光谱学与光谱分析 |
|
|
|
|
|
Quality Control of Corydalis Yanhusuo W. T. Wang by Second Derivative FTIR Spectroscopy Combined with Statistics |
CHENG Cun-gui,YING Tao-kai |
College of Chemistry and Life Science, Zhejiang Normal University,Jinhua 321004,China |
|
|
Abstract A new method using single reflection Fourier transform infrared spectroscopy was proposed for direct and fast determination of Corydalis yanhusuo W. T. Wang of traditional Chinese herbal medicines and its confusable varieties. Data were collected directly for Fourier transform infrared spectra with OMNI sampler. Then through converting FTIR spectra of the samples into second derivative spectra by derivative spectra software, it is possible to identify Corydalis yanhusuo W. T. Wang from the confusable varieties with statistics. The result shows that the second derivative FTIR of Corydalis yanhusuo W. T. Wang and its confusable varieties are different in the 2 050-650 cm-1 range. The probability is less than 0.01 and the result is significant. Corydalis yanhusuo W. T. Wang and its confusable varieties can be identified by identifying the inner layer parts of the cuticles of samples by second derivative FTIR spectroscopy with statistics directly, rapidly and accurately.
|
Received: 2003-08-16
Accepted: 2003-12-26
|
|
Corresponding Authors:
CHENG Cun-gui
|
|
Cite this article: |
CHENG Cun-gui,YING Tao-kai. Quality Control of Corydalis Yanhusuo W. T. Wang by Second Derivative FTIR Spectroscopy Combined with Statistics [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2005, 25(01): 36-38.
|
|
|
|
URL: |
https://www.gpxygpfx.com/EN/Y2005/V25/I01/36 |
[1] National Institute for the Control of Pharmaceutical and Biological Products, State Drug Administrate, P. R. China; Guangdong Provincial Institute for Drug Control(中国药品生物制品检定所,广东省药品检定所). Photo Album for Traditional Chinese Herbal Medicines and Their Confusabe Varieties Identification(中国中药材真伪鉴别图典Ⅱ). Guangzhou: Guangdong Science and Technology Press(广州:广东科技出版社),1997. 110. [2] CAO Gu-zhen, NI Ping(曹谷珍,倪 萍). Chinese Traditional and Herbal Drugs(中草药),1997,28(10):626. [3] ZHANG Ji-qing, YOU Qing-hu,HU Yan-ni(张继庆,尤庆虎,胡燕妮). Chinese Traditional and Herbal Drugs(中草药),2000,31(9):709. [4] CHENG Cun-gui(程存归). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2003,23(2):282 [5] WANG Zhao, SUN Su-qin, LI Xiao-bo,ZHOU Qun, LIN Lin, DU De-guo(王 钊,孙素琴,李晓波, 周 群,林 琳,杜德国). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2001,21(3):311. [6] CHENG Cun-gui, GUO Shui-liang, CHEN Jian-hua(程存归,郭水良,陈建华). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2002,22(6):954.
|
[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] |
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. |
[3] |
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. |
[4] |
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. |
[5] |
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. |
[6] |
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. |
[7] |
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. |
[8] |
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. |
[9] |
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. |
[10] |
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. |
[11] |
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. |
[12] |
KONG De-ming1, CUI Yao-yao2, 3, ZHONG Mei-yu2, MA Qin-yong2, KONG Ling-fu2. Study on Identification Seawater Submersible Oil Based on Total
Synchronous Fluorescence Spectroscopy Combined With
High-Order Tensor Feature Extraction Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 62-69. |
[13] |
WANG Zhi-xin, WANG Hui-hui, ZHANG Wen-bo, WANG Zhong, LI Yue-e*. Classification and Recognition of Lilies Based on Raman Spectroscopy and Machine Learning[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 183-189. |
[14] |
YAN Wen-hao1, YANG Xiao-ying1, GENG Xin1, WANG Le-shan1, LÜ Liang1, TIAN Ye1*, LI Ying1, LIN Hong2. Rapid Identification of Fish Products Using Handheld Laser Induced Breakdown Spectroscopy Combined With Random Forest[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(12): 3714-3718. |
[15] |
WU Bin1, SHEN Jia-qi2, WANG Xin2, WU Xiao-hong3, HOU Xiao-lei2. NIR Spectral Classification of Lettuce Using Principal Component
Analysis Sort and Fuzzy Linear Discriminant Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(10): 3079-3083. |
|
|
|
|