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- Title
Study on Rhizome Crops by Fourier Transform Infrared Spectroscopy Combined with Wavelet Analysis.
- Authors
Jing REN; Gang LIU; Xingxiang ZHAO; Shuaiqun ZHAO; Ouanhong OU; Juan XU; Jianfei HU
- Abstract
In order to distinguish 8 kinds of rhizome crops, the 40 samples were studied by Fourier transform infrared spectroscopy (FTIR) combined with wavelet transform (WT), principal component analysis (PCA) and hierarchical cluster analysis (HCA). The results showed that the infrared spectra were similar on the whole, but there were differences in peak position, peak shape and peak absorption intensity in the range of 1 800-700 cm-1. The infrared spectra in the range of 1 800-700 cm-1 were selected to perform continuous wavelet transform (CWT) and discrete wavelet transform (DWT). The 15th-level decomposition coefficients of CWT and the 5th-level detail coefficients of DWT were classified by PCA and HCA. The cumulative contribution rates of the first three principal components of CWT and DWT were 93.12% and 89.78%, respectively. The accurate recognition rates of PCA and HCA were all 100%. It is proved that FTIR combined with WT can be used to distinguish different kinds of rhizome crops.
- Subjects
CROPS; ROOTSTOCKS; FOURIER transform infrared spectroscopy; WAVELET transforms; MULTIPLE correspondence analysis (Statistics); HIERARCHICAL clustering (Cluster analysis)
- Publication
Agricultural Science & Technology, 2015, Vol 16, Issue 7, p1522
- ISSN
1009-4229
- Publication type
Article