Rapid Identification of Dendrobium Plants Based on Near Infrared Diffuse Reflection Spectroscopy
DING Chang-chun1, 2, 3, FANG Xiang-jing4, ZHAO Yan-li5, LI Gui-xiang4, LI Tao6, WANG Yuan-zhong5*, XIA Nian-he1*
1. South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, China 2. University of Chinese Academy of Sciences, Beijing 100049, China 3. Bio-chemistry Department, Wenshan University, Wenshan 663000, China 4. Yunnan Academy of Forestry, Kunming 650204, China 5. Institute of Medicinal Plants, Yunnan Academy of Agricultural Sciences, Kunming 650200, China 6. Resources and Environment College, Yuxi Normal University, Yuxi 653100, China
Abstract:Near infrared diffuse reflection spectra of 15 species’ 171 samples of Dendrobium combined with chemometrics statistical analysis were used to build prediction model, in order to discriminate different species of Dendrobium quickly and nondestructively. Hotelling T2 was applied to stability analysis of spectrum of 5 random drawing samples, and the results showed that the samples spectrum possessed good stability. Orthogonal test L24(2×4×3×8) was designed to optimize optical path type, spectral band, derivative and smooth. The result of orthogonal test was analyzed by principal component analysis, which revealed that when 6 500~4 000 cm-1 spectral band was applied, and with multiplicative scatter correction, second derivative, Norris smooth, and the number of principal components 7, the spectrum distinguishing accuracy was 100%. With the optimized condition of orthogonal test as the input value of partial least squares discriminant analysis and random drawing 123 samples as calibration set to establish the prediction model, and the rest 48 samples as prediction set were use to assess the property of the prediction model, the results indicated that the accumulating contribution rate of the first 3 principal components of the model was 99.36%, the identification of the standard deviation was ±0.1, and the correct recognition rate of the model was 97.92%. The results were satisfied. The method provided a new way for the rapid identification of different species of Dendrobium, and also supplied a reference for the authentication of medicinal plants.
[1] Dressler Robert L. Phylogeny and Classification of the Orchid Family. Cambridge: Cambridge University Press, 1933. [2] JI Zhan-he(吉占和). Journal of Systematics and Evolution(植物分类学报), 1980, 18(4): 427. [3] LI Jiang-ling, XIAO Xiao-he (李江陵, 肖小河). China Journal of Chinese Materia Medica(中国中药杂志), 1995, 20(1): 7. [4] Xiao L, Ng T B, Feng Y B, et al. Phytomedicine, 2011, 18 (2-3): 194. [5] Chinese Pharmacopoeia Commission(中华人民共和国药典委员会). Pharmacopoeia of the People’s Republic of China (中华人民共和国药典), Part One (第一部). Beijing: China Medical Science Press(北京:中国医学科学出版社), 2010. [6] Yves S Y H, Cheng C, Sylvian K S L, et al. Bioorganic and Medicinal Chemistry, 2008, 16(4): 6054. [7] Lau D T W, Poon M K T, Leung H Y, et al. Chinese Medicine, 2011, 2: 103. [8] OU Huan-jiao, CHENG Jin-le, LI Xian-xia, et al(欧焕娇, 成金乐, 李先霞, 等). Journal of Chinese Medicinal Materials(中药材), 2009, 32(6): 871. [9] FU Juan, DU Jing, HUANG Lin-fang(付 娟, 杜 静, 黄林芳). Journal of Guangdong Pharmaceutical University(广东药学院学报), 2013, 29(1): 1. [10] LIU Jing, HE Tao, CHUN Ze(刘 静, 何 涛, 淳 泽). Chinese Journal of Applied and Environmental Biology(应用与环境生物学报), 2008, 14(6): 855. [11] Liu X H, Xu C H, Sun S Q, et al. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2012, 97: 290. [12] DING Yong-li, WANG Yuan-zhong, ZHANG Ji, et al(丁永丽,王元忠,张 霁,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2013, 33(2): 471. [13] Yang J D, Liu Z Y, Liu B, et al. Health, 2012, 4(4): 196. [14] Eriksson L, Johansson E, Kettaneh-Wold N, et al. Multi-and Megavariate Data Analysis, Part Ⅰ: Basic Principles and Applications. Second Revised and Enlarged Edition, Umetrics AB, 2006.