Effects of Hot Water, Submergence Time and Storage Duration on Quality of Dragon Fruit (Hylocereus polyrhizus)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study was conducted to determine the effects of hot water temperature, time of submergence and storageduration on dragon fruit (Hylocereus polyrhizus). Fresh harvested dragon fruits were treated with hot watertemperatures at 35, 45 and 60 ?C and time of submergence for 15, 30 and 60 minutes for 0, 5, 10 and 15 days ofstorage. The result showed that the hot water temperature significantly affected (p<0.05) the percentage ofweight loss, titratable acidity (TA) and firmness of dragon fruit. The highest percentage of weight loss (12.80 %)was the fruit treated with hot water at 60°C and submergence for 60 minutes whereas the lowest percentage ofweight loss (5.05 %) was the fruit treated with hot water at 35 °C for 60 minutes. Dragon fruit treated with hotwater at 35 °C has high percentage of TA, 2.44 %. Fruit which was submergence in hot water at 35 °C showedthe highest fruit firmness. The result also showed that the interaction between the three factors significantlyaffected (p<0.05) the percentage of weight loss, TA and pH of the fruits. TA decreased and pH increased for thefruit treated with hot water at 35 °C and submergence for 60 minutes. The interaction between hot watertemperature at 35 °C and time of submergence for 60 minutes effectively reduced the weight loss and acidity ofthe dragon fruit (p<0.05). The shelf life and quality of dragon fruits can be extended using proper submergencetime of hot water treatment.
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.
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 it