Evaluation of the stability of tyrosol esters during<i>in vitro</i>gastrointestinal digestion
Bibliographic record
Abstract
Lipophenols such as tea polyphenol palmitate derivatives (palmitoyl esters of tea polyphenols) have been classified as non-toxic food additives due to their better protective effects on lipidic food matrices from oxidation, but their digestion and absorption have remained unexplored. In this study, the digestive stability of tyrosol acyl esters (TYr-Es) with fatty acids of different chain lengths and different degrees of unsaturation such as C12:0, C14:0, C16:0, C18:0, C18:1, C18:2, and C22:6 was evaluated using an in vitro simulated gastrointestinal tract model containing various digestive enzymes (pancreatin, pancreatic lipase and phospholipase A2). HPLC-UV measurements demonstrated that only pancreatin and pancreatic lipase, but not phospholipase A2, could hydrolyze TYr-Es to free TYr. The degree of TYr-E hydrolysis negatively correlated with the chain length but positively correlated with the degree of unsaturation of their lipid moiety. In addition, the fact that TYr in fatty acid ester forms could be absorbed by the intestinal lumen, at least partially in the form of free TYr, may explain a sustained release behavior of TYr-Es to TYr during the time-course following the digestion process.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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) | 0.001 | 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".