| 光谱学与光谱分析 |
|
|
|
|
|
| Discrimination of Adulterated Traditional Chinese Medicines by Infrared Spectroscopy-Two Dimensional Correlation Analysis |
| LI Shu1,LE Jian2,CHEN Gui-liang2,CHAI Yi-feng1,LU Feng1* |
1. School of Pharmacy, Second Military Medical University, Shanghai 200433, China
2. Shanghai Institute for Drug Control, Shanghai 200233, China |
|
|
|
|
Abstract A new method was established, based on infrared spectroscopy-two dimensional (2D) correlation analysis, for the discriminative analysis of adulteration in traditional Chinese medicines (TCM). Fenfluramine hydrochloride (FH) and sibutramine hydrochloride (SH) were taken as examples of synthetic drugs (adulterant), and the correlative peaks of their synchronous 2D correlation spectra were found. Then the characteristics of the synchronous 2D correlation spectrum of the suspected TCM were compared with those of FH. Since the correlative peaks in the synchronous spectrum of the suspected TCM coincide well with those of FH, a positive conclusion could be drawn after further investigation of the asynchronous spectra of TCM, which could provide the information about the source of correlative peaks. On the contrary, the dissimilarity of the synchronous spectra of SH and TCM directly implies that the suspected TCM is not adulterated with SH. The method can be used for a correct discrimination on whether the TCM is adulterated with the synthetic drugs, it does not rely on sample separation, and provides a new simple and cost-effective alternative to test the adulteration of TCM.
|
|
Received: 2006-08-16
Accepted: 2006-11-16
|
|
|
|
Corresponding Authors:
LU Feng
E-mail: fenglufeng@hotmail.com
|
|
| Cite this article: |
|
LI Shu,LE Jian,CHEN Gui-liang, et al. Discrimination of Adulterated Traditional Chinese Medicines by Infrared Spectroscopy-Two Dimensional Correlation Analysis [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2007, 27(11): 2212-2215.
|
|
|
|
| URL: |
|
https://www.gpxygpfx.com/EN/Y2007/V27/I11/2212 |
[1] Huang W F, Wen K C, Hsiao M L. J. Clin. Pharmacol., 1997, 37: 344.
[2] Richard J K. New Engl. J. Med., 1998, 339(12): 847.
[3] Cockburn R, Newton P N, Agyarko E K, et al. Plos Medicine, 2005, 2(4): 302.
[4] Liu S Y, Woo S O, Michael J, et al. J. Pharm. Biomed Anal., 2000, 22(3): 481.
[5] FENG Jia-li, PAN Zheng-qiu, CAO Hua-juan, et al(冯家力，潘振球，曹华娟，等). Chinese Journal of Chromatography(色谱)，2004，22(3)：228.
[6] Ku Y R, Chag L Y, Ho L K, et al. J. Biomed. Anal., 2003, 33(2): 329.
[7] Noda I. Appl. Spectrosc., 1990, 44(4): 550.
[8] Zimmermann B, Baranovic G. Vibrational Spectrosc., 2006, 41(1): 126.
[9] SUN Su-qin, ZHOU Qun, LIU Jun, et al(孙素琴，周 群，刘 军，等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2004, 24(4): 427.
[10] LIU Shu-hua, ZHANG Xue-gong, ZHOU Qun, et al(刘沭华, 张学工，周 群，等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2006, 26(4): 629.
