Kinetics of Quality Attributes of Potato Particulates during Cooking Process
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Bibliographic record
Abstract
Abstract Kinetics of thermal texture softening, color change and loss of ascorbic acid in potato ( Solanum tuberosum ) were investigated at selected temperature range (70–100°C) and heating time range (0–50 min). Cut samples of potatoes were heated in a constant temperature water bath at various temperatures. Heat-treated samples were evaluated for texture, color and ascorbic acid by use of a texture-testing machine, a color meter and spectrophotometer, respectively. The biphasic first-order model, the fractional conversion model and the simple first-order model were used for fitting experimental data of time dependence kinetics, while the simple first-order model and Arrhenius model were used for temperature dependence kinetics. The results indicated that the biphasic first-order model can match well to the texture softening of potato samples, the fractional conversion model can well describe the kinetics of color, and the simple first-order model can be used for the kinetics of ascorbic acid. The kinetic parameters including decimal deduction time ( D ), reaction rate ( k ), temperature dependence ( z ) and activation energy ( E a ) were determined by the nonlinear regression method. The correlation matrix between quality attributes including texture properties, color and ascorbic acid loss was developed based on the kinetic models. The results obtained from this study were compared with those previously reported.
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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 | 0.000 | 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) | 0.000 | 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