Conjugation of Ovotransferrin with Catechin Shows Improved Antioxidant Activity
Bibliographic record
Abstract
Ovotransferrin (OTF), representing 12-13% of the total egg white, is a member of transferrin family with antimicrobial and antioxidant activities. Catechin is a polyphenolic antioxidant found in green tea. The objective of the study was to conjugate ovotransferrin with catechin to improve the antioxidant activity of OTF. Conjugates were prepared either by the free radical method using hydrogen peroxide-ascorbic acid as the initiator or by the alkaline method at pH of 9.0. The oxygen-radical-scavenging effect was increased from 3.95 mol trolox equivalent (TE)/mol of ovotransferrin to 22.80 and 17.14 mol TE/mol sample, respectively, in radical and alkaline prepared conjugates, which indicated that conjugation with catechin is an effective way to improve antioxidant activity of the protein. Conjugation between ovotransferrin and catechin was analyzed by fluorescence analyses, ultra performance liquid chromatography, matrix-assisted laser desorption ionization time-of-flight mass spectrometry and liquid chromatography coupled online to a tandem mass spectrometer. Catechin was covalently bound to lysine (residues 327) and glutamic acid (residues 186) in ovotransferrin. The ovotransferrin-catechin conjugate may have a potential application as a functional food and nutraceutical ingredient.
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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) | 0.000 | 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 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".