The effect of shower time, electrolyte treatment, and electrical stimulation on meat quality of cattle longissimus thoracis muscle in cold weather

Ozone-Microbubble-Washing with Domestic Equipment: Effects on the Microstructure, and Lipid and Protein Oxidation of Muscle Foods

“…However, significantly higher ( p < 0.05) levels of Glycine (Gly), Alanine (Ala), and Proline (Pro) in the OM group were detected, which may originate from the higher proteolysis due to the change of protein secondary structure. As Jiang et al [ 13 ] reported, ozone treatment led to a lower amount of α-helical and higher amount of β-sheet and random coil, which subsequently promoted protein unfolding and proteolysis [ 36 ]. However, significantly lower ( p < 0.05) concentrations of Cysteine (Cys), Methionine (Met), Lysine (Lys), and Isoleucine (Ile) were determined in the OM group.…”

Biomarkers and biosensors for the diagnosis of noncompliant pH, dark cutting beef predisposition, and welfare in cattle

“…This may explain the observed differences between individuals or animal groups, as not all animals will respond with a similar increase in muscle use during a stressful event. Zhao et al., 2022 investigated the effect of showering time (typically used for decontamination and fecal removal in China) in winter on adrenaline levels and pHu and found that plasma adrenaline was significantly increased with showering time ( p = .012), while pHu increased from 6.05 to 6.23. The observed complexity with clear differences in meat quality outcome and correlation with catecholamine, catecholamine metabolites, and pHu depending on animal sex and breed highlights the complexity of stress measurements as stress causes can be multifaceted, including physical and psychological stressors and the need to perform rapid measurements at the individual level to improve the prediction accuracy for DC predisposition.…”

“…DC continues to be an issue in the industry, with an average reported incidence of ∼1.3% in Canada, ∼3.2% in the United States, ∼10% in China and approximately 5% in Australia (Jose et al., 2015; Mahmood et al., 2019; Zhao et al., 2022). Moreover, pH noncompliance can be unequally distributed geographically, causing extensive economic losses to producers in certain areas (Mahmood et al., 2019).…”

“…Moreover, pH noncompliance can be unequally distributed geographically, causing extensive economic losses to producers in certain areas (Mahmood et al., 2019). For instance, it was recently reported that the DC prevalence in Shandong, China, can reach up to 19% (Zhao et al., 2022). DC causes substantial economic losses to the industry due to the scale of production and the downgraded value of affected meat.…”

“…Thus, psychological stress can contribute to the differences observed between individual animals in a cohort in terms of DC outcome, while nutritional plane and physical stressors govern the overall potential of a cohort to develop DC. DC continues to be an issue in the industry, with an average reported incidence of ∼1.3% in Canada, ∼3.2% in the United States, ∼10% in China and approximately 5% in Australia (Jose et al, 2015;Mahmood et al, 2019;Zhao et al, 2022). Moreover, pH noncompliance can be unequally distributed geographically, causing extensive economic losses to producers in certain areas (Mahmood et al, 2019).…”