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The use of elastography to measure quality characteristics of pork semimembranosus muscle

机译:弹性成像法测量猪肉半膜肌质量特征

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The ohjectives of this study were to determine if ultrasonic strain image analysis could estimate pork eating quality parameters (such as fresh color, drip loss, and Warner/Bratzler shear). Intact semimembranosus (SM) muscles (cap off) were analyzed for ulti- mate pH (pH_ult). Forty-five SM muscles were selected from the larger allotment of fresh hams over a 3-week period. The SM muscles were selected based on high and low pH_ult, in an attempt to represent a wide range of pork quality. Ultrasonic strain images were obtained perpendicular to the SM muscle fibers of an 8-cm cube. Radio-frequency data from each SM were obtained from a field-of-view (FOV) of 40×30 mm~2 and digitized for each compression step. Tissue displacements were computed for each com- pression step. Tissue strains were computed from displacement data located in the FOV representing areas of harder and softer muscle tissue and converted to gray scale images at 256 levels. Tissue irregularity of hardness and softness was measured using Fractal dimension and Haralicks parameters. Twenty-one Fractal dimension (FR) parameters, at two neighborhood distances (N), from each strain image and nine Haralick's (HAR) textural parameters (inter-pixel distance = 1) were analyzed for each image. The variable FR4N4 had a -0.279 correlation with SM ultimate pH (p < 0.10); FR6N8 correlated to WB shear force at 0.325 (p < 0.05); and FR21N8 had a correlation coefficient of 0.364 with intramuscular fat (p < 0.01). Linear regression equations generated from FRN and HAR parameters for intramuscular fat (R~2 = 0.468). Warner/Bratzler shear (R~2 = 0.360), and 30 h drip loss(R~2 = 0.208). Although elastographic measurement was significantly correlated to shear (p < 0.05), a better understanding of physical meat tex- ture is necessary before elastography can be used to identify superior quality pork.
机译:这项研究的目的是确定超声波应变图像分析是否可以估计猪肉的进食质量参数(例如鲜色,滴水损失和Warner / Bratzler剪切力)。分析完整的半膜(SM)肌肉(无盖)的最终pH(pH_ult)。在3周的时间内从大量的新鲜火腿中选择了45条SM肌肉。根据高和低pH_ult选择SM肌肉,以尝试代表广泛的猪肉品质。垂直于8厘米立方体的SM肌纤维获得超声应变图像。来自每个SM的射频数据是从40×30 mm〜2的视场(FOV)获得的,并针对每个压缩步骤进行数字化处理。计算每个压缩步骤的组织位移。根据位于FOV中代表较硬和较软的肌肉组织区域的位移数据计算组织应变,并将其转换为256级灰度图像。使用分形维数和Haralicks参数测量组织的硬度和柔软度的不规则性。对于每个图像,分析了距每个应变图像两个邻域距离(N)的二十一个分形维数(FR)参数和九个Haralick(HAR)纹理参数(像素间距离= 1)。变量FR4N4与SM极限pH相关-0.279(p <0.10); FR6N8与WB剪切力为0.325(p <0.05)相关; FR21N8与肌内脂肪的相关系数为0.364(p <0.01)。由FRN和HAR参数生成的肌内脂肪线性回归方程(R〜2 = 0.468)。 Warner / Bratzler剪切力(R〜2 = 0.360)和30小时滴水损失(R〜2 = 0.208)。尽管弹性成像的测量值与剪切力显着相关(p <0.05),但在弹性成像可用于识别优质猪肉之前,有必要更好地了解肉的物理质地。

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