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Autofluorescence excitation-emission matrices as a quantitative tool for the assessment of meat quality

机译:自发荧光激发排放矩阵作为评估肉质的定量工具

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摘要

Commercially produced meat is currently graded by a complex and partly subjective multiparameter methodology; a quantitative method of grading, using small samples would be desirable. Here, we investigate the correlation between commercial grades of beef and spectral signatures of native fluorophores in such small samples. Beef samples of different commercial grades were characterized by fluorescence spectroscopy complemented by biochemical and histological assessment. The excitation-emission matrices of the specimens reveal five prominent native autofluorescence signatures in the excitation range from 250 to 350 nm, derived mainly from tryptophan and intramuscular fat. We found that these signatures reflect meat grade and can be used for its determination.
机译:商业生产的肉目前由复杂和部分主观的多级多级方法进行分级; 使用小样品的定量分级方法是理想的。 在这里,我们研究了这种小样品中的商业等级和天然荧光团的光谱签名之间的相关性。 不同商业等级的牛肉样品的特征是通过生物化学和组织学评估补充的荧光光谱。 试样的激发排放矩阵显示出50〜350nm的激发范围内的五个突出的本地自过荧光签名,主要来自色氨酸和肌肉脂肪。 我们发现这些签名反映了肉等级,可用于其测定。

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