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The potential for predicting purge in packaged meat using low field NMR

机译：使用低场NMR预测包装肉中的清除潜力

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The ability of NMR to predict purge from vacuum-packed pork that was stored for 9 days was investigated. T-2 relaxation was measured at 24 h post mortem (p.m.) and again after 9 days of chilled storage. NMR measurements from day 1 p.m. were limited in predicting day -9 purge (vertical bar r vertical bar = 0.37-0.52). The root mean square error of linear regression (RMSD) for measuring day -9 purge using the relaxation time of intra-myofibrillar water (T-21) measured on day 1 p.m. (r = -0.46) was 131% (range: 1.15-7.69% purge), corresponding to 2.62% (2 x RMSD) prediction error of purge with 95% probability. This indicated that for purge production rate, the distribution and mobility of water in meat on day 1 p.m. may be of little relevance. Further tests were conducted to explain this poor predictability, by taking NMR measurements of water mobility and distribution made on the same meat sample (taken at 96 h p.m.) every day, during a 9-day storage period. By analyzing the T-21 and T-22 domains every day, it was revealed that during the first 5-day of storage, water (86%) moved from intra-myofibrillar space to extra-myofibrillar space. However, this movement did not result in detectable drip. A major liquid loss followed between days 6 and 7 and ceased day 8. This complexity of the water movement between domains during storage may explain the poor predictability of day-9 purge using NMR measurements from day 1. (C) 2017 Elsevier Ltd. All rights reserved.
机译：研究了NMR预测从储存9天的真空包装猪肉中清除的能力。在死后24小时（p.m.）以及冷藏9天后再次测量T-2松弛。从下午1点开始进行NMR测量在预测第-9天净化时受到限制（竖线r竖线= 0.37-0.52）。使用在第1天下午测量的肌原纤维内水的松弛时间（T-21）来测量第-9天净化的线性回归（RMSD）的均方根误差。 （r = -0.46）为131％（清除范围：1.15-7.69％），对应于95％概率清除2.62％（2 x RMSD）的预测误差。这表明，对于吹扫生产率而言，下午1点时肉中水的分布和流动性。可能无关紧要。通过在9天的存储期内每天对同一块肉样品（在下午96点采集）进行的水流动性和分布的NMR测量，进行了进一步的测试以解释这种不良的可预测性。通过每天分析T-21和T-22域，我们发现在储存的前5天中，水（86％）从肌原纤维内部空间转移到了肌原纤维外部空间。但是，该运动不会导致可检测到的滴落。在第6至7天到第8天之间发生了大量的液体损失，这种在存储过程中各域之间水移动的复杂性可能解释了使用第1天的NMR测量结果对第9天吹扫的可预测性差。（C）2017 Elsevier Ltd.所有版权所有。

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