THE USE OF A NATURAL CLAY ADSORBENT IMPROVES QUALITY RETENTION IN THREE CULTIVARS OF RASPBERRIES STORED IN MODIFIED ATMOSPHERE PACKAGES1
Bibliographic record
Abstract
Abstract The effect of a natural clay adsorbent on quality retention in modified atmosphere packaged raspberries (Rubus idaeus L., cvs‘Chilliwack’, ‘Malahat‘, and ‘Qualicum‘) was tested. Fruit packaged with the natural clay adsorbent was much firmer, had less decay, and had fewer dark red overripe fruit after 14 days than those packaged without any adsorbent. The addition of the natural clay adsorbent almost eliminated all the condensation inside the package after 14 days of storage at 1C. The reduction in decay on the fruit could be attributed to the reduction in condensed water in the package. However, effects on firmness retention and the slowing of ripening of the fruit could not be attributed to any measured effect of the clay in this study. The results suggest that a water/ volatiles adsorbent, such as the natural clay used in this study, could be useful in prolonging the shelf‐life and improving the quality of modified atmosphere packaged red raspberries grown in a wet climate.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".