Pea Protein–Curcumin Interactions and Their Effects on In Vitro Protein Digestibility
Bibliographic record
Abstract
This study examined the effect of the interaction between pea protein isolate (PPI) and curcumin on in vitro protein digestibility. PPI (0.125 mg/mL) was mixed with different amounts (2–100 μM) of curcumin. UV–vis spectral analysis showed that PPI formed complexes with curcumin, which reduced the transmittance and surface hydrophobicity and increased the average particle size. Fluorescence and transmission electron microscopy imaging revealed the formation of amorphous aggregates after complexation. Nonreducing sodium dodecyl–sulfate polyacrylamide gel electrophoresis showed that curcumin interaction did not affect the pea protein profile. However, curcumin reduced the in vitro protein digestibility-corrected amino acid score of PPI by up to 30.5%. The findings offer valuable insights into the food-matrix interactions that affect protein quality in formulated food products and protein-based nutraceutical delivery systems.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".