Open AccessAnalysis of subcutaneous swine fat via deep Raman spectroscopy using a fiber-optic probe
Author(s) -
Jeon Woong Kang,
Soo Yeong Lim,
Luis H. Galindo,
Hongman Yoon,
Ramachandra R. Dasari,
Peter T. C. So,
Hyung Min Kim
Publication year - 2020
Publication title -
analyst (london. 1877. online)/analyst
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.998
H-Index - 153
eISSN - 1364-5528
pISSN - 0003-2654
DOI - 10.1039/d0an00707b
Subject(s) - subcutaneous fat , raman spectroscopy , chemistry , optical fiber , offset (computer science) , spectroscopy , analytical chemistry (journal) , materials science , optics , adipose tissue , chromatography , biochemistry , physics , quantum mechanics , computer science , programming language
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.