Study on the Desalination and Ultrafiltration Treatment of Angiotensin Converting Enzyme(ACE) Inhibitory Peptides Derived from Ovalbumin and Their Physicochemical Properties
Bibliographic record
Abstract
The preparation of angiotensin converting enzyme(ACE) inhibitory peptides from ovalbumin, the main protein in egg whites, can provide a reference for their value-added application. The desalination of crude enzymatic hydrolysates from ovalbumin in this paper was performed by ion exchange chromatography, using the following desalting conditions: room temperature(25 ℃), sample load of 20 m L, and flow rate of 8 BV/h. Under these conditions, the desalination rate of hydrolysates, nitrogen recovery rate, and ACE inhibition rate were 83.6%, 87.71%, and 80.31%, respectively. Two ultrafiltration membranes with molecular weight cut-offs of 10 ku and 3 ku were employed to separate the desalinated hydrolysates into three fractions: 10 ku, 3~10 ku, and 3 ku. The optimal operating conditions were as follows: ultrafiltration time of 40 min, operating pressure of 1.5 bar, and temperature of 35 for 10 ℃ ku or 30 ℃ for 3 ku. All three fractions showed ACE inhibitory activity, and the highest activity was found in the 3 ku fraction. Compared to crude hydrolysates, the total and surface hydrosulfuryl contents of the 3 ku fraction were significantly decreased(p 0.05), the surface hydrophobicity was increased(p 0.05), and thermal stability was improved. Therefore, desalination and ultrafiltration treatments can effectively reduce the salt content of crude enzymatic hydrolysates of ovalbumin and produce a fraction with high ACE inhibitory activity.
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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 | 0.000 | 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) | 0.000 | 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".