Identification of new flavan‐3‐ol monoglycosides by UHPLC‐ESI‐Q‐TOF in grapes and wine
Bibliographic record
Abstract
Flavan-3-ol monoglycosides, having four aglycons (+)-catechin, (-)-epicatechin, (-)-epigallocatechin and epicatechin gallate monomeric units, are detected for the first time in Vitis vinifera L. cv. Merlot grape seeds and wine. These compounds were analyzed in red wine, seed and skin extracts by electrospray ionization quadrupole time of flight mass spectrometry (MS) in negative mode. Fragment ions derived from retro-Diels Alder, heterocyclic ring fragmentation, benzofuran forming fragmentation and glycoside fragmentations were detected in targeted MS/MS mode. These compounds were not detected in skins; the comparative study showed evidence that these glycosylated compounds originate only from grape seeds. Our method allows for the identification of these glycosylated compounds based on their exact mass and their specific fragmentation pattern. However, exact glucose position on the monomeric units can not be determined. This work allowed us to partially identify 14 new flavan-3-ol monoglycosides, based on the exact mass of the molecular ions and their specific retro-Diels Alder, heterocyclic ring fragmentation, benzofuran forming fragmentation and glycoside fragmentations.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".