Comparative evaluation of the nutritional value of faba bean flours and protein isolates with major legumes in the market
Bibliographic record
Abstract
Abstract Background and Objectives The plant protein market has been growing at an unprecedented rate. To evaluate the utilization potential of Canadian faba beans, the nutritional value of flours and protein isolates of cultivars Fabelle, Malik, and Snowbird were compared to yellow pea (CDC Amarillo) and soy (AAC 26‐15), the two major players in the legume protein market. Findings Faba bean was largely comparable to pea and soy for total phenolic compounds, condensed tannins, and phytic acid (PA) contents, less concentrated with the raffinose family oligosaccharides, and contained additional vicine and convicine (V‐C) at varying levels. However, it was more limiting in methionine and cysteine and had lower protein quality, particularly in the isolates (in vitro protein digestibility corrected amino acid score, or IV‐PDCAAS < 50%). Among cultivars, Fabelle was the lowest and highest in V‐C and PA, respectively, and Snowbird showed the lowest protein quality. Conclusions Faba bean flours showed higher protein quality values than the isolates, possibly due to the loss of albumins during the extraction process. Future research should focus on the modification of wet fractionation methods to minimize the loss of sulfur‐rich amino acids. Significance and Novelty The findings show a clear picture of how recent faba bean cultivars grown in Canada compared nutritionally to each other and pea and soy, providing insights on ingredient selection and processing.
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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".