OPJ  Vol.3 No.3 , July 2013
Multispectral Imaging for Authenticity Identification and Quality Evaluation of Flos carthami
Abstract: The identification and quality evaluation of Flos carthami were studied using tunable liquid spectral imaging instrument, to discuss the application range and advantages of spectral imaging technology in Chinese medicine identification and quality control field. The Flos carthami was indentified by extracting the normalized characteristic spectral curves of Flos carthami, Crocus sativus and Dendranthema morifolium, which were standard samples supplied by National Institute for Drug Control. The qualities of Flos carthamies collecting from different pharmacies were evaluated by extracting their normalized characteristic spectral curves. The imaging spectrum testing system was designed independently. The spectral resolution was 5 nm, and the spectral range was from 400 nm to 680 nm. The results showed that the normalized characteristic spectral curve of Flos carthami was significantly different from those of Crocus sativus’ and Dendranthema morifolium’s, and the fluorescence intensity of Flos carthami from different commercial sources were different. Spectral imaging technology could be used to identify and evaluate Flos carthami, and operation method was rapid, convenient and non-destructive.
Cite this paper: C. Hu, Q. Meng, J. Ma, Q. Pang and J. Zhao, "Multispectral Imaging for Authenticity Identification and Quality Evaluation of Flos carthami," Optics and Photonics Journal, Vol. 3 No. 3, 2013, pp. 229-232. doi: 10.4236/opj.2013.33037.

[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.

[2]   A. A. Gowen, C. P. Donnell, P. J. Cullen, G. Downey and J. M. Frias, “Hyperspectral Imaging: An Emerging Process Analytical Tool for Food Quality and Safety Control,” Trends in Food Science & Technology, Vol. 18, No. 12, 2007, pp. 590-598.

[3]   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.

[4]   G. E. Masry, N. Wang, A. E. Sayed, et al., “Early Detection of Apple Bruises on Different Background Colors Using Hyperspectral Imaging,” Food Science and Technology, Vol. 41, No. 2, 2008, pp. 337-345.

[5]   D. Wu, H. Yang and X. Chen, “Application of Image Texture for the Sorting of Tea Categories Using Multi-Spectral Imaging Technique and Support Vector Machine,” Journal of Food Engineering, Vol. 88, No. 3, 2008, pp. 474-483.

[6]   J. L. Yang, T. Zhu and Y. Xu, “Study on Ultraviolet Fluorescence Spectral of Monomers of Distilled Spirits,” Spectroscopy and Spectral Analysis, Vol. 29, No. 12, 2009, pp. 3339-3343.

[7]   L. Liang, L. Wang, Q. Pang, et al., “Study of Cortex Phel lodendri Chinensis Decoction Experiment Based on the Spectral Imaging Technology,” Spectroscopy and Spectral Analysis, Vol. 32, No. 5, 2012, pp. 1359-1361.

[8]   J. Zhao, J. Ma, Q. Pang, et al., “Identification and Analysis of Five Kinds of Chinese Traditional Medicine by Spectral Imaging Technology,” Lishizhen Medicine and Material Medical Research, Vol. 23, No. 1, 2012, pp. 188-190.

[9]   J. Zhao, Q. Pang, J. Ma, et al., “The Research on Active Constituent Distribution of Rhizoma coptidis,” Spectroscopy and Spectral Analysis, Vol. 31, No. 6, 2011, pp. 1692-1696.

[10]   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.

[11]   C. Dai, Q. Pang, J. Ma, et al., “Spectral Imaging Finger print of Cortex Phellodendri Chinensispiece,” Laser & Optoelectronics Progress, Vol. 48, 2011, Article ID: 093 001.

[12]   J. Zhao, Q. Pang, J. Ma, et al., “Design of the Continuous Spectrum Imaging Apparatus Based on LCTFs,” Acta Photonica Sinica, Vol. 37, No. 4, 2008, pp. 758-762.