Effect of Skimmed Milk Powder Incorporation on the Physico-chemical and Sensory Characteristics of Restructured Buffalo Meat Blocks
Bibliographic record
Abstract
Abstract Kumar, S. and Sharma, B.D. 2003. Effect of skimmed milk powder incorporation on the physico-chemical and sensory characteristics of restructured buffalo meat blocks. J. Appl. Anim. Res., 23: 217–222. Restructuring of meat from spent animals brings about convenience in product preparation, besides enhancing tenderness and value addition. Milk proteins have been shown to offer added functionality and nutritional properties in some meat products. This study was undertaken to evaluate the incorporation of skimmed milk powder (SMP) at 0, 2, 4 and 6 per cent levels replacing lean meat in prestandardized restructured buffalo meat blocks. There was a progressive improvement in the cooking yield, protein, shrinkage, binding strength and sensory characteristics of the meat blocks with increasing levels of skimmed milk powder incorporation. At 2 per cent SMP incorporation, most of the physico-chemical and sensory characteristics of the product were found to be comparable to control and 4per cent SMP products. However, incorporation of 6 per cent skimmed milk powder in the product brought about a significant (P<0.05) improvement in protein, flavour, binding strength and overall acceptability as compared to control. Shrinkage loss was also significantly reduced. Key words: Buffalo meatrestructured meat blocksskimmed milk powdersensory characteristics
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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 | 0.003 | 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 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".