Department of Animal Sciences, University of Illinois, Urbana-Champaign, IL 61801.
USDA, ARS, U.S. Meat Animal Research Center, Clay Center, NE 68933.
J Anim Sci. 2019 May 30;97(6):2441-2449. doi: 10.1093/jas/skz131.
Adequate carcass chilling is required to optimize pork quality and food safety. The rate at which carcasses chill is dependent on their mass. Hot carcass weight has increased steadily over the years, certainly affecting the chilling rate of the average carcass in contemporary abattoirs. Therefore, the objective was to model the effect of HCW on temperature decline of a contemporary population of pork carcasses slaughtered at a commercial abattoir that used a blast-chilling method. In addition, carcasses were sorted into HCW classes, and the effect of HCW group was tested on the rate of temperature decline of the longissimus dorsi and semimembranosus. Hot carcass weight, internal temperature of the loin muscle (at the 10th rib) and ham, as well as ambient temperature, were recorded from 40 to 1,320 min postmortem (45 time points) on 754 pork carcasses. An exponential decay model based on Newton's law of cooling, T(t)=Ta+(T0-Ta)e-kt, was fit to temperature decline of the ham and loin of the whole population using PROC MODEL of SAS. The initial models for the decline of both ham and loin temperature displayed significant autocorrelation of errors based on evaluation of the autocorrelation function plots and Durbin-Watson test (P < 0.0001). Therefore, second- and third-order autocorrelation parameters were tested. Based on Durbin-Watson test, the use of second-order autocorrelation model with lags of 1 and 2 was deemed adequate and was therefore included in all subsequent models. This base model and its respective parameter estimates were all significant (P < 0.01) for the whole population. Carcasses approximating 85, 90, 95, 100, and 105 kg (± 1 kg) were selected and binned into their respective weight classes. Dummy variables were used to compare the effect of HCW class on parameter estimate of ham and loin models. The developed model significantly fit all weight classes (P < 0.01) for both ham and loin temperature decline. For both loin and ham models, estimates of the rate constant (k) generally decreased as HCW increased. For loin temperature, k estimate for 105-kg carcasses was 0.00124 less (P = 0.02) than 85-kg carcasses, with the intermediate HCW classes not differing from the 85-kg class. For ham temperature, estimates of k for 90, 95, 100, and 105 kg HCW were all significantly and successively less than the k estimate for 85 kg class. For perspective, loins of 95-kg carcasses were estimated to reach 2 °C in 17 h, whereas loins from 105-kg carcasses would not reach 2 °C until 27 h. For hams, 95-kg carcasses were projected to reach 2 °C in 21 h, whereas those from 105-kg carcasses would take 28 h. Overall, HCW significantly affects the rate of temperature decline of pork hams, but not loins from pork carcasses weighing between 85 and 100 kg.
为了优化猪肉质量和食品安全,需要对胴体进行充分冷却。胴体的冷却速度取决于其质量。多年来,热胴体重量稳步增加,这肯定会影响当代屠宰场中平均胴体的冷却速度。因此,本研究的目的是建立一个模型,以模拟 HCW 对商业屠宰场使用冲击冷却方法屠宰的当代猪胴体温度下降的影响。此外,胴体被分为 HCW 组,测试 HCW 组对背最长肌和半膜肌温度下降率的影响。在 754 头猪的胴体上,从死后 40 分钟到 1320 分钟(45 个时间点)记录热胴体重量、腰肉(第 10 肋)和火腿内部温度以及环境温度。使用 SAS 的 PROC MODEL 基于牛顿冷却定律,根据温度下降的 Ham 和腰肉的指数衰减模型,T(t)= Ta +(T0-Ta)e-kt,拟合整个种群的温度下降情况。Ham 和腰肉温度下降的初始模型根据自相关函数图和 Durbin-Watson 检验(P < 0.0001)显示出显著的误差自相关。因此,测试了二阶和三阶自相关参数。基于 Durbin-Watson 检验,认为使用滞后 1 和 2 的二阶自相关模型是合适的,因此将其包含在所有后续模型中。该基础模型及其各自的参数估计值对整个种群均具有统计学意义(P < 0.01)。选择接近 85、90、95、100 和 105 千克(± 1 千克)的胴体,并将其归入各自的重量组。使用虚拟变量来比较 HCW 组对 Ham 和腰肉模型参数估计的影响。所开发的模型显著适用于所有重量组(P < 0.01)的 Ham 和腰肉温度下降。对于腰肉和 Ham 模型,速率常数(k)的估计值通常随着 HCW 的增加而降低。对于腰肉模型,105-kg 胴体的 k 估计值比 85-kg 胴体低 0.00124(P = 0.02),而中间 HCW 组与 85-kg 组没有差异。对于 Ham 温度,90、95、100 和 105 kg HCW 的 k 估计值均显著且连续小于 85 kg 类别的 k 估计值。从不同角度来看,95-kg 胴体的腰肉预计在 17 小时内达到 2°C,而 105-kg 胴体的腰肉要到 27 小时才能达到 2°C。对于 Ham,预计 95-kg 胴体将在 21 小时内达到 2°C,而 105-kg 胴体则需要 28 小时。总体而言,HCW 显著影响 85 至 100 千克重的猪胴体 Ham 的温度下降速度,但不影响腰肉。