Effect of germination on purple wheat functionality and starch hydrolysis in bread
Bibliographic record
Abstract
Abstract Germination is increasingly used to improve the nutritional and functional properties of wheat. However, pigmented wheats may respond differently due to their high phenolic content and distinct kernel structure. This study evaluated the effects of germination (0, 6, 12, and 24 hr) on purple wheat flour functionality and on bread texture, colour, and in vitro starch digestibility. Germination increased α-amylase activity and reduced the Falling Number, leading to a lower Rapid Visco Analyser peak and final viscosity, and a progressive weakening of dough aggregation properties. Bread produced from 24 hr of germinated flour exhibited greater gas cell coalescence and a lighter crumb colour due to the loss of water-soluble anthocyanins. Total phenolic content showed a strong positive correlation with the resistant starch (r = 0.861, p = .006) and a negative correlation with the starch hydrolysis rate (r = −0.918, p = .001). Additionally, the total anthocyanin content was negatively correlated with rapidly digestible starch (r = −0.817, p = .013). These findings demonstrate that phenolic compounds, particularly anthocyanins, modulate starch digestibility and that purple wheat exhibits a distinct germination response compared with common wheat.
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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 | 0.000 | 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".