| 光谱学与光谱分析 |
|
|
|
|
|
| FTIR and 2D-IR Spectroscopic Studies on Different Sources of Herbra Cistanche |
| XU Rong1, SUN Su-qin2, LIU You-gang3, CHEN Jun2*, LIU Tong-ning4, CHEN Shi-lin1 |
1. The Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences and Peking Union Medical College, National Engineering Laboratory for Breedng of Endangered Medicinal Materials, Beijing 100193, China
2. Department of Chemistry, Tsinghua University, Beijing 100084, China
3. Tianjin University of Traditional Chinese Medicine, Tianjin 300193, China
4. Yongning Plantation of Hebra Cistanche, Yinchuan 750010, China |
|
|
|
|
Abstract In the present paper, Fourier transform infrared spectroscopy (FTIR) associated with second derivative infrared spectroscopy and two-dimensional correlation spectroscopy (2D-IR) were used to analyze the 3 different sources of Hebra cistanche. The results showed that these IR spectra showed their different macro-fingerprint features: the charactersistic peaks of C. deserticola were located at ~1 730, 1 633, 1 156, 1 081, 1 025 and 931 cm-1 and those of C. tubulosa were at 1 692, 1 631, 1 604, 1 516, 1 265 and 1 023 cm-1, respectively. The only two peaks at ~1 151 and 1 085 cm-1 of C. salsa were different from that of C. deserticola. As a result, the IR spectrum of C. deserticola could be identified obviously from that of the C. tubulosa, whose similar index was only 0.623 3, but it was very similar to that of C. salsa, whose similar index was up to 0.904 8, demonstrating very similar ingredients. However, the difference between C. deserticola and C. salsa was obvious in the second derivative IR spectra: the shape of the two peaks of C. deserticola at ~1 730 and 816 cm-1 were much sharper. In addition, the fingerprint characters in 2D-IR spectra were more visualized. The three kinds of herbs were quite different from each other in the number and intensity of autopeaks. Therefore, FTIR macro-fingerprint method can identify different sources of Hebra cistance fast, nondestructively and effectively.
|
|
Received: 2009-03-12
Accepted: 2009-06-16
|
|
|
|
Corresponding Authors:
CHEN Jun
E-mail: junzichen63@yahoo.com.cn; jchen@implad.ac.cn
|
|
[1] TU Peng-fei, HE Yan-ping, LOU Zhi-cen(屠鹏飞，何燕萍，娄之岑). China Journal of Chinese Materia Medica (中国中药杂志), 1994, 19(1): 3.
[2] Pharmacopoeia Commission of Ministry of Health, the People’s Republic of China(中华人民共和国卫生部药典委员会编). Pharmacopoeia of the People’s Republic of China (中华人民共和国药典). Beijing: Chemical Industry Press(北京: 化学工业出版社), 2000. 103.
[3] The Endangered Species Import & Export Management Office of the People’s Republic of China, Endangered Species Scientific Commission PRC(中华人民共和国濒危物种进出口管理办公室, 中华人民共和国濒危物种科学委员会). Convention on International Trade in Endangered Species(CITES)(濒危野生动植物种国际贸易公约): Appendix Ⅱ, 2003. 41.
[4] Pharmacopoeia Commission of Ministry of Health, the People’s Republic of China(中华人民共和国卫生部药典委员会编). Pharmacopoeia of the People’s Republic of China(中华人民共和国药典). Beijing: Chemical Industry Press(北京: 化学工业出版社), 2005. 90.
[5] LI Jun-song，YAO Zhong-qing，YU Ming-xia(李俊松，姚仲青，俞明霞). Lishizhen Medicine and Materia Medica Reasearch(时珍国医国药), 2000, 11(4): 34.
[6] ZHANG Mian，FU Xiao-li，WANG Sheng-yong(张 勉，付晓丽，王胜勇). Journal of Chinese Medical Materials(中药材), 2004, 27(6): 401.
[7] CHEN Pei，GUO Yu-hai，WANG Bao-min，et al(陈 培，郭玉海，王保民，等). Chinese Traditional and Herbal Drugs(中草药), 2006, 37(9): 1399.
[8] SUN Su-qin, LIU Jun, ZHOU Qun(孙素琴，刘 军，周 群). Chinese J. Anal. Chem.(分析化学), 2002, 30(2): 140.
[9] LIU Gang, TAN Li-ping, DONG Qin(刘 刚，谭丽萍，董 勤). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2008, 28(1): 80.
[10] Noda I. Appl. Spectrosc.，2000，54: 994.
[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. 1, 193.
[12] XIE Jing-xing, CHANG Jun-biao, WANG Xu-ming(谢晶曦，常俊标，王绪明). Applications of IR Spectra in Organic Chemistry and Pharmaceutical Chemistry(红外光谱在有机化学和药物化学中的应用). Beijing: Science Press(北京：科学出版社), 2001.
|
| [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] |
YANG Ke-li1, 2, PENG Jiao-yu1, 2, DONG Ya-ping1, 2*, LIU Xin1, 2, LI Wu1, 3, LIU Hai-ning1, 3. Spectroscopic Characterization of Dissolved Organic Matter Isolated From Solar Pond[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3775-3780. |
| [4] |
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. |
| [5] |
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. |
| [6] |
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. |
| [7] |
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. |
| [8] |
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. |
| [9] |
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. |
| [10] |
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. |
| [11] |
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. |
| [12] |
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. |
| [13] |
LI Chen-xi1, SUN Ze-yu1, 2, ZHAO Yu2*, YIN Li-hui2, CHEN Wen-liang1, 3, LIU Rong1, 3, XU Ke-xin1, 3. The Research Progress of Two-Dimensional Correlation Spectroscopy and Its Application in Protein Substances Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 1993-2001. |
| [14] |
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. |
| [15] |
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. |
|
|
|
|
