| 光谱学与光谱分析 |
|
|
|
|
|
| Study on the Identification of Some Species of Herba Epimedii with FTIR |
| PEI Li-kuan1,GUO Bao-lin1,SUN Su-qin2*, HUANG Wen-hua1 |
1. Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing100094, China
2. Key Laboratory of Bioorganic Phosphorus Chemistry & Chemical Biology (Ministry of Education), Department of Chemistry,Tsinghua University, Beijing 100084, China |
|
|
|
|
Abstract Herba Epimedii, the dried aerial parts of Epimedium brevicornum Maxim., E.sagittatum Maxim., E.pubescens Maxim., E. wushanense T.S. Ying., and E. koreanum Nakai, has been widely used in the field of nourishing the kidney and reinforcing ‘Yang’ for centuries. The descriptions of external appearance of Herba Epimedii are rather simple, so it is difficult to identify the raw materials of Herba Epimedii only with the traditional methods. In the present paper, the methods of FTIR and the second derivative IR spectra were used for the identification of Herba Epimedii, by which, E. brevicornum Maxim. could be identified from E.koreanum Nakai,and so E.sagittatum (Sieb. et Zucc.) Maxim.from E.acuminatum Franch., as well as E.pubescens Maxim.from E.stellulatum Stearn，E.baojingensis Q.L.Chen et B.M.Yang，E.zhushanense K.F.Wu & S.X.Qian and E. myrianthum Stearn. According to the features of the IR spectra of each species, a method based on FTIR for the identification of Herba Epimedii was established, and it conduced to solve the confusion of species of Herba Epimedii.
|
|
Received: 2006-05-10
Accepted: 2006-08-20
|
|
|
|
Corresponding Authors:
SUN Su-qin
E-mail: sunsq@chem.tsinghua.edu.cn
|
|
[1] The Pharmacopoeia Commission of the People’s Republic of China(国家药典委员会编). Chinese Pharmacopoeia(中华人民共和国药典). Vol Ⅰ. Beijing: Chemical Industrial Publishing House(北京: 化学工业出版社),2005. 229.
[2] XU Guo-jun, XU Luo-shan, WANG Zheng-tao(徐国钧，徐珞珊，王峥涛). Species Systematization and Quality Evaluation of Commonly Used Chinese Traditional Drugs(常用中药材品种整理和质量研究). Vol 1. Fuzhou：Fujian Science & Technology Publishing House(福州：福建科学技术出版社)，1994. 745.
[3] GUO Bao-lin, XIAO Pei-gen(郭宝林，肖培根). China Journal of Chinese Materia Medica(中国中药杂志),2003，28(4)：303.
[4] SUN Su-qin, ZHOU Qun, YU Jian-yuan, et al(孙素琴, 周 群, 郁鉴源, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2000,20(2): 199.
[5] WANG Zhao, SUN Su-qin, LI Xiao-bo, et al(王 钊, 孙素琴，李晓波, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2001,21(3): 311.
[6] SUN Su-qin, DU De-guo, LIANG Xi-yun(孙素琴, 杜德国, 梁曦云). Chinese Journal of Analytical Chemistry(分析化学)，2001,29(3): 309.
[7] SUN Su-qin, WANG Xing-qu, LIANG Xi-yun, et al(孙素琴, 王兴渠, 梁曦云, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析)，2001,21(6): 787.
[8] XU Yong-qun, SUN Su-qin, YUAN Zi-min, et al(徐永群, 孙素琴，袁子民, 等). Chinese Journal of Analytical Chemistry(分析化学)，2002, 30(10): 1231.
[9] DONG Bin, SUN Su-qin, ZHOU Hong-tao, et al(董 彬, 孙素琴, 周红涛, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析)，2002,22(2): 232.
[10] XU Yong-qun, SUN Su-qin, FENG Xue-feng, et al(徐永群，孙素琴，冯学峰 ，等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2003,23(3): 502.
[11] 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.
[12] HUA Rui, SUN Su-qin, ZHOU Qun, et al. Journal of Pharmaceutical and Biomedical Analysis，2003, 33: 199.
[13] LI Ying-ming, SUN Su-qin, ZHOU Qun, et al. Vibrational Spectroscopy，2004, 36: 227.
