| 光谱学与光谱分析 |
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| Analysis of Different Parts and Tissues of Panax Notoginseng by Fourier Transform Infrared Spectroscopy |
| LI Jian-rui1, 2, CHEN Jian-bo2, ZHOU Qun2, SUN Su-qin2*, Lü Guang-hua1* |
1. Key Laboratory of the Ministry of Education in China on the Standardization of Chinese Materia Medica, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China
2. Key Laboratory of Bioorganic Phosphorus Chemistry & Chemical Biology (Ministry of Education), Department of Chemistry, Tsinghua University, Beijing 100084, China |
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Abstract The techniques of Fourier transform infrared (FTIR) spectroscopy were applied to analyze the different parts and tissues of Panax Notoginseng (Sanqi, SQ), i.e. rhizome, main root, rootlet, fibrous root, xylem, cambium, phloem and epidermis. Both the FTIR spectra and second derivative spectra of these various parts and tissues of SQ samples were found to be similar. Their dominant component is starch resulting from the characteristic peaks of starch observed at 3 400, 2 930, 1 645, 1 155, 1 080 and 1 020 cm-1 on the spectra of all these SQ samples. However, the varieties of peaks were found on the spectra among these specific samples. The rhizome contains more saponins than others on the basis of the largest ratio of the peak intensity at 1 077 cm-1 to that at 1 152 cm-1. The peaks located at 1 317 and 780 cm-1 on the FTIR spectra of the rhizome and its epidermis indicate that the two parts of SQ samples contain large amount of calcium oxalate, and its content in the latter is relative larger than that in former. The fibrous root contains much amount of nitrate owing to the obvious characteristic peaks at 1 384 and 831 cm-1. For the difference among the various tissues of SQ samples, the peaks at 2 926, 2 854 and 1 740 cm-1 on the FTIR spectra of epidermis is the strongest among the various tissues of main root indicating the largest amount of esters in epidermis. Protein was also found in the cambium of the main root based on the relative strong peaks of amide Ⅰ and Ⅱ band at 1 641 and 1 541 cm-1, respectively. The results indicate that FTIR spectra with its second derivative spectra can show the characteristic of the various parts and tissues of SQ samples in both the holistic chemical constituents and specific chemical components, including organic macromolecule compounds and small inorganic molecule compounds. FTIR spectroscopy is a useful analytical method for the genuine and rapid identification and quality assessment of SQ samples.
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Received: 2013-07-24
Accepted: 2013-10-30
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Corresponding Authors:
SUN Su-qin, Lü Guang-hua
E-mail: sunsq@tsinghua.edu.cn; lughcd@aliyun.com
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[1] Pharmacopeia Committee of the People’s Republic of China (国家药典委员会). Pharmacopeia of the People’s Republic of China (中华人民共和国药典). Beijing: The Medicine Science and Technology Press of China(北京: 中国医药科技出版社), 2010.
[2] XIAO Pei-gen(肖培根). New Chinese Medicinal Herbal(新编中药志). Beijing: Chemical Industry Press (北京：化学工业出版社), 2001.
[3] BAO Jian-cai, LIU Gang, CONG Deng-li, et al (鲍建才, 刘 刚, 丛登立, 等). Chinese Traditional Patent Medicine(中成药), 2006, 28(2): 246.
[4] RUAN Jia, HU Jian-hua, ZHAN Yan, et al(阮 佳，胡建华，詹 雁，等). West China Journal of Pharmaceutical Sciences(华西药学杂志), 2008, 23(3): 3324.
[5] CUI Han-ming, ZHANG Chun-guang, LIN Hai, et al(崔翰明，张春光，林 海，等). Journal of Chinese Medicinal Materials(中药材)，2009, 32(12): 1810.
[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] Sun Suqin, Zhou Qun, Chen Jianbo. Infrared Spectroscopy for Complex Mixtures-Applications in Food and Traditional Chinese Medicine. Beijing: Chemical Industry Press, 2011.
[8] SUN Su-qin, ZHOU Qun, QIN Zhu (孙素琴,周 群, 秦 竹). Atlas of Two-dimensional Correlation Infrared Spectroscopy for Traditional Chinese Medicine Identification(中药二维相关红外光谱鉴定图集). Beijing: Chemical Industry Press(北京：化学工业出版社), 2003.
[9] Sun Suqin, Chen Jianbo, Zhou Qun, et al. Planta Medica, 2010, 76: 1987.
[10] Xu Changhua, Liu Suli, Zhao Shengnan, et al. Planta Medica, 2013, 79: 1068.
[11] JIN Hang, CUI Xiu-ming, XU Luo-shan, et al(金 航，崔秀明，徐珞珊，等). Journal of Yunnan University(云南大学学报), 2006, 28(2): 144.
[12] YANG Chun-shu(杨春澍). Pharmaceutical Botany(药用植物学). Shanghai: Shanghai Science and Technology Press(上海：上海科学技术出版社), 2009. |
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