Determination of the Dissociation Constants of Eleostearic Acid and its Derivative by HPLC
Bibliographic record
Abstract
The dissociation constants of eleostearic acid,3-nbutyl-6-( 1-decyl olefinic acid base) 4-cyclohexene diacid( C23 diacid methylester) and 3-n-butyl-6-( 1-decyl olefinic acid methyl ester) 4-cyclohexene diacid( C22 tricarboxylic acid) were determined by High Performance Liquid Chromatography( HPLC). Observed retention factors were determined using mobile phases with different percentages of organic modifier in the pH range from 2. 00 to 12. 00. A twostage least squares fitting procedure for fitting a general equation to the observed retention factors was used to calculate the dissociation constants at each percentage of organic modifier.The obtained dissociation constants were extrapolated to give pKa values in 100% aqueous solutions. The obtained pKavalues were of an extrapolated to be calculated by ACD procedure. The eleostearic acid has a pKaof 4. 79 and the C23 diacid methylester has a pKa1of 3. 81,a pKa2of 5. 78. The C22 tricarboxylic acid has a pKa1of 3. 68,a pKa2of 4. 77,a pKa3of 5. 73.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.004 |
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".