Effects of Soaking on the Functional Properties of Yellow‐Eyed Bean Flour and the Acceptability of Chocolate Brownies
Bibliographic record
Abstract
Dried beans are an excellent source of protein, soluble fiber, and resistant starch. In spite of their beneficial properties, the presence of off-flavors limits their use as alternate flour sources in food applications. Soaking and then masking with flavor compounds are effective methods to remove off-flavors in pulses; however, these strategies are not often combined in a single-food application. The objective of this study was to determine the effect of these combined strategies on the acceptability of brownies made with bean flour and whether soaking affected the functional properties of the flour samples. Yellow-eyed (YE) beans were soaked for 24 hr, dried in an oven (treated), and then ground to form flour using a kitchen mill. The check-all-that-apply scores revealed that brownies made with 100% YE flour had nutty and beany flavors. However, consumer liking of brownies made with 50:50 and 25:75 all-purpose (AP):YE-treated flour blends, respectively, were not significantly different from the control brownies made with AP flour. Starch content varied significantly among the treated (42.9 ± 3.2%, P < 0.05) and untreated YE bean flour samples (35.3 ± 1.9%). The treated YE flour showed the highest water absorption index, 3.69 ± 0.12. Overall, combining soaking and the use of chocolate were successful strategies to reduce off-flavors in cake-style brownies, which suggest that up to 50% treated YE flours may be used as a suitable partial replacer of AP flour in chocolate brownies. PRACTICAL APPLICATION: Soaking yellow-eyed (YE) beans prior to milling, combined with the use of chocolate were successful strategies to mask off-flavors in cake-style brownies. The significance of the findings of this study lies in the fact that treated YE flours may be used as a suitable partial replacer of AP flour in chocolate brownies. The use of these strategies has the potential to increase the consumption of pulse flours in Canada.
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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 | 0.002 | 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 | 0.001 |
| 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".