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Comparison and chemical structure-related basis of species discrimination of animal fats by Raman spectroscopy using near-infrared and visible excitation lasers.
- Source :
-
LWT - Food Science & Technology . Dec2020, Vol. 134, pN.PAG-N.PAG. 1p. - Publication Year :
- 2020
-
Abstract
- The objective of present study is mainly to compare the discrimination capabilities of near-infrared Fourier transform Raman (FT-Raman, λ ex ~1064 nm) and visible-Raman (vis-Raman, λ ex ~532 nm) spectroscopy for animal fats. All animal fats were analysed by gas chromatography and then the spectra were collected using FT-Raman and vis-Raman spectroscopy. Although vis-Raman spectra partly presented fluorescence interference, the resulting Raman spectra still had higher signal-to-noise ratio than the corresponding FT-Raman spectra. Animal fats from different species produced obvious differences in peak intensity ratios at 1653/1745 and 1653/1441 cm−1, as well as shoulders at 1298 and 1264 cm−1. Chemometric analysis demonstrated that vis-Raman spectroscopy possessed better discrimination capability for animal fat compared to FT-Raman spectroscopy. According to the chemical structure-related basis, the differing degrees of unsaturated fatty acid and relative cis/trans fatty acid contents could be sufficiently reflected in Raman spectra and were the important factors for the successful species discrimination of animal fat. • Animal lipids were analysed by GC and showed different fatty acid constituents. • FT-Raman and vis-Raman spectra of animal fats were compared in detail. • Characteristic Raman peaks and constituents of animal fat were highly correlated. • FT-Raman and vis-Raman spectroscopy were quick and reliable discrimination methods. • Degree of unsaturation and relative cis/trans fatty acids were important factors. [ABSTRACT FROM AUTHOR]
- Subjects :
- *TRANS fatty acids
*FAT
*UNSATURATED fatty acids
*ANIMAL species
*GAS chromatography
Subjects
Details
- Language :
- English
- ISSN :
- 00236438
- Volume :
- 134
- Database :
- Academic Search Index
- Journal :
- LWT - Food Science & Technology
- Publication Type :
- Academic Journal
- Accession number :
- 146635670
- Full Text :
- https://doi.org/10.1016/j.lwt.2020.110105