PSVII-21 Impact of low voltage electrical stimulation applied to longissimus thoracis et lumborum and semitendinosus on meat quality and palatability
Bibliographic record
Abstract
Abstract Low voltage electrical stimulation (LVES, 20-120V) is safer and more cost-effective than high voltage electrical stimulation (HVES). Despite some studies showing positive effects of LVES on meat quality, no studies have evaluated the effects of LVES on meat flavor profile. The objective of this study was to examine the effects of LVES applied directly to the longissimus thoracis et lumborum (LTL) and semitendinosus (ST) muscles on meat quality and flavor profile. Steers [n = 32; 689.2 ± 29.66 kg body weight (BW)] were used. After carcass splitting and randomizing by carcass side, the LTL and ST of one carcass side were stimulated individually with 45 VRMS at 49.83 ± 2.32 min post-mortem using a commercial stimulator. The other carcass side remained unstimulated. The LTL and ST pH were measured at 45 min, 3 h, 3 d and 6 d. At 3 d post-mortem, LT objective color (Minolta L*, a*, b*, hue, chroma) was measured and one steak from LT and ST were collected for cooking losses and shear force analyses. The remaining muscle was weighed, vacuum-packaged, aged until 6 d post-mortem and, subsequently, unpackaged and re-weighed to calculate purge losses. One steak from each muscle was placed in a retail display and objective color at 0 and 4 d (6 and 10 d post-mortem) and drip losses were assessed. Cooking losses and shear force of 6- and 12-d aged steaks from each muscle were measured. Trained panelists evaluated sensory attributes of frozen-thawed 6-d aged longissimus lumborum (LL) and ST steaks. There were stimulation × ageing time interactions for pH in both muscles, as LVES reduced the pH at 3 h but did not affect pH at 3 and 6 d post-mortem (P < 0.001 Figure 1). The LVES did not significantly affect the LT color values at 3 d post-mortem (P > 0.05) or in retail display (P > 0.1, Table 1). In the ST, however, there were stimulation × ageing time interactions for a*, b* and chroma measured in retail display, with stimulation increasing all these values at 0 d, whereas there was no effect on a* and chroma and a lesser increase in b* after 4 d (P < 0.001, Table 1). Regardless of ageing time, LVES increased ST L* (P < 0.05) and hue (P < 0.001) in retail display (Table 1). The LVES did not affect LT and ST drip losses (P > 0.1, Table 1), shear force, descriptive sensory attributes and LT purge losses (P > 0.1), but increased ST purge losses (P < 0.05). The LVES increased burnt aroma (P < 0.05) and umami (P < 0.01) and salty (P = 0.075) tastes and decreased bitter taste (P < 0.01) and green-hay flavor (P < 0.05) in the LL, but did not affect ST flavor (P > 0.1; Table 2). Overall, LVES had muscle-specific effects with improvements in ST retail color and LL flavor profile.
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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) | 0.003 | 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".