Correlating the Solubility Behavior of Fatty Acids, Mono-, Di-, and Triglycerides, and Fatty Acid Esters in Supercritical Carbon Dioxide
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
The knowledge of the solubility behavior of different lipid classes in supercritical carbon dioxide (SCCO 2 ) is of great importance in the design of SCCO 2 fractionation, extraction, and reaction processes. Solubility data from the literature for binary mixtures of SCCO 2 and pure lipids (fatty acids, mono-, di-, and triglycerides, and fatty acid esters) were correlated using Chrastil's equation to determine the effect of compound properties (molecular weight and polarity) and operating conditions (density of CO 2, pressure, and temperature) on the solubility behavior. The physical state of the lipid solute had a significant effect on model parameters and, hence, the solubility behavior. An isothermal increase in the pressure and a temperature increase at constant CO 2 density led to an increase in solubility for all the compounds studied. Retrograde solubility behavior was observed for liquid solutes, whereas the solid solutes were in the nonretrograde region under the examined conditions. In a homologous series, solubility decreased with an increase in the molecular weight and polarity. The effect of solute properties on solubility was observed to be dependent on operating conditions. The solubility behaviors of pure lipid classes outlined in this study are intended to provide the basis for further study of complex multicomponent lipid mixtures in supercritical processes.
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.
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 | 0.001 | 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 | 0.001 |
| 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