Cold Plasma Treatment Accelerated the Oxidation and Structural Changes of Myofibrillar in Tilapia
Bibliographic record
Abstract
To investigate the effects of cold plasma treatment on the oxidation and structure changes of myofibrillar proteins tilapia, the fish was treated by cold plasma with different time (0, 1, 2, 3, 4, 5 min) and different voltage (40, 50, 60, 70, 80 kV), respectively, the carbonyl content, sulfhydryl content, hydrophobicity, Zeta potential, SDS-PAGE, UV spectra, fluorescence spectra and Raman spectrometer of myofibrillar protein were measured after treatment. The results showed that the carbonyl content and surface hydrophobicity of myofibrillar protein were increased gradually, as the treatment time extending or voltage increased, while the total sulfhydryl and the active sulfhydryl content were decreased. When the treatment time was extending to 5 min, the total sulfhydryl and the active sulfhydryl content were decreased to 66.91 and 52.76 μmol/g, respectively. The carbonyl content increased from 1.23 to 2.16 nmol/mg, if the treatment voltage was increased to 80 kV. Cold plasma treatment decreased the absolute value of Zeta potential of myofibrillar protein. The myosin heavy chain band of myofibrillar protein was increased based on SDS-PAGE results. As treatment time extending and voltage increasing, the UV spectrum of myofibrillar protein was blue-shifted with an increased UV absorption intensity, and the fluorescence absorption intensity of protein was weakened. Based on the Raman spectrometer determination, the content of α-helix was increased, the contents of β-sheet and β-turn were reduced, and the random coils had no obvious changes in myofibrillar protein of tilapia after cold plasma treatment. In conclusion, extending the treatment time or increasing treatment voltage of cold plasma can accelerate the oxidation of myofibrillar protein to result in the changes of their second-order structure and conformation.
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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".