Objective: To establish a method for rapid identification of C.sinensis and C.militaris by surface-enhanced Raman spectroscopy(SERS) and chemometric methods to qualitatively study C.sinensis and C.militaris from different sources(tussah, rice-cultured C.militaris and natural C.militaris). Methods: The spectral measurement range of the laser Raman spectrometer was 0-3 200 cm-1, the laser wavelength was 633 nm, the total power was 20 mW, the objective lens was 50 times, the intensity of the excitation light source was 0.5%, and the scanning time was about 1 min. The laser Raman spectra of the samples before and after surface enhancement technology were collected and Origin 8.0 software was used to denoise and normalize the spectra. Furthermore, a method for judging the species of C.sinensis and C.militaris was established by means of variance analysis combined with cluster analysis and principal component analysis. Results: The SERS of the four samples had seven common peaks at 150, 228, 812, 934, 1 041, 1 395 and 2 929 cm-1. The absorption peaks of C.sinensis (150, 228, 812 and 934 cm-1) were significantly weaker than those of C.militaris, while the absorption peaks at 1 041 and 2 929 cm-1 were significantly stronger than that of C.militaris. All the three species of C.militaris had strong absorption peaks in the range of 1 625-2 929 cm-1, while C.sinensis didn’t have. The results of principal component analysis and clustering analysis showed that the three species of C.militaris were classified as one type and C.sinensis as one type. Conclusion: The method is easy to operate, fast and accurate, the detection process is non-destructive, the characteristics and differences of the obtained spectra are obvious, and it can be used for the qualitative identification of C.sinensis and C.militaris.
SUN Jia-hui, FENG Yuan, WANG Shan, SHENG Yu, AN Li-ping, DU Pei-ge, SUN Jing-bo
. Identification of Cordyceps sinensis and Cordyceps militaris by surface enhanced Raman spectroscopy with chemometric analysis*[J]. Chinese Journal of Pharmaceutical Analysis, 2022
, 42(4)
: 727
-733
.
DOI: 10.16155/j.0254-1793.2022.04.22
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