|
|
|
|
|
|
| Determination of Osthole and Columbianadin in Angelicae Pubescentis Radix with Near Infrared Spectroscopy |
| ZHAN Hao, FANG Jing, YANG Bin*, FU Mei-hong*, LIU Meng-ting, LI Hua, WANG Zhu-ju, TANG Li-ying, WU Hong-wei, YANG Lan, ZHANG Dong |
| Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences，Beijing 100700，China |
|
|
|
|
Abstract Near infrared spectroscop is applied to establish a rapid detection method of osthole and columbianadin in Angelicae pubescentis Radix. Near infrared spectroscopy (NIR) has become a new analytical technique for quantitative analysis of Chinese medicinal materials because of its rapid analysis speed and no need for sample pretreatment. 97 batches of samples are collected from different regions with the determination of samples with high performance liquid chromatography (HPLC) and NIR. Due to subtle difference between the spectra, it needs to preprocess by comparing the results of different pretreatment methods to select the optimal model parameters. The results showed that the pretreatment method for the first derivative, osthole in performance optimization model, the determination coefficients was 0.941 3 while the root mean square prediction (RMSEP) was 0.141; determination coefficients of calibration set was 0.923 3, and the root mean square error of calibration (RMSEC) was 0.163. Without pretreatment of columbianadin model in optimal performance, the determination coefficients was 0.857 4 and the root mean square prediction was 0.103; when the determination coefficients of calibration set was 0.831 5, and the root mean square error of calibration was 0.112. Studies have shown that the near infrared spectroscopy combined with partial least squares method is simple, rapid, efficient and nondestructive which can achieve the goal in terms of quantitative analysis for quality control of medicines research with osthole and columbianadin in Angelicae Pubescentis Radix. At the same time a new method for the development of near infrared spectroscopy technology of traditional real-time analysis is proposed, it also has great significance to guarantee the stability of Chinese medicinal materials quality control.
|
|
Received: 2015-11-07
Accepted: 2016-04-29
|
|
|
|
Corresponding Authors:
YANG Bin, FU Mei-hong
E-mail: ybinmm@126.com；fu00126@sina.com
|
|
[1] GAO Xue-min(高学敏). Pharmacy(中药学). Beijing: China Traditional Medicine Press(北京：中国中医药出版社), 2007: 171.
[2] ZHOU Gang, MA Bao-hua(周 刚, 马宝花). Contemporary Chinese medicine(中国当代医药)，2012, 16: 15.
[3] CAO Ai-min，FANG Xiao-ming，MENG Xian-sheng，et al(曹爱民, 方晓明, 孟宪生，等). Liaoning Chemical Industry(辽宁化工), 2006, 12: 738.
[4] ZHOU Yan, JIN Pei-fen, ZHAO Yu-tong(周 燕，金佩芬，赵宇烔). Chinese Journal of Modern Applied Pharmacy(中国现代应用药学), 2013, 08: 863.
[5] YUAN Xin(袁 欣). Strait Pharmaceutical Journal(海峡药学)，2013, 06: 13.
[6] China Pharmacopoeia Commission(国家药典委员会). Pharmacopoeia of the People’s Republic of China(Vol.1)(中华人民共和国药典，1部). Beijing：Chemical Industry Press(北京：化学工业出版社), 2015. 263.
[7] CHU Xiao-li(褚小立). Molecular Spectroscopy Analytical Technology Combined with Chemometrics and Its Applications(化学计量学方法与分子光谱分析技术). Beijing：Chemical Industry Press(北京：化学工业出版社)，2011.77. |
| [1] |
WANG Wen-xiu, PENG Yan-kun*, FANG Xiao-qian, BU Xiao-pu. Characteristic Variables Optimization for TVB-N in Pork Based on Two-Dimensional Correlation Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(07): 2094-2100. |
| [2] |
LE Ba Tuan1, 3, XIAO Dong1*, MAO Ya-chun2, SONG Liang2, HE Da-kuo1, LIU Shan-jun2. Coal Classification Based on Visible, Near-Infrared Spectroscopy and CNN-ELM Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(07): 2107-2112. |
| [3] |
LIU Jin, LUAN Xiao-li*, LIU Fei. Near Infrared Spectroscopic Modelling of Sodium Content in Oil Sands Based on Lasso Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(07): 2274-2278. |
| [4] |
YU Hui-ling1, MEN Hong-sheng2, LIANG Hao2, ZHANG Yi-zhuo2*. Near Infrared Spectroscopy Identification Method of Wood Surface Defects Based on SA-PBT-SVM[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(06): 1724-1728. |
| [5] |
XU Wei-jie1, WU Zhong-chen1, 2*, ZHU Xiang-ping2, ZHANG Jiang1, LING Zong-cheng1, NI Yu-heng1, GUO Kai-chen1. Classification and Discrimination of Martian-Related Minerals Using Spectral Fusion Methods[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(06): 1926-1932. |
| [6] |
LI Ying1, LI Yao-xiang1*, LI Wen-bin2, JIANG Li-chun3. Model Optimization of Wood Property and Quality Tracing Based on Wavelet Transform and NIR Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(05): 1384-1392. |
| [7] |
DU Jian1, 2, HU Bing-liang1*, LIU Yong-zheng1, WEI Cui-yu1, ZHANG Geng1, TANG Xing-jia1. Study on Quality Identification of Macadamia nut Based on Convolutional Neural Networks and Spectral Features[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(05): 1514-1519. |
| [8] |
HAN Guang, LIU Rong*, XU Ke-xin. Extraction of Effective Signal in Non-Invasive Blood Glucose Sensing with Near-Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(05): 1599-1604. |
| [9] |
WANG Li-shuang, ZHANG Wen-bo*, TONG Li. Studies on Dimensional Stability of Wood under Different Moisture Conditions by Near Infrared Spectroscopy Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(04): 1066-1069. |
| [10] |
HUANG Hua1, WU Xi-yu2, ZHU Shi-ping1*. Feature Wavelength Selection and Efficiency Analysis for Paddy Moisture Content Prediction by Near Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(04): 1070-1075. |
| [11] |
LI Hao-guang1,2, YU Yun-hua1,2, PANG Yan1, SHEN Xue-feng1,2. Study of Maize Haploid Identification Based on Oil Content Detection with Near Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(04): 1089-1094. |
| [12] |
PENG Cheng1, FENG Xu-ping2*, HE Yong2, ZHANG Chu2, ZHAO Yi-ying2, XU Jun-feng1. Discrimination of Transgenic Maize Containing the Cry1Ab/Cry2Aj and G10evo Genes Using Near Infrared Spectroscopy (NIR)[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(04): 1095-1100. |
| [13] |
LI Shuang-fang1,2, GUO Yu-bao1*, SUN Yan-hui2, GU Hai-yang2. Rapid Identification of Sunflower Seed Oil Quality by Three-Dimensional Synchronous Fluorescence Spectrometry[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(04): 1165-1170. |
| [14] |
XIA Ji-an1, YANG Yu-wang1*, CAO Hong-xin2, HAN Chen1, GE Dao-kuo2, ZHANG Wen-yu2. Classification of Broad Bean Pest of Visible-Near Infrared Spectroscopy Based on Cloud Computing[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(03): 756-760. |
| [15] |
MAO Ya-chun, WANG Dong, WANG Yue, LIU Shan-jun*. A FeO/TFe Determination Method of BIF Based on the Visible and Near-Infrared Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(03): 765-770. |
|
|
|
|