[14] LIU Hong-xia, SUN Su-qin, L Guang-hua, et al. Spectrochimica Acta Part A.，2005, 64: 321. |
| [1] |
GAO Feng1, 2, XING Ya-ge3, 4, LUO Hua-ping1, 2, ZHANG Yuan-hua3, 4, GUO Ling3, 4*. Nondestructive Identification of Apricot Varieties Based on Visible/Near Infrared Spectroscopy and Chemometrics Methods[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 44-51. |
| [2] |
GUO Ya-fei1, CAO Qiang1, YE Lei-lei1, ZHANG Cheng-yuan1, KOU Ren-bo1, WANG Jun-mei1, GUO Mei1, 2*. Double Index Sequence Analysis of FTIR and Anti-Inflammatory Spectrum Effect Relationship of Rheum Tanguticum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 188-196. |
| [3] |
SHEN Ying, WU Pan, HUANG Feng*, GUO Cui-xia. Identification of Species and Concentration Measurement of Microalgae Based on Hyperspectral Imaging[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3629-3636. |
| [4] |
SUN Cheng-yu1, JIAO Long1*, YAN Na-ying1, YAN Chun-hua1, QU Le2, ZHANG Sheng-rui3, MA Ling1. Identification of Salvia Miltiorrhiza From Different Origins by Laser
Induced Breakdown Spectroscopy Combined with Artificial Neural
Network[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3098-3104. |
| [5] |
ZHAO Ling-yi1, 2, YANG Xi3, WEI Yi4, YANG Rui-qin1, 2*, ZHAO Qian4, ZHANG Hong-wen4, CAI Wei-ping4. SERS Detection and Efficient Identification of Heroin and Its Metabolites Based on Au/SiO2 Composite Nanosphere Array[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3150-3157. |
| [6] |
TIAN Ze-qi1, WANG Zhi-yong1, YAO Jian-guo1, GUO Xu1, LI Hong-dou1, GUO Wen-mu1, SHI Zhi-xiang2, ZHAO Cun-liang1, LIU Bang-jun1*. Quantitative FTIR Characterization of Chemical Structures of Highly Metamorphic Coals in a Magma Contact Zone[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2747-2754. |
| [7] |
LUAN Xin-xin1, ZHAI Chen2, AN Huan-jiong3, QIAN Cheng-jing2, SHI Xiao-mei2, WANG Wen-xiu3, HU Li-ming1*. Applications of Molecular Spectral Information Fusion to Distinguish the Rice From Different Growing Regions[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2818-2824. |
| [8] |
ZHANG Fu1, 2, WANG Xin-yue1, CUI Xia-hua1, YU Huang1, CAO Wei-hua1, ZHANG Ya-kun1, XIONG Ying3, FU San-ling4*. Identification of Maize Varieties by Hyperspectral Combined With Extreme Learning Machine[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2928-2934. |
| [9] |
ZHANG Xiao-xu1, LIN Xiao-xian3, ZHANG Dan2, ZHANG Qi1, YIN Xue-feng2, YIN Jia-lu3, 4, ZHANG Wei-yue4, LI Yi-xuan1, WANG Dong-liang3, 4*, SUN Ya-nan1*. Study on the Analysis of the Relationship Between Functional Factors and Intestinal Flora in Freshly Stewed Bird's Nest Based on Fourier Transform Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2452-2457. |
| [10] |
JIN Cheng-liang1, WANG Yong-jun2*, HUANG He2, LIU Jun-min3. Application of High-Dimensional Infrared Spectral Data Preprocessing in the Origin Identification of Traditional Chinese Medicinal Materials[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2238-2245. |
| [11] |
WANG Yu-hao1, 2, LIU Jian-guo1, 2, XU Liang2*, DENG Ya-song2, SHEN Xian-chun2, SUN Yong-feng2, XU Han-yang2. Application of Principal Component Analysis in Processing of Time-Resolved Infrared Spectra of Greenhouse Gases[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2313-2318. |
| [12] |
ZHAO Yu-wen1, ZHANG Ze-shuai1, ZHU Xiao-ying1, WANG Hai-xia1, 2*, LI Zheng1, 2, LU Hong-wei3, XI Meng3. Application Strategies of Surface-Enhanced Raman Spectroscopy in Simultaneous Detection of Multiple Pathogens[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2012-2018. |
| [13] |
HU Hui-qiang1, WEI Yun-peng1, XU Hua-xing1, ZHANG Lei2, MAO Xiao-bo1*, ZHAO Yun-ping2*. Identification of the Age of Puerariae Thomsonii Radix Based on Hyperspectral Imaging and Principal Component Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(06): 1953-1960. |
| [14] |
LI Yuan-jing1, 2, CHEN Cai-yun-fei1, 2, LI Li-ping1, 2*. Spectroscopy Study of γ-Ray Irradiated Gray Akoya Pearls[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1056-1062. |
| [15] |
WU Mu-lan1, SONG Xiao-xiao1*, CUI Wu-wei1, 2, YIN Jun-yi1. The Identification of Peas (Pisum sativum L.) From Nanyang Based on Near-Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1095-1102. |
|
|
|
|
