Tannin additions decrease the concentration of malodorous volatile sulfur compounds in wine-like model solutions and wine
Bibliographic record
Abstract
Hydrogen sulfide (H 2 S), methanethiol (MeSH) and ethanethiol (EtSH) are volatile sulfur compounds (VSCs) produced during winemaking and are associated with negative ‘reductive’ aromas in wine. Anecdotal evidence suggests that oenological tannins may be used to remediate the ‘reductive’ character of wines, yet little scientific evidence or explanation supporting this observation has been published. In this study, it was found that the addition of oenological tannin significantly decreased H 2 S, MeSH, and EtSH in model wine by 92 %, 90 % and 86 %, respectively. Furthermore, the removal of H 2 S, MeSH, and EtSH from model wine matrices was accelerated at high pH levels. The reaction products of polyphenol oxidation and their ability to ameliorate the presence of MeSH and EtSH were studied in model systems and wines, and vescalagin/castalagin adducts of MeSH and EtSH were subsequently produced. This study provides evidence for the mechanism through which oenological tannins may diminish ‘reductive’ aromas in wine. • Tannin significantly decreased H 2 S and MeSH in model and real wine. • Vescalagin/castalagin, and gallic acid VSC-adducts were produced. • Higher pH promoted the removal of H 2 S, MeSH, and EtSH. • A mechanism is proposed by which oenological tannins decrease ‘reductive’ aromas.
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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 | 0.000 |
| 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 | 0.000 |
| 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 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".