Comparative study of hexanal dip and electrospun nanofiber mediated vapour treatments on enhancing the shelf life of pears
Bibliographic record
Abstract
Hexanal slows down the ripening process in fresh produce by inhibiting the activity of phospholipase D, thereby increasing shelf life. This study focused on comparing the single time exposure and continuous exposure of post-harvest Anjou and Bartlett pears to hexanal by dipping or fumigating them to enhance their shelf life. Continuous exposure of hexanal was achieved by developing a hexanal encapsulated fiber (HEF), which releases hexanal vapor due to the increased humidity (96 ± 2% RH) in the container headspace as a result of respiration. The fruits were stored in cold storage (0 ± 2 °C) as well as at normal room temperature (20 ± 2 °C) and their storage capacity was compared between the treatments. Fruit parameters such as physiological loss of weight (PLW), firmness, and total soluble solids (TSS) showed only minor differences between hexanal treated and untreated fruits. Between the two varieties, Anjou exhibited slightly higher values than Bartlett. However, when the fruits are visually evaluated, the main aspect of consumer preference, HEF-treated fruits had a better appeal in both varieties and in both conditions. Bartlett responded better than Anjou even in cold storage conditions, suggesting that there are varietal differences in their response to hexanal. Both hexanal treatments helped color retention and reduced fungal infection under the storage conditions tested.
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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 | 0.000 | 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) | 0.000 | 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".