Van Oeckel M J, Warnants N, Boucqué C V
Ministry of Small Enterprises, Traders and Agriculture, Agricultural Research Centre - Ghent, Department Animal Nutrition and Husbandry, Scheldeweg 68, B-9090 Melle-Gontrode, Belgium.
Meat Sci. 1999 Dec;53(4):259-67. doi: 10.1016/s0309-1740(99)00067-4.
The extent to which modification of Warner-Bratzler shear force (WBSF) determinations, relating to storage and preparation of the meat, aperture of the V-shaped cutting blade and shearing velocity, improve the relationship with sensory tenderness perception of pork was studied. Additionally four on-line methods: pH1, FOP1 (light scattering), PQM1 (conductivity) and DDLT (Double Density Light Transmission), were evaluated for their ability to predict tenderness. Sensory tenderness evaluation was conducted on 120 frozen (at -18°C for several months) samples of m. longissimus thoracis et lumborum. After overnight thawing, the meat was grilled to an internal temperature of 74°C and scored on an eight-point scale, from extremely tough to extremely tender. The standard WBSF procedure (protocol A) consisted of heating fresh meat samples (stored for 48 h at 4°C post slaughter) at 75°C for 50 min, cooling in cold tap water for 40 min, taking cylindrical cores parallel to the fibre direction, and shearing at a velocity of 200 mm/min with a blade aperture of 60°. For the prediction of sensory tenderness, the WBSF standard procedure (protocol A) showed the lowest variance (R(2)=15%) and the highest standard error of the estimate (SEE=0.97 N) compared to the other WBSF protocols. A decrease in shearing velocity, from 200 to 100 mm/min and, a replacement of the cutting blade with an aperture of 60° by one with an aperture of 30° led to improvements of R(2) (respectively, 19% vs. 13% and 47% vs. 23%) and SEE (respectively, 0.93 N vs. 0.97 N and 0.80 N vs. 0.97 N) and thus were better predictors of tenderness. A blade aperture of 30° instead of 60° also led to considerably lower WBSF values (22.1 N vs. 30.0 N). Freezing, frozen storage and thawing of the meat, prior to WBSF measurement, resulted in higher shear force values (32.7 N vs. 28.7 N) and a better prediction of tenderness, R(2) (25% vs. 15%) and SEE (0.94 N vs. 1.00 N). Furthermore, preparing the frozen stored meat for WBSF determination in the same way as for the sensory evaluation, namely grilling instead of boiling, led to higher WBSF values (35.5 N vs. 32.7 N) and a further improvement in the prediction of tenderness (R(2)=31% vs. 25% and SEE=0.90 N vs. 0.94 N). From the on-line instruments: pH, FOP and PQM, pH was best in predicting tenderness. Linear regression with tenderness as dependent variable and the on-line techniques as independent variables revealed the following R(2): 16, 8, 8 and 10% and SEE: 0.96, 1.01, 1.01 and 1.00 N for, respectively, pH1, FOP1, PQM1 and DDLT. Thus, the classical instruments and the DDLT technique, which is analogous to the CGM (Capteur Gras/Maigre), an officially accepted carcass grading apparatus in France and Belgium, are not good predictors of tenderness.
研究了与肉的储存和制备、V形切割刀片的孔径以及剪切速度相关的Warner-Bratzler剪切力(WBSF)测定方法的改进程度,以改善其与猪肉感官嫩度感知之间的关系。此外,还评估了四种在线方法:pH1、FOP1(光散射)、PQM1(电导率)和DDLT(双密度光透射)预测嫩度的能力。对120个冷冻(在-18°C下保存数月)的胸腰最长肌样本进行了感官嫩度评估。过夜解冻后,将肉烤至内部温度74°C,并在从极硬到极嫩的八点量表上评分。标准WBSF程序(方案A)包括将新鲜肉样(屠宰后在4°C下保存48小时)在75°C下加热50分钟,在冷自来水中冷却40分钟,取平行于纤维方向的圆柱形芯,并以200毫米/分钟的速度、60°的刀片孔径进行剪切。对于感官嫩度的预测,与其他WBSF方案相比,WBSF标准程序(方案A)的方差最低(R(2)=15%),估计标准误差最高(SEE=0.97 N)。剪切速度从200毫米/分钟降至100毫米/分钟,以及将60°孔径的切割刀片替换为30°孔径的刀片,导致R(2)(分别为19%对13%和47%对23%)和SEE(分别为0.93 N对0.97 N和0.80 N对0.97 N)得到改善,因此是更好的嫩度预测指标。30°而非60°的刀片孔径也导致WBSF值显著降低(22.1 N对30.0 N)。在进行WBSF测量之前,肉的冷冻、冷冻储存和解冻导致更高的剪切力值(32.7 N对28.7 N)以及更好的嫩度预测,R(2)(25%对15%)和SEE(0.94 N对1.00 N)。此外,以与感官评估相同的方式,即烤制而非煮沸,对冷冻储存的肉进行WBSF测定准备,导致更高的WBSF值(35.5 N对32.7 N)以及嫩度预测的进一步改善(R(2)=31%对25%,SEE=0.90 N对0.94 N)。在在线仪器中:pH、FOP和PQM,pH在预测嫩度方面表现最佳。以嫩度为因变量、在线技术为自变量的线性回归显示,pH1、FOP1、PQM1和DDLT的R(2)分别为16%、8%、8%和l0%,SEE分别为0.96 N、1.01 N、1.01 N和1.00 N。因此,传统仪器和类似于法国和比利时官方认可的胴体分级设备CGM(脂肪/瘦肉传感器)的DDLT技术并不是嫩度的良好预测指标。