JOURNAL OF QUJING NORMAL UNIVERSITY ›› 2020, Vol. 39 ›› Issue (3): 41-46.

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Study on Two Speices of Russula by Infrared Spectroscopy Combined with Curve-fitting Analysis

Li Dongyu1, Wang Yuan1, Hu Fene2, Yan Cuiqiong1   

  1. 1. College of Physics and Electronic Engineering,Qujing Normal University, Qujing Yunnan 655011,China;
    2. College of Chemistry and Environmental Science, Qujing Normal University,Qujing Yunnan 655011,China
  • Received:2020-03-02 Online:2020-05-26

Abstract: Fourier transform infrared spectrometer was used to qualitative analysis the nutrients of Russula virescens and Russula vinosa. The infrared spectra showed that the main nutrients in these two mushroom species were polysaccharides, proteins and lipids. In the characteristic region of infrared spectra, the absorption bands were overlapped with each other, resulting in some spectral information were covered and difficult to obtain the contain information of nutrients. In this paper, second derivative spectroscopy, Fourier self-deconvolution spectroscopy combined with curve-fitting analysis were used to mine the hidden information of overlapping bands. The curve-fitting analysis of the peaks at around 1319, 1151, 936 and 887 cm-1 showed that the content of β-D-glucan in Russula virescens was lower than that in Russula vinosa, but the content of starch was just the opposite. The results showed that Fourier transform infrared spectroscopy combined with data mining method could qualitative analysis the nutrients in mushrooms rapidly.

Key words: infrared spectroscopy, curve-fitting analysis, polysaccharides, Russula virescens, Russula vinosa

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