Analysis of subcutaneous swine fat via deep Raman spectroscopy using a fiber-optic probe.,Analyst

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Analysis of subcutaneous swine fat via deep Raman spectroscopy using a fiber-optic probe.
Analyst ( IF 3.6 ) Pub Date : 2020-05-18 , DOI: 10.1039/d0an00707b
Jeon Woong Kang ₁ , Soo Yeong Lim , Luis H Galindo , Hongman Yoon , Ramachandra R Dasari , Peter T C So , Hyung Min Kim

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Since the fat content of pork is a deciding factor in meat quality grading, the use of a noninvasive subcutaneous probe for real-time in situ monitoring of the fat components is of importance to vendors and other interested parties. In this work, we developed a spectroscopic method using a fiber-optic probe for subcutaneous fat analysis that utilizes spatially offset Raman spectroscopy (SORS). Here, normalized Raman spectra were acquired as a function of spatial offset, and the relative composition of fat-to-skin was determined. We found that the Raman intensity ratio varied disproportionately depending on the fat content and that the variations of the slope were correlated to the thickness of the fat layer. Furthermore, ordinary least square (OLS) regression using two components indicated that the depth-resolved SORS spectra reflected the relative thickness of the fat layer. We concluded that the local distribution of subcutaneous fat could be measured noninvasively using a pair of fiber-optic probes.

中文翻译：

使用光纤探针通过深度拉曼光谱分析猪的皮下脂肪。

由于猪肉的脂肪含量是肉品质分级的决定因素，因此使用无创皮下探针对脂肪成分进行实时原位监测对于供应商和其他相关方来说非常重要。在这项工作中，我们开发了一种使用光纤探针进行皮下脂肪分析的光谱方法，该方法利用空间偏移拉曼光谱（SORS）。在这里，获得了作为空间偏移函数的归一化拉曼光谱，并确定了脂肪与皮肤的相对组成。我们发现拉曼强度比随脂肪含量变化不成比例，并且斜率的变化与脂肪层的厚度相关。此外，使用两个分量的普通最小二乘 (OLS) 回归表明深度分辨 SORS 光谱反映了脂肪层的相对厚度。我们得出的结论是，可以使用一对光纤探头无创地测量皮下脂肪的局部分布。

更新日期：2020-06-29

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