Ultrasound-assisted covalent reaction of myofibrillar protein: The improvement of functional properties and its potential mechanism
Bibliographic record
Abstract
The effects of the different combined manner of ultrasound and covalent reaction between polyphenol and myofibrillar protein (MP) from chicken were studied. More so, antioxidant activities, digestive properties, and potential mechanism of ultrasound-assisted oxidation system of hydrophilic ((-)-Epicatechin gallate, ECG) and hydrophobic (Baicalein, BN) polyphenols was also analyzed in this study. Among all the combined treatments, surface hydrophobicity (SUH), active sulfhydryl contents (ASC), and specific surface area (SSA) of ultrasonic assisted ECG oxidation group (T6) was relatively apparent, indicating that a more unfolding MP structure was obtained. Furthermore, ultrasonic assisted ECG oxidation group showed the highest antioxidant activities compared with other combined treatments on the basis of the results of DPPH free radical scavenging activities, metal ion chelating activities, and hydroxyl radicals (OH·) scavenging activities. The results of simulated digestion system and kinetic analysis also verified that ultrasonic assisted ECG oxidation had higher MP bio-accessibility than the control group. In contrast, a lower digestibility was displayed in ultrasonic assisted BN oxidation group. In summary, the ultrasound-assisted covalent reaction of MP and ECG might be a desirable approach for industrial production of MP from chicken with better antioxidant activities and digestive properties.
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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".