Preparation of Sweet Potato Chips by Combined Method in Different Thicknesses
Bibliographic record
Abstract
The objective of this research was to prepare sweet potato chips (Ipomoea batatas L.) in three different thicknesses (0.75, 1.25 and 1.75 mm) using a combined oven drying and frying process at three different temperatures (60, 70 and 80 °C) and to evaluate its centesimal composition, water content and texture (rupture resistance). The water and ash contents increased as the thickness increased and the opposite effect was observed for the lipids that reduced with increasing thickness. For the absorption of fat and calories, the chips presented varied values that can be attributed to the fact that the chips did not undergo the process of exhaustion after the frying. The highest values of rupture resistance (RR) were observed for the chips of 1.75 mm and the absorption of fat and water content interfered directly in this resistance. The sweet potato chips with lower caloric value were those that had drying at 60 °C in the thicknesses of 0.75 and 1.75 mm, however the best sample were chips with 0.75 mm thickness by the drying treatment at 60 °C combined with frying, taking into account the values of water content, calories and fracture.
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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) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".