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Differentiation between Normal and White Striped Turkey Breasts byVisible/Near Infrared Spectroscopy and Multivariate DataAnalysis

机译:正常和白色条纹土耳其乳房的区别可见/近红外光谱和多元数据分析

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摘要

The appearance of white striations over breast meat is an emerging and growingproblem. The main purpose of this study was to employ the reflectance ofvisible-near infrared (VIS/NIR) spectroscopy to differentiate between normal andwhite striped turkey breasts. Accordingly, 34 turkey breast fillets wereselected representing a different level of white striping (WS) defects (normal,moderate and severe). The findings of VIS/NIR were analyzed by principalcomponent (PC1) analysis (PCA). It was found that the first PC1 for VIS, NIR andVIS/NIR region explained 98%, 97%, and 96% of the total variation, respectively.PCA showed high performance to differentiate normal meat from abnormal meat(moderate and severe WS). In conclusion, the results of this research showedthat VIS/NIR spectroscopy was satisfactory to differentiate normal from severeWS turkey fillets by using several quality traits.
机译:乳房肉上出现白色条纹的现象正在出现并且正在增长问题。这项研究的主要目的是利用可见-近红外(VIS / NIR)光谱可区分正常和近红外白色条纹的火鸡胸脯。因此,有34个火鸡胸片选择代表不同水平的白色条纹(WS)缺陷(正常,中度和严重度)。校长分析了VIS / NIR的发现组件(PC1)分析(PCA)。发现第一台用于VIS,NIR和PC的PC1VIS / NIR区域分别解释了总变化的98%,97%和96%。PCA具有区分正常肉和异常肉的高性能(中度和重度WS)。总之,这项研究的结果表明VIS / NIR光谱可以令人满意地区分正常和严重WS土耳其鱼片通过使用几个质量特征。

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