Quality Optimization of Canned Potatoes during Rotary Autoclaving
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
Abstract The study was conducted to evaluate the optimal processing conditions for maximizing quality retention in canned potatoes during agitation thermal processing. A range of process parameters employed in this study were: retort temperature 115–125 C ; rotation speed 20 rpm ; can headspace 10 mm ; and still and agitating modes (end‐over‐end, fixed and free axial). Potatoes were prepared as 1.6 × 1.6 × 1.6‐ cm cubes, filled in 307 × 409 cans, covered with 1% aqueous solution of carboxy‐methyl cellulose and the processing times were adjusted to provide an equivalent lethality ( F o value) of 10 min. During the study, selected color ( L , b , h angle and Δ E ) parameters and textural (hardness, gumminess and chewiness) attributes, as well as the heat penetration parameters ( f h and j ch ) and cooking quality index ( C o /F o ) were evaluated. The study indicated that potato particles processed at higher temperatures and under better agitating conditions demonstrated better quality retention. Practical Applications The food processing industries aim at achieving balance between the conducive and harmful effects of the thermal processing. Hence, for designing a thermal process, time–temperature combinations are chosen to impart required lethal effect to ensure microbiological safety and to simultaneously reduce the extent of thermal damage to color, texture and nutritional attributes. Optimization on the basis of color and texture becomes even more important because acceptance or rejection of most foods rely on the mouth feel and external appearance. Hence, in this study, the color and textural attributes were studied during retorting of potatoes and the optimal conditions for preparing canned potatoes were identified.
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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 | 0.004 | 0.001 |
| 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