Abie Sisay Mebre, Suliga Paweł, Egelandsdal Bjørg, Münch Daniel
Faculty of Ecology and Natural Resource Management, Norwegian University of Life Sciences, 1432 Ås, Norway.
Faculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, 1432 Ås, Norway.
J Electr Bioimpedance. 2024 Jun 28;15(1):75-84. doi: 10.2478/joeb-2024-0008. eCollection 2024 Jan.
The detection of meat quality defects can involve both subjective and objective methods. PSE-like meat is linked to a common pork defect and can be caused by rapid post-mortem damage of muscle fibers. This damage can again be linked to various factors, such as a low ultimate pH or a higher slaughter weight. PSE-like defects are characterized by discoloration, structural damage, and excessive moisture loss. However, the lack of suitable instrument-based methods makes the detection of PSE-like defects difficult, and subjective methods typically suffer from poorer reproducibility. The objective of this study was to establish how subjective visual evaluation correlates with electrical impedance spectroscopy and with traditional quality parameters. To do so, visual scoring was performed together with measurements of bioimpedance, color, and pH in two ham muscles (Adductor, Semimembranosus) for 136 animals 24-hours post-mortem. When comparing with visual scoring, Pearson correlation analysis shows the strongest correlation for bioimpedance ( , r = -0.46, R = 21%), followed by pH (r = 0.44, R = 19%). When using all five quality measures, i.e., , pH, and CIELAB , the multivariate regression model had a prediction error of 0.76 for the visual scores. This was close to the error describing the subjective bias of visual scoring, more specifically the prediction error between the two observers (0.85). In all, showed the strongest correlation among instrument-based quality tests and alone may be used for predicting pork ham structural defects, i.e., as an instrument-based alternative for subjective, visual scoring. However, an instrument that combines with pH and/or *** would improve the prediction of PSE-like quality defects.
肉质缺陷的检测可能涉及主观和客观方法。类PSE肉与一种常见的猪肉缺陷有关，可能是由宰后肌肉纤维的快速损伤引起的。这种损伤又可能与各种因素有关，如最终pH值较低或屠宰体重较高。类PSE缺陷的特征是变色、结构损伤和过度失水。然而，缺乏合适的基于仪器的方法使得类PSE缺陷的检测变得困难，并且主观方法通常具有较差的可重复性。本研究的目的是确定主观视觉评估与电阻抗光谱以及传统质量参数之间的相关性。为此，在宰后24小时对136头动物的两块火腿肌肉（内收肌、半膜肌）进行了视觉评分，并同时测量了生物阻抗、颜色和pH值。与视觉评分相比，Pearson相关分析显示生物阻抗的相关性最强（ ，r = -0.46，R = 21%），其次是pH值（r = 0.44，R = 19%）。当使用所有五个质量指标，即 、pH值和CIELAB 时，多元回归模型对视觉评分的预测误差为0.76。这接近于描述视觉评分主观偏差的误差，更具体地说是两位观察者之间的预测误差（0.85）。总体而言， 在基于仪器的质量测试中显示出最强的相关性，单独即可用于预测火腿结构缺陷，即作为主观视觉评分的基于仪器的替代方法。然而，一种将 与pH值和/或***相结合的仪器将改善类PSE质量缺陷的预测。
