Effect of Hot Water Treatment on the Chemical, Sensorial Properties and Ripening Quality of Chaunsa Mango (Mangifera indica L.)
Bibliographic record
Abstract
The study was carried out to investigate the effects of hot water treatment on the chemical, sensorial properties and ripening quality of Chaunsa mango during the year 2010-11. Results showed that mangoes treated with hot water of 55oC and stored at room temperature (38+ 4oC) were ripened in 3 days, whereas mangoes treated with hot water treatment of 45oC ripened in 4 days, without hot water treatment were ripened in 5 days. Chemical properties like total acidity, vitamin C content, TSS, total sugars, reducing sugar, non reducing sugar were determined in mangoes treated with hot water at 55oC for 20 minutes and stored at room temperature, followed by hot water treatment of 45oC at 30 minutes. Early ripening of mangoes and best sensorial properties were also observed as peel color, fruit softness, pulp color, taste/flavor, texture and aroma. The study revealed that mangoes treated in hot water were ripened in better quality than control. Furthermore, the sensorial properties of the treated mangoes were scored higher and quality wise better than control.
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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) | 0.000 | 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) | 0.001 | 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".