Solubility of Cholesterol in Quaternary Mixtures of Bile Salt, Lecithin, Inorganic Salt, and Water at 310.2 K
Bibliographic record
Abstract
The solubility of cholesterol (Ch) in quaternary mixtures of bile salt (BS), lecithin (L), inorganic salt (Ca 2+ ), and water, which can be used as model biles was measured at 310.2 K in this work. The accurate concentrations of bile salt, lecithin, and cholesterol were determined by high performance liquid chromatography (HPLC). The effect of bile salt/lecithin molar ratio, bile salt concentration, total lipid concentration, and Ca 2+ concentration on the solubility of cholesterol were investigated in detail. The results show that the cholesterol solubility monotonically increases with the increase of the concentration of bile salt or total lipid. The cholesterol solubility first increases with the bile salt/lecithin molar ratio when the bile salt/lecithin molar ratio is lower than 1 and then decreases when the bile salt/lecithin molar ratio further increases. In addition, the existence of Ca 2+ in the model biles will significantly decrease the solubility of cholesterol.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".