RELATION BETWEEN SENSORY ASTRINGENCY OF EXTRACTS FROM SELECTED TANNIN‐RICH FOODS AND THEIR ANTIOXIDANT ACTIVITY
Why this work is in the frame
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Bibliographic record
Abstract
ABSTRACT Extracts obtained from hazelnuts, walnuts, almonds, vetch seeds, buckwheat and buckwheat grits were examined for their sensory astringency and antioxidant properties. The sensory astringency was evaluated using the sensory scaling method and was expressed as sensation of astringency index (SAI). The antioxidant activity of extracts was analyzed using (1) total antioxidant activity (TAA), (2) the ability to scavenge the 2,2‐diphenyl‐1‐picrylhydrazyl radical, (3) bleaching of β‐carotene and (4) reducing power. Human salivary protein (HSP) precipitation capacity of the extracts was assayed by spectrophotometric techniques. Statistically significant correlations ( P ≤ 0.05) existed between SAI values and TAA, SAI value and reducing power, and SAI values and HSP precipitation. The presence of condensed tannins in the extracts was confirmed by UV spectral and high‐performance liquid chromatography data. PRACTICAL APPLICATIONS The sensory astringency of the tannin‐rich extracts is correlated with their antioxidant activity. This information and the regression equations reported in this study could help to prepare functional foods characterized by the high antioxidant properties that could meet consumer's acceptance. However, studies should continue to explain whether the masking of astringency of plant extract with hydrocolloids may render any undesirable effect on their antioxidant properties.
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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) | 0.001 | 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 it