Quality Changes in Different Cultivars of Sweet Potato During Deep-Fat Frying
Bibliographic record
Abstract
The goal of this study was to evaluate quality changes during deep fat frying of five cultivars of sweet potato (Ipomoea batatas L.) namely, 'Ginseng Red', 'Beauregard', 'White Travis', 'Georgia Jet clone #2010' and 'Georgia Jet'. The cultivars were grown in Sainte-Anne-de-Bellevue, QC, Canada, harvested at maturity, and brought to the laboratory for analysis. Samples were peeled, sliced into cylindrical shape and deep fried in canola oil at the temperature of 180C for different times up to 5 min. Oil uptake, moisture loss, colour and texture parameters were measured. Oil uptake and moisture loss during frying followed the traditional 1st order kinetics profile for all the cultivars. A significant (P< 0.05) variation was observed in the rate of quality changes such as moisture loss and oil uptake in different cultivars after frying. 'Ginseng Red' was identified as a suitable cultivar for French fries production because of its lowest oil saturation, good colour and textural properties development during frying.
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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 | 0.001 | 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 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".