SENSORY AND NUTRITIONAL QUALITY OF THE APPLE SNACKS PREPARED BY VACUUM IMPREGNATION PROCESS
Bibliographic record
Abstract
ABSTRACT The purpose of the present study was to evaluate the sensory and nutritional quality aspects of dried apple slices that had been prepared by giving three different pretreatments (vacuum impregnation [VI] treatment, anti‐browning treatment and untreated control). Descriptive sensory analysis carried out by trained panelists revealed that chip crispiness and crunchiness were improved by the VI in comparison to the other treatments. As compared to untreated apple slices, incorporation of calcium and vitamin E in dipping solution resulted in uptake of calcium (760 mg/100 g) and vitamin E (168 mg/100 g) in the fruit matrix, which can be used to meet the daily requirement for calcium and vitamin E in the consumer's diet. PRACTICAL APPLICATIONS The eco‐friendly processes like vacuum impregnation can be utilized in developing dried apple snacks to improve the sensory attributes and introduce quality‐enhancing food additives, such as calcium salt and natural flavors, as well as minerals, vitamins and bioactives for meeting the daily dietary requirements and promoting health benefits to the consumer.
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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".