High oxygen atmospheric packaging treatment regulates the postharvest changes of Chinese kale ( <b> <i>Brassica oleracea</i> var. <i>alboglabra</i> ) during storage </b>
Bibliographic record
Abstract
Chinese kale is one of the most popular vegetables in southern China and Asia, but it has a short shelf-life. The effect of high oxygen atmospheric packaging (HOAP) treatment on the respiration rate as well as chlorophyll content and the expression of their metabolism-related genes of the soluble proteins in Chinese kale during storage were assessed. The results showed that Chinese kale subjected to HOAP treatment showed stimulated respiration rate and regulated expression of chlorophyll metabolism-related genes, such as BrChlases, BrPPH (pheophytin pheophorbide hydrolase), BrPAO (pheidea oxygenase gene), BrRCCR (red chlorophyll catabolite reductase), and BrSAG12 (senescence-associated gene), compared to the Chinese kale in the control. The activities of chlorophyll enzymes, that is, Chlase and Mg-dechelatase, were also influenced by HOAP treatment during storage. Furthermore, the total content of soluble proteins was stimulated to accumulate, and the intensity of protein bands, detected by sodium dodecyl sulfate-polyacrylamide gel electrophoresis profiling, increased in HOAP-treated samples. Based on the current results, as well as the results of our previous study regarding HOAP treatment of other vegetables, we speculate that HOAP may function by regulating the respiration rate and the accumulation of functional proteins, especially chlorophyll catabolic and antioxidant enzymes, to maintain the freshness of Chinese kale during storage. PRACTICAL APPLICATION: HOAP treatment could be a potential method for delaying quality changes and extending the shelf-life of Chinese kale after harvest.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 teacher head, 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".