Effect of dry and steam heating on the functional and bread baking properties of yellow pea and navy bean flours
Bibliographic record
Abstract
Abstract Background and objectives Although there is growing interest in partially replacing wheat flour with pulse flours in bread, the flavor of pulse flours can limit their use. Heat treating pulse flours, with and without the addition of steam, was examined to determine whether the flavor of split yellow pea flour (SYPF) and whole navy bean flour (WNBF) could be improved without altering flour functionality and bread baking properties. Findings Significant temperature × steam interactions were found for most flour parameters including pasting properties, water absorption capacity (WAC), starch damage, and color. Protein, starch, and flour particle size were altered as were pasting and farinograph properties of the pulse/wheat flour blends. Differences in specific volume, color, and C‐cell properties were more evident in the breads made with the treated WNBFs likely due to the different bread formulation used and the presence of hull in the flour. Conclusions Processing the SYPF and the WNBF at 120 and 140°C with steam improved the aroma and flavor of the bread while maintaining good flour functionality and bread baking properties. Significance and novelty Heating treating pulse flours with the addition of steam successfully reduced the objectionable aroma and flavor characteristics associated with SYPF and WNBF. Eliminating undesirable aroma and flavor properties provides a greater opportunity for the inclusion of pulse flours in foods to enhance their nutritional properties.
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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".