Effect of Heat-Induced Changes of Connective Tissue and Collagen on Meat Texture Properties of Beef<i>Semitendinosus</i>Muscle
Bibliographic record
Abstract
The effects of heat-induced changes of intramuscular connective tissue (IMCT) and collagen on meat texture properties of beef Semitendinosus (ST) muscle were investigated in this study. ST muscle was heated to core temperature from 40 to 90°C with an increment of 5°C in a water bath and microwave oven, respectively. Characteristics changes of IMCT collagen and meat texture were estimated. The results indicated that: cooking loss, total collagen and soluble collagen content increased with the increase in heating temperature and time. Collagen solubility of thermally treated meat was relatively high at 65°C irrespective of heat treatment mode. The granulation changes of connective tissue collagen occurred at 60°C and increased during heating to higher core temperatures. The instrumental texture profile analysis (TPA) data of heated meat showed also significant differences between two heating modes and studied temperatures. Results indicated that heating internal core temperature of 60°C and 65°C were critical for affecting meat texture properties owing to the thermal effects of collagen in water bath and microwave heating, respectively.
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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) | 0.000 | 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) | 0.001 | 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 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".