Optimizing wet isolation conditions and characterizing functionality of protein isolates from air-classified starch-rich pulse flours
Bibliographic record
Abstract
Starch-rich pulse flours are an underutilized, low-value by-product from air classification of pulses. They contain 8 %–20 % proteins with substantial untapped potential. This research aimed to optimize the alkaline extraction/isoelectric precipitation method to produce protein isolates from air-classified starch-rich faba bean and pea flours and to examine their techno-functional characteristics in comparison with commercial pea protein isolate (CPPI). The alkaline extraction was performed over a range of pH (8.5, 9.5, 10.5, and 11.0) and temperatures (25, 30, 40, and 50 °C). Higher pH and temperature increased the yields but reduced the purity of the protein isolates. Fourier transform infrared (FTIR) spectroscopy further revealed that the milder extraction conditions better preserved β-sheet and β-turn structures and led to smaller percentages of unordered α-helices in both faba bean (FPI) and pea protein isolates (PPI). FPI and PPI extracted under yield-optimized condition (designated as FPI-C yield and PPI-C yield ) exhibited greater denaturation, surface charge, and hydrophobicity than the counterparts from purity-optimized condition (designated as FPI-C purity and PPI-C purity ). Consequently, FPI-C yield and PPI-C yield showed reduced water solubility, increased oil-absorption capacity (OAC), and enhanced emulsion stability and foaming capacity as compared to respective FPI-C purity and PPI-C purity samples. This study revealed that the alkaline extraction conditions influenced not only the purity and yield but also the surface and functional properties of generated protein isolates. • Higher pH and temp. increased yields but lowered purity of pulse protein isolates • FTIR revealed mild extraction conditions better preserved β-sheets and β-turns • Pulse protein isolates from mild extraction were less denatured and less hydrophobic • Extraction conditions determined functional properties of pulse protein isolates • Structure-function relationships of pulse protein isolates were discussed
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".