed higher purity. At moderate initial concentrations (e.g., 25 mg/mL) small quantities of oil droplets formed and then coalesced into larger droplets, which subsequently crystallized into products with lower purity. When high initial concentrations (e.g., 31 mg/mL) were employed, large quantities of oil droplets formed a stable oil phase, and thus no products could be harvested. In addition to initial concentration, other parameters such as solvent, cooling rate, and seeding also affected the occurrence of oiling-out. On the basis of the above results, the approach to purifying idebenone through cooling crystallization will be found.
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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 | 0.004 | 0.001 |
| 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 it