Studies on Pre-cooling of Mango for Extension of Shelf-Life
Bibliographic record
Abstract
A study was undertaken to observe the effect of pre-cooling on extending the shelf life of mango fruit (cv Neelam). Fully matured, good quality mango fruits were subjected to chilled water dipping, hydro-cooling and forced air cooling at 5 and 8 ° C, and compared with control treatments. Pre-cooled samples were shifted to three storage environments viz. ambient temperature (30 ± 3 °C), evaporative cooled storage (26 ± 3 °C) and cold store (13 °C at 85 to 90% RH). Results showed that chilled water dipping was the best method with minimum pre-cooling time (26 min at 5 °C). The minimum physiological loss in weight (PLW) (9.98%), TSS (17.90 °Brix), spoilage (10.47%) and maximum firmness (1.4 N) and titrable acidity (0.34%) were obtained for samples pre-cooled by chilled water dipping stored at cold storage. Maximum shelf life of 36 days was obtained for chilled water dipping at 5°C, followed by control (no pre-cooling) samples, 26 days at cold storage and only 10 days at ambient storage condition.
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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 | 0.000 | 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) | 0.000 | 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".