Relationships between Canadian beef grade and intramuscular collagen characteristics in bovine m. longissimus lumborum
Bibliographic record
Abstract
Consumers’ decisions to purchase beef are determined by various factors, including meat appearance and anticipated and experienced eating satisfaction. While there are different contributions of each intramuscular component to meat quality, intramuscular connective tissue (IMCT) impacts beef tenderness as “background toughness”. IMCT is primarily composed of the protein collagen, which increases in crosslink complexity as animals age. Youthful animals primarily have immature divalent collagen crosslinks and Ehrlich Chromogen which are temperature labile. However, as animals age, the divalent crosslinks transition into a mature, trivalent crosslink pyridinoline which provides increased stability to the collagen structure throughout muscle. This results in declining collagen heat solubility as well as increased Slice Shear Force (SSF) of cooked meat. For consumers, this is undesirable for beef, as it requires extended cooking periods to allow the collagen to degrade and gelatinize. Current research has reported the impacts of pyridinoline and Ehrlich Chromogen on beef toughness; however, the effects of divalent collagen crosslinks are less understood. The objective of this study was to evaluate the relationship between beef quality grade, toughness as determined by SSF, and collagen characteristics, specifically collagen solubility and collagen divalent and trivalent crosslink quantification. Longissimus lumborum m. steak samples were randomly collected from beef carcasses (Canada AA, n= 101; Canada AAA, n= 500) and aged for 14 d. After, cooked tenderness was measured using SSF and samples were categorized into tender (SSF=0-19.9 kg), intermediate (SSF=20.0-39.9 kg), and tough (SSF>40.0) subcategories. Collagen heat solubility was measured on a frozen uncooked portion from each sample, and categorized as high or low collagen solubility, and related to collagen divalent and trivalent crosslinks quantified utilizing a novel technique. Results showed that muscles from Canada AA carcasses had greater soluble collagen and greater mean slice shear force and less insoluble collagen than muscles from Canada AAA carcasses. However, there were no differences due to collagen solubility or tenderness category. Pyridinoline, lysinonorleucine, hydroxylysinonorleucine, 5, 5’-dihydroxylysinonorleucine, and deoxypyridinoline concentrations were unaffected by and unrelated to, respectively, quality grade and collagen solubility percentage. Ehrlich’s Chromogen had a significant difference for collagen solubility percentage with high solubility having greater concentration compared to low solubility. As the longissimus lumborum muscle used in this study is a tender cut of meat located in the loin area resulting in reduced connective tissue, future research should focus on differing locations of muscle and characterization of divalent crosslinks variation with animal age to identify the relationship between collagen crosslink type and beef toughness.
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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 | 0.000 | 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 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".