DYNAMIC RAMAN FUSION SPECTROSCOPY FOR RAPID QUALITY DISCRIMINANT ANALYSIS OF RED WINE
Abstract
The dynamic Raman spectra of a brand of red wine (aa) as the main research object were collected over a range of laser integration times (1–5 s) to observe the changing trends of molecules in the wine under experimental conditions. The three-dimensional Raman characteristic spectrum of this wine was then constructed further by two-dimensional correlation fusion analysis. The fluctuations of the three-dimensional Raman spectra were also evaluated using a similarity algorithm. The correlation coefficients were 0.977 ± 0.011 and 0.990 ± 0.006 based on synchronous and asynchronous two-dimensional correlation Raman spectroscopy, respectively. These results suggested that the samples of wine aa were highly self-similar and could be effectively distinguished from two different brands of red wine (bb and cc) based on their different spectral responses. Therefore, this method has the potential to supplement existing methods for the classification analysis of red wine.
Keywords
Raman spectroscopy,
two-dimensional correlation analysis,
fusion analysis,
rapid discrimination,
red wine
Supporting agencies: This research was financial support by National Natural Science Foundation of China (61602217, 61373058) and University Natural Science Research Project of Jiangsu Province (16KJB150015).
About the Authors
Zheng-Yong Zhang
Nanjing University of Finance and Economics
China
China
School of Management Science and Engineering
Nanjing Jiangsu 210023Jun Liu
Nanjing University of Finance and Economics
China
China
School of Management Science and Engineering
Nanjing Jiangsu 210023References
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Review
For citations:
Zhang Zh., Liu J. DYNAMIC RAMAN FUSION SPECTROSCOPY FOR RAPID QUALITY DISCRIMINANT ANALYSIS OF RED WINE. Zhurnal Prikladnoii Spektroskopii. 2020;87(1):116-121.
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