Tenderness prediction for beef using novel data analysis methods based on system dynamic and acoustic signals

Janna Tholen , Jan Gohe , Helene Dörksen , Theo Kiesel , Matthias Upmann
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Abstract

The aim of this study was to investigate if vibroacoustic methods may be used for the non-destructive determination of beef during its aging process. The vibroacoustic method was based on the observation of mechanical changes in the meat during the aging process and was compared with reference data obtained by Warner-Bratzler shear force measurement as well as sensory testing of the tenderness using a ten-part scale. To evaluate the mechanical properties, transfer functions were used representing the time dependency of the signal and thus the viscoelastic behaviour. In this study, a total of 31 roastbeef samples from 16 different young bulls and two older cows were examined from day of slaughter to day 21 of cold storage with regard to their tenderness. For this purpose, vibroacoustic measurements were carried out on the unprocessed/raw meat at intervals of 1–3 days. The reference measurements using sensor technology and Warner-Bratzler shear force measurement were carried out on the first (day of slaughter) and last (21st day) day on slices of roast beef cooked with saturated steam. In the results of all three methods, the shear force measurement, the sensory test and the vibroacoustic method, showed that roastbeef from the same animal but different halves produced different results. Basically, it is possible to predict the tenderness of roastbeef by taking measurements at the beginning of the maturing process for the end of the maturing period using vibroacoustic methods: Data analysis led to a trend function that roughly reflects the actual tenderness, which is generally higher than the real tenderness represented by the shear-force measurement. In order to obtain a better resolution for recording the mechanical changes during the aging process, the measurements should be carried out at shorter intervals.

利用基于系统动态和声学信号的新型数据分析方法预测牛肉的嫩度
这项研究的目的是调查振动声学方法是否可用于牛肉老化过程中的非破坏性测定。振动声学方法以观察肉类在老化过程中的机械变化为基础,并与华纳-布拉茨勒剪切力测量法获得的参考数据以及使用十部量表进行的嫩度感官测试进行了比较。为了评估机械特性,使用了代表信号时间依赖性的传递函数,从而评估粘弹性行为。在这项研究中,对来自 16 头不同的年轻公牛和两头年长母牛的 31 份烤牛肉样本进行了从屠宰当天到冷藏第 21 天的嫩度检测。为此,每隔 1-3 天对未加工/生肉进行一次振动声学测量。在第一天(屠宰当天)和最后一天(第 21 天),使用传感器技术和 Warner-Bratzler 剪切力测量法对用饱和蒸汽烹制的烤牛肉片进行了参考测量。剪切力测量法、感官测试法和振动声学法这三种方法的结果表明,来自同一动物但不同部位的烤牛肉会产生不同的结果。基本上,使用振动声学方法可以通过在成熟期开始和成熟期结束时进行测量来预测烤牛肉的嫩度:数据分析得出的趋势函数大致反映了实际嫩度,而实际嫩度通常高于剪切力测量所代表的真实嫩度。为了获得更高的分辨率来记录老化过程中的机械变化,应缩短测量间隔。
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