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A fast and non-destructive method to discriminate beef samples using TD-NMR.

机译:一种快速,无损的使用TD-NMR鉴别牛肉样品的方法。

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摘要

Carr-Purcell-Meiboom-Gill (CPMG) and Continuous Wave Free Precision (CWFP) pulse sequences were used to obtain time-domain 1H Nuclear Magnetic Resonance (TD-NMR) data of beef samples. A total of 99 beef samples from different bull race (Angus, Bonsmara and Canchim) and sex (heifers and steer) were used in this study. The CPMG and CWFP data sets were processed using univariate and multivariate analysis in order to develop classification models to discriminate the samples according to the animal sex and bull race. A paired Student's t test indicated that the univariate models obtained with CWFP data set (using M z/M o) had superior performance than those obtained with CPMG (using T 2 values). Multivariate models showed similar predictability for both pulse sequences, with an average of correct classification higher than 80% for most of models developed. In general, the results showed that the TD-NMR spectroscopy when combined with univariate and multivariate analysis could provide a valuable tool for tracing the sex and bull race of beef samples, providing a reliable identification in a rapid, relatively cheap and non-invasive way, even in packages
机译:用Carr-Purcell-Meiboom-Gill(CPMG)和连续无波精密度(CWFP)脉冲序列获得牛肉样品的时域 1 H核磁共振(TD-NMR)数据。在这项研究中,总共使用了来自不同公牛种族(安格斯,邦斯马拉和坎奇姆)和性别(小母牛和公牛)的99个牛肉样品。使用单变量和多变量分析处理CPMG和CWFP数据集,以建立分类模型,以根据动物性别和公牛种族区分样本。配对的Student t检验表明,使用CWFP数据集(使用M z / M o )获得的单变量模型的性能优于使用CPMG(使用T 2 个值)。多变量模型对两个脉冲序列都显示出相似的可预测性,大多数开发的模型的正确分类平均值均高于80%。总的来说,结果表明,TD-NMR光谱结合单变量和多变量分析可提供一种有价值的工具来追踪牛肉样品的性别和公牛,以快速,相对便宜且无创的方式提供可靠的鉴定,甚至是包装

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