Analysis of Corn Distillers Dried Grains With Solubles (DDGS) / Flour Mixtures, and Subsequent Bread Baking Trials
Bibliographic record
Abstract
Grains offer a variety of nutrients; it is thought that through the addition of distillers dried grains with solubles (DDGS) the fiber and protein in baked products may be improved. In this study, all-purpose flour and bread flour were tested with various DDGS substitution levels (0%, 25%, or 50% flour substitution) with the dough conditioner sodium stearoyl lactylate (SSL) (0%, 0.15%, or 0.3% flour weight basis). SSL is surfactant produced from reacting stearic acid with food grade lactic acid in the presence of sodium. Overall, as the substitution level of DDGS increased, so did protein, moisture, ash, and Hunter-a values. Peak height, side height, width, and length of baked loaves decreased as DDGS quantity increased, however. Baked bread containing SSL had enhanced quality, with increasing dough strength, rate of hydration, mixing tolerance, crumb strength, loaf volume, and shelf life. Overall, 25-50% DDGS substitution appeared to have a negative effect on physical features despite the fact that the nutrient content was enhanced. Less than 25% DDGS had minimal negative effects on bread properties.
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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 | 0.001 |
| 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".