Structural and functional properties of isolated yellow field pea protein treated with different modification methods
Bibliographic record
Abstract
ABSTRACT Modification of plant proteins is crucial for expanding their use in the food and pharmaceutical industries. Yellow field pea protein was isolated through alkaline solubilization and isoelectric pH precipitation. This isolated pea protein (ALK) was modified using different modification methods (MM), including ultrasound (20 kHz, 2 min), pH-shift (pH 12), heat (90°C, 20 min), and their combinations followed by determination of some functional properties. FTIR analysis revealed that MM induced conformational changes in the protein's secondary and tertiary structures, particularly in the amide I and II regions. Combined treatment methods significantly increased surface hydrophobicity (p<0.05) while reducing total and free sulfhydryl content (p<0.05). Techno-functional properties, such as emulsification, foaming, solubility, and oil-holding capacity, were notably enhanced in the treated ALK. These findings demonstrate the potential of different MM as an eco-friendly approach for improving the functionality of plant proteins, enabling their broader application in diverse industries while supporting environmentally sustainable practices.
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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) | 0.000 | 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 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".