基于红外光谱的石斛品种判别分析

doi:10.3964/j.issn.1000-0593(2014)11-2968-05

Abstract
References
Related Citation (15)

Download: PDF (1075 KB)
Export: BibTeX | EndNote (RIS)

Abstract The difference of Dendrobium varieties were analyzed by Fourier transform infrared (FTIR) spectroscopy. The infrared spectra of 206 stems from 30 Dendrobium varieties were obtained, and showed that polysaccharides, especially fiber, were the main components in Dendrobium plants. FTIR combined with Wilks’ Lambda stepwise discriminative analysis was used to identify Dendrobium varieties. The effects of spectral range and number of training samples on the discrimination results were also analysed. Two hundred eighty seven variables in the spectral range of 1 800～1 250 cm^-1 were studied, and showed that the return discrimination is 100% correct when the training samples number of each species was 2, 3, 4, 5, and 6, respectively, whereas for the remaining samples the correct rates of identification were equal to 79.4%, 91.3%, 93.0%, 98.2%, and 100%, respectively. The same discriminative analyses on five different training samples in the spectral range of 1 800～1 500, 1 500～1 250, 1 250～600, 1 250～950 and 950～650 cm^-1 were compared, which showed that the variables in the range of 1 800～1 250, 1 800～1 500 and 950～600 cm^-1 were more suitable for variety identification, and one can obtain the satisfactory result for discriminative analysis when the training sample is more than 3. Our results indicate that FTIR combined with stepwise discriminative analysis is an effective way to distinguish different Dendrobium varieties.

Key words：Infrared spectroscopy;Discriminative analysis;Dendrobium;Identification.

Received: 2013-12-10 Accepted: 2014-03-03

ZTFLH:

O657.3

Corresponding Authors: JIN Hang E-mail: jinhang2009@126.com

Cite this article:

LIU Fei,WANG Yuan-zhong,YANG Chun-yan, et al. Identification of Dendrobium Varieties by Infrared Spectroscopy [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2014, 34(11): 2968-2972.

URL:

https://www.gpxygpfx.com/EN/10.3964/j.issn.1000-0593(2014)11-2968-05 OR https://www.gpxygpfx.com/EN/Y2014/V34/I11/2968

[1] RAN Mao-xiong, ZHOU Hou-fang, WEI De-sheng, et al(冉懋雄, 周厚坊, 魏德生, 等). Culture Technique of Non-Pollution Dendrobiun one of the Rare Chinese Medicinal Herb(名贵中药材绿色栽培技术石斛). Beijing: Science and Technical Documentation Press(北京: 科学技术文献出版社), 2002.
[2] Kunming Institute of Botany, Chiese Academy of Science(中国科学院昆明植物研究所). A Record of Plants Species in Yunnan(Vol. 14)(云南植物志·第14卷). Beijing: Science Press(北京: 科学出版社), 2003.
[3] MAO You-er, ZHOU Gui-fen(毛幼儿，周桂芬). Journal of Jiangxi University of Traditional Chinese Medicine(江西中医学院学报), 2011, 23(4) : 38.
[4] WANG Xue-jun, XIONG Xing-hua, GUAN Chun-yun(王学军, 熊兴华, 官春云). Crop Research(作物研究), 2010, 24(2): 99.
[5] LI T X, WANG J K, BAI Y F, et al. Nucleic Acids Research, 2004, 32(4): 45.
[6] SUN Su-qin, ZHOU Qun,CHEN Jian-bo(孙素琴, 周群, 陈建波). Analysis of Traditional Chinese Medicine by Infrared Spectroscopy(中药红外光谱分析与鉴定). Beijing: Chemical Industry Press(北京: 化学工业出版社), 2010.
[7] Ma G, Li Y Y, Dong J, et al. Vibrational Spectroscopy, 2013, 64(1): 44.
[8] HU Ai-hua, XING Shi-yan, GONG Qi-liang(胡爱华, 邢世岩, 巩其亮). Journal of Northeast Forestry University(东北林业大学学报), 2009, 37(9): 79.
[9] WANG Dong-hua(汪冬华). Multivariate Statistical Analysid and SPSS Application(多元统计分析与SPSS应用). Shanghai: East University of Science and Technology Press(上海: 华东理工大学出版社). 2010.
[10] ZHANG Xin-xin, LI Yu, JI Yu-jia, et al(张新新, 李雨, 纪玉佳, 等). Journal of Shandong University (Health Sciences)(山东大学学报·医学版), 2012, 50(1): 143.
[11] ZHU Li-jun, WANG Peng, SHI Feng-cheng, et al(朱立军, 王鹏, 施丰成, 等). Journal of Southwest University·Natural Science Edition(西南大学学报·自然科学版), 2012, 34(3): 9.
[12] XIAO Bo, MAO Wen-hua, LIANG Xiao-hong, et al(肖波, 毛文华, 梁小红, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2012, 32 (6): 1620.