|
| [1] |
HU Cai-ping1, HE Cheng-yu2, KONG Li-wei3, ZHU You-you3*, WU Bin4, ZHOU Hao-xiang3, SUN Jun2. Identification of Tea Based on Near-Infrared Spectra and Fuzzy Linear Discriminant QR Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3802-3805. |
| [2] |
LUO Li, WANG Jing-yi, XU Zhao-jun, NA Bin*. Geographic Origin Discrimination of Wood Using NIR Spectroscopy
Combined With Machine Learning Techniques[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3372-3379. |
| [3] |
JIA Hao1, 3, 4, ZHANG Wei-fang1, 3, LEI Jing-wei1, 3*, LI Ying-ying1, 3, YANG Chun-jing2, 3*, XIE Cai-xia1, 3, GONG Hai-yan1, 3, DING Xin-yu1, YAO Tian-yi1. Study on Infrared Fingerprint of the Classical Famous
Prescription Yiguanjian[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3202-3210. |
| [4] |
CHEN Wan-jun1, XU Yuan-jie2, LU Zhi-yun3, QI Jin-hua3, WANG Yi-zhi1*. Discriminating Leaf Litters of Six Dominant Tree Species in the Mts. Ailaoshan Based on Near-Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2119-2123. |
| [5] |
HAN Xiao-long1, LIN Jia-sheng2, LI Jian-feng2*. SERS Analysis of Urine for Rapid Estimation of Human Energy Intake[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(02): 489-494. |
| [6] |
LI Xiao1, CHEN Yong2, MEI Wu-jun3*, WU Xiao-hong2*, FENG Ya-jie1, WU Bin4. Classification of Tea Varieties Using Fuzzy Covariance Learning
Vector Quantization[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(02): 638-643. |
| [7] |
GUO Xiao-hua1, ZHAO Peng1, WU Ya-qing1, TANG Xue-ping3, GENG Di2*, WENG Lian-jin2*. Application of XRF and ICP-MS in Elements Content Determinations of Tieguanyin of Anxi and Hua’an County, Fujian Province[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(10): 3124-3129. |
| [8] |
HUANG Hua1, NAN Meng-di1, LI Zheng-hao1, CHEN Qiu-ying1, LI Ting-jie1, GUO Jun-xian2*. Multi-Model Fusion Based on Fractional Differential Preprocessing and PCA-SRDA for the Origin Traceability of Red Fuji Apples[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(10): 3249-3255. |
| [9] |
HONG Zi-yun1, 2, YAN Cheng-lin2, MIN Hong2, XING Yan-jun1*, LI Chen2, LIU Shu2*. Research on Coal Species Identification Based on Near-Infrared
Spectroscopy and Discriminant Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(09): 2800-2806. |
| [10] |
DAI Lu-lu1, YANG Ming-xing1, 2*, WEN Hui-lin1. Study on Chemical Compositions and Origin Discriminations of Hetian Yu From Maxianshan, Gansu Province[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(05): 1451-1458. |
| [11] |
TAN Yang1, WU Xiao-hong2, 3*, WU Bin4, SHEN Yan-jun1, LIU Jin-mao1. Qualitative Analysis of Pesticide Residues on Chinese Cabbage Based on GK Improved Possibilistic C-Means Clustering[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(05): 1465-1470. |
| [12] |
LI Jia-yi1, YU Mei1, LI Mai-quan1, ZHENG Yu2*, LI Pao1, 3*. Nondestructive Identification of Different Chrysanthemum Varieties Based on Near-Infrared Spectroscopy and Pattern Recognition Methods[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(04): 1129-1133. |
| [13] |
SUN Xue-hui1, ZHAO Bing2, LUO Zhen2, SUN Pei-jian1, PENG Bin1, NIE Cong1*, SHAO Xue-guang3*. Design and Application of the Discrimination Filter for Near-Infrared Spectroscopic Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(02): 399-404. |
| [14] |
CHEN Feng-xia1, YANG Tian-wei2, LI Jie-qing1, LIU Hong-gao3, FAN Mao-pan1*, WANG Yuan-zhong4*. Identification of Boletus Species Based on Discriminant Analysis of Partial Least Squares and Random Forest Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(02): 549-554. |
| [15] |
ZHONG Yuan, QU Meng-wen, Andy Hsitien Shen*. Comparison of Chemical Composition and Spectroscopy of Purple- Brownish Red Garnet From Zambia, Tanzania and Australia[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(01): 184-190. |
|
|
|
|
