Production and characterisation of protein isolates from Chilean granado beans ( <i>Phaseolus vulgaris L.</i> )
Bibliographic record
Abstract
Abstract Granado beans, widely cultivated in Chile, offer plant-based proteins with functional benefits for healthier food formulations. These legumes have a 28% protein content (dry basis) with peptides called lectins that have the potential of reducing type-II diabetes. Our lab has developed a membrane-based method to produce protein isolates from oilseeds. This method was adapted for granado beans. The process involves alkaline extraction at pH 10, followed by ultrafiltration, diafiltration, acid precipitation at pH 4 and freeze-drying. The resulting precipitated protein isolate contains 81% protein, comparable to other legumes. However, the acid-soluble protein isolate (SPI) has a protein content of only 53% due to co-recovery of high molecular weight carbohydrates. The total phenolic compound contents of the protein products were low resulting in both products having an attractive light colour with no astringent taste. The characterisation of the SPI by High-Performance Liquid Chromatography found that it contained about 40% starch and other carbohydrates. To increase the protein content of SPI to ~90%, further purification steps to remove the carbohydrates are necessary.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".