Subcritical water extraction of hydrolyzed proteins from canola meal: Optimization of recovery and physicochemical properties
Bibliographic record
Abstract
The objective of this study was to valorize hot-pressed, desolventized toasted canola meal by tailoring subcritical water extraction (SCW) conditions to enhance protein recovery while optimizing their physicochemical properties. A 3×3 face-centered central composite design using response surface methodology was applied to understand the interaction between extraction temperature (200-250°C), time (20-30 min), and feed concentration (5-20%) at 4.03 MPa pressure and their effects on protein recovery, degree of hydrolysis (DH), interfacial tension (IFT), and total phenolic content (TPC). The extracts displayed a maximum protein recovery of 68.9 wt% with a maximum DH of 14.1%. The extracted protein significantly reduced the IFT to a minimum of 4.0 mN/m. The extracts showed a high value of TPC (24.6 mg/g) and excellent antioxidative properties. Overall, it demonstrates the potential of SCW to transform low-value canola meals into high-value protein hydrolysates with enhanced surface activity and antioxidative properties for food and industrial applications.
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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) | 0.000 | 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".