Comparative evaluation of the functionality of faba bean protein isolates with major legume proteins in the market
Bibliographic record
Abstract
Abstract Background and Objectives The production of faba beans ( Vicia Faba L.) is emerging in the Canadian prairies. To investigate their utilization potential as value‐added ingredients, the physicochemical and functional properties of protein isolates prepared from three faba bean cultivars (Fabelle, Malik, and Snowbird) currently grown in Canada were compared with those of yellow pea (CDC Amarillo) and soybean (AAC 26‐15). Findings Higher than pea (23.1%), the faba bean had protein contents of ~31.4% and a small amount of fat (~1.2%). The protein isolates of faba bean (FPI), pea (PPI), and soy (SPI) were broadly comparable in surface tension, protein solubility, and oil holding capacity; however, surface charge was higher for FPI. The interfacial tension, water holding capacity, foaming, and emulsifying properties were also generally similar between FPI and PPI but different from SPI. Among faba bean cultivars, Snowbird was richer in protein with a higher proportion of legumins and was better at stabilizing emulsions while having a lower emulsifying activity. Conclusions The functionalities of FPI broadly resembled those of PPI, while being comparable or higher to those of SPI, suggesting the potential of using FPI as an alternative functional ingredient in product formulations. Significance and Novelty The study on the representative cultivars of Canadian‐grown faba beans updated the knowledge base concerning the functional differences among cultivars and how they compete with major legume proteins in the market, while providing insights on possible applications of faba bean protein ingredients.
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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 | 0.001 | 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) | 0.001 | 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 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".