Application of the Effect of Nonthermal Technologies on the Oxidation of Proteins and Lipids in Pigeon Meat during Chilled Storage
Bibliographic record
Abstract
This study investigated the effects of low-voltage electrostatic field (LVEF), electron beam irradiation (EBI), and modified atmosphere packaging (MAP) on protein and lipid oxidation of pigeon meat (PM) during chilled storage. The water-holding capacity (WHC) and color reflected that the difference between the LVEF-treated (1.20 kV/m) group and the fresh groups was the smallest. The oxidation analysis of protein showed that the LVEF-treated group had smaller values of carbonyl concentration (0.0551 ± 0.0048 μmol/g), larger values of sulfhydryl concentration (0.737 ± 0.0364 μmol/g), and higher Ca2+-ATPase activity (30.10 ± 1.52 U/g) than the C4 group (0.0649 ± 0.0013 μmol/g, 0.510 ± 0.0225 μmol/g, and 25.18 ± 1.42 U/g, respectively). SDS-PAGE demonstrated the ability of LVEF to inhibit the hydrolysis and cross-linking of proteins. Meanwhile, the LVEF-treated group had lower values of TBARs (2.26 ± 0.0371 μg/kg) than the other groups and had a lower lipid oxidation level. In addition, the fatty acids in the LVEF-treated group were similar to those in the fresh group and were beneficial to human health. In conclusion, LVEF (1.20 kV/m) could inhibit protein and lipid oxidation of PM during chilled storage.
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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".