Establishment of infrared fingerprints and multivariate statistical analysis of Achyranthes bidentata
- VernacularTitle:牛膝药材的红外指纹图谱建立及多元统计分析
- Author:
Hao JIA
1
;
Yiming LEI
2
;
Weifang ZHANG
1
;
Jingwei LEI
1
;
Chunjing YANG
3
;
Yingying LI
1
;
Caixia XIE
4
Author Information
1. School of Pharmacy，Henan University of Chinese Medicine，Zhengzhou 450046，China;Henan Provincial Engineering Technology Research Center for TCM Quality Control and Evaluation，Zhengzhou 450046，China
2. College of Orthopedics and Traumatology，Henan University of Chinese Medicine，Zhengzhou 450046，China
3. Henan Provincial Engineering Technology Research Center for TCM Quality Control and Evaluation，Zhengzhou 450046，China;Section of Clinical Pharmacy，Pharmacy Department，the Third Affiliated Hospital of Henan University of Chinese Medicin e，Zhengzhou 450046，China
4. School of Pharmacy，Henan University of Chinese Medicine，Zhengzhou 450046，China
- Publication Type:Journal Article
- Keywords:
Achyranthes bidentata;
infrared fingerprint;
normal distribution analysis;
cluster analysis;
principal component
- From:
China Pharmacy
2022;33(2):153-159
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE To establish the infrared fingerprints of Achyranthes bidentata from different producing areas ，