The Application of Glass Transition Temperature in the Frying of Starchy Foods: A Review
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
Investigating the glass transition temperature (Tg) of fried foods helps comprehend their physiochemical, and thermal characteristics, which are crucial in controlling their quality, stability, and safety during processing and storage. During the phase transition, substantial alterations happen in the physical properties of fried foods, such as molecular mobility, viscosity, and elasticity, due to variations in moisture and temperature, leading to the development of the structure. This study aimed to review the importance and concept of glass transition temperature (Tg), and changes in the physical properties of starchy products controlled by this phenomenon. The influence of water sorption, pre- and post-frying treatments, frying time, and food composition on Tg during frying was also reviewed. Moreover, the effect of Tg on textural characteristics of fried foods, including crispness, crust formation, and collapse, as well as measurement techniques of Tg, were covered.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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