Optimal Modified Atmosphere for Packaging and its Effects on Quality and Shelf-life of Pacific White Shrimp (<i>Litopenaeus vannamei</i>) under Controlled Freezing-point Storage at −0.8°C
Why this work is in the frame
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Bibliographic record
Abstract
The optimal initial gas composition (CO2, O2 and N2) and its effects on quality and shelf-life of Pacific white shrimp (Litopenaeus vannamei) under controlled freezing-point storage at −0.8°C was determined through microbial flora, pH, total volatile basic nitrogen (TVB-N), exudates and sensory analyses. Pacific white shrimp under gas to product ratio of 3:1 and gas composition spanning the whole area from 0 to 100% based on a simplex centroid mixture design were analyzed after 2, 4 and 6 days of storage. Mesophilic and psychrotrophic bacteria counts, pH and TVB-N contents decreased and formation of exudates increased with increasing of CO2 levels, but odor and appearance scores decreased and mesophilic and psychrotrophic bacteria counts, pH and TVB-N contents increased in the shrimp with decreasing CO2 and increasing N2 concentration. Besides, low O2 levels could favor the odor of raw shrimp. Finally, The optimum gas composition for modified atmosphere packaged Pacific white shrimp under controlled freezing-point storage at −0.8°C was determined to be 75%CO2, 10%O2 and 15%N2, and it could give the most suitable formation of exudates and lowest TVB-N and inhibit the growth of microbial flora; and at the same time maintain high odor and appearance scores in packaged Pacific white shrimp, and the shelf-life was extended to 11 – 12 days, which would be obviously beneficial for the exploitation of quality control, shelf-life extension and development of active packaging on shrimps.
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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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 it