Facultad Ciencias Veterinarias, Instituto de Ciencia Animal, Universidad Austral de Chile, Valdivia, Chile.
Meat Sci. 2012 Feb;90(2):378-85. doi: 10.1016/j.meatsci.2011.08.002. Epub 2011 Aug 12.
Visible and near infrared reflectance spectroscopy (VIS-NIRS) was used to discriminate meat and meat juices from three livestock species. In a first trial, samples of Longissimus lumborum muscle, corresponding to beef (31) llamas (21) and horses (27), were homogenised and their spectra collected in reflectance (NIRSystems 6500 scanning monochromator, in the range of 400-2500 nm). In the second trial, samples of meat juice (same muscle) from the same species (20 beef, 19 llama and 19 horse) were scanned in folded transmission (transflectance). Discriminating models (PLS regression) were developed against "dummy" variables, testing different mathematical treatments of the spectra. Best models indentified the species of almost all samples by their meat (reflectance) or meat juice (transflectance) spectra. A few (three of beef and one of llama, for meat samples; one of beef and one of horse, for juice samples) were classified as uncertain. It is concluded that NIRS is an effective tool to recognise meat and meat juice from beef, llama and horses.
可见近红外反射光谱(VIS-NIRS)用于区分来自三种牲畜物种的肉和肉汁。在第一次试验中,取自长肌(牛,31 份;羊驼,21 份;马,27 份)的样本被均质化,并在反射率下采集其光谱(NIRSystems 6500 扫描单色仪,范围为 400-2500nm)。在第二次试验中,来自相同物种(牛,20 份;羊驼,19 份;马,19 份)的肉汁样本以折叠透射(透射反射)进行扫描。针对“虚拟”变量开发了判别模型(偏最小二乘回归),测试了光谱的不同数学处理方法。最佳模型通过其肉(反射率)或肉汁(透射反射率)光谱识别了几乎所有样本的物种。少数(牛肉样本中的三个,羊驼样本中的一个;肉汁样本中的一个来自牛肉,一个来自马)被归类为不确定。结论是,NIRS 是一种有效工具,可用于识别牛肉、羊驼和马的肉和肉汁。