Germinated/fermented legume flours as functional ingredients in wheat‐based bread: A review
Bibliographic record
Abstract
Refined wheat breads are consumed throughout the world as an energy-dense staple food. The consumption of refined wheat bread has raised concerns among health-conscious consumers. This has partly stimulated research interest in the inclusion of functional ingredients such as germinated/fermented legume flour in the development of nutritious and healthy breads to drive innovations in the bakery industry and overcome sustainability problems. Nevertheless, the inclusion of germinated/fermented legume flours cannot be a direct replacement of refined wheat, because processing requirements must be met. This critical review analyzes the impact of germinated/fermented legume flour on the rheological characteristics, nutritional quality, health-promoting, and technological properties of wheat-based bread for improved nutrition and health, identifying current challenges. The macroconstituent changes and the increasing enzyme activity produced during germination/fermentation influence the functionality of wheat dough and the resultant bread quality. Substitution of up to 20% germinated legume flour caused detrimental effects on technological properties of the bread, whereas better technological properties were recorded with up to 20% fermented legume flour. Nevertheless, more studies are needed to provide detailed insight on this observation. Germinated/fermented legume flour could serve as a functional ingredient for the development of nutritious and healthy breads. In fact, breads containing germinated/legume flour are rich in quality protein, dietary fiber, micronutrients, phytochemicals, and bioactive constituents and low in glycemic index with improved sensory properties compared to 100% wheat bread. Nonetheless, information on the bioavailability of nutrients in breads containing germinated/fermented legumes using in vivo studies and profiling the metabolites therein are scarce in the literature.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".