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Application of Multispectral Imaging Method in Rapid Identification and Analysis of Chinese Herbal Medicine Powders

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DOI: 10.4236/opj.2013.32024    3,122 Downloads   4,563 Views  


Five kinds of traditional flower Chinese medicine powders (TFCMD) were identified using tuneable liquid spectral imaging instrument, to discuss the application range and advantages of spectral imaging technology in Chinese medicine identification and analysis field. The testing system is the liquid crystal multispectral imaging system designed by ourselves. All the tests are standard samples supplied by National Institute for Drug Control. The spectral cubes of Campsis grandiflora, Carthamus tinctorius, Albizzia julibrissin, Dendranthema morifolium, and Dendranthema indicum were captured, and then the normalized characteristic spectral curves of them were picked up. The spectral resolution is 5 nm, and the spectral range is 400 nm - 650 nm. The result shows that different TFCMD has different normalized characteristic fluorescence spectral curve. Spectral imaging technology can be used to identify TFCMD, and the testing course is convenient, quick, noninvasive and without pre-treatment.

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The authors declare no conflicts of interest.

Cite this paper

C. Hu, Q. Meng, Q. Pang, J. Ma and J. Zhao, "Application of Multispectral Imaging Method in Rapid Identification and Analysis of Chinese Herbal Medicine Powders," Optics and Photonics Journal, Vol. 3 No. 2, 2013, pp. 147-151. doi: 10.4236/opj.2013.32024.


[1] A. F. H. Goetz, G. Vane, T. E. Solomon, and B. N. Rock, “Imaging Spectrometry for Earth Remote Sensing,” Science, Vol. 228, No. 4704, 1985, pp. 1147-1153. doi:10.1126/science.228.4704.1147
[2] S. Xiao, S. Fan, Y. Li and Y. Zhao, “Progress of Spectral Imaging Technique,” Modern Instruments, No. 5, 2003, pp. 5-8.
[3] K. Heia, A. Sivertsen, S. Stormo, et al., “Detection of Nematodes in Cod (Gadus morhua) fillets by imaging spectroscopy,” Journal of Food Science, Vol. 72, No. 1, 2007, pp. E011-E015. doi:10.1111/j.1750-3841.2006.00212.x
[4] Y. Peng and R. Lu, “Prediction of Apple Fruit Firmness and Soluble Solids Content Using Characteristics of Mul tispectral Scattering Images,” Journal of Food Engineering, Vol. 82, No. 2, 2007, pp. 142-152. doi:10.1016/j.jfoodeng.2006.12.027
[5] M. Liu, Q. Chen and H. Lin, “The Study of Non-Destructive Measurement of Fruit Internal Qualities Using Spectral Imaging,” Acta Optica Sinica, Vol. 27, No. 11, 2007, pp. 2042-2046.
[6] S. Xiao, S. Fan, Y. Zhao, Y. Li and Y. Zhao, “Spectral Imaging Technique and Its Biomedical Researching Applacations,” Modern Scientific Instruments, Vol. 12, No. 1, 2005, pp. 60-62.
[7] J. Zhao, Q. Pang, J. Ma, et al., “Rapid Identification of Cortex Dictamni Pieces and Its Counterfeit Alangium Chinese by Spectral Imaging Method,” China Journal of Chinese Material Medica, Vol. 35, No. 13, 2010, pp. 1696-1698.
[8] Q. Meng, Q. Pang, J. Ma, et al., “Transmission Spectral Imaging Research on Folium Uncariae from Guangdon,” Journal of Chinese Medicinal Material, Vol. 33, No. 5, 2010, pp. 696-699.
[9] J. Zhao, Q. Pang, J. Ma, et al., “Spectral Imaging Finger print of Cortex Phellodendri Chinensis Piece,” Chinese Traditional and Herbal Drugs, Vol. 41, 2010, pp. 384-386.
[10] J. Zhao, Q. Pang, J. Ma, et al., “Design of the Continuous Spectrum Imaging Apparatus Based on LCTFs,” Acta Photonica Sinica, Vol. 37, No. 3, 2008, pp. 758-762.

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