Synthesis,\nCrystallization, and Melting Behavior of\nMetathesis-like Triacylglycerol Oligomers: Effects of Saturation,\nIsomerism, and Size
Bibliographic record
Abstract
Oligomers\nof triacylglycerols (TAGs) are derived from the self-metathesis\nof vegetable oils and are sought for a variety of applications, in\nparticular waxes. A series of model dimers and quatrimers of TAGs\nwith controlled structures were synthesized and characterized by <sup>1</sup>H NMR and <sup>13</sup>C NMR. Their thermal stability, crystallization,\nand melting behavior were investigated using TGA and DSC. The relationship\nof oligomeric structure to thermal properties was found to adhere\nwell to predictive trends. Although the effect of saturation on the\nphase behavior was the most dramatic, with differences in crystallization\ntemperature up to 62 °C, isomerism and molecular mass were shown\nto affect crystallization significantly, leading to differences of\nup to 30 °C. The findings of the study show that the thermal\nparameters of the oligomers can be adjusted in a very broad range\nby saturation, isomerism, and size, making the development of a large\nvariety of biosourced functional lubricants and waxes possible.
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How this classification was reachedexpand
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 | 0.000 | 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 | 0.000 | 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) | 0.004 | 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 teacher head, 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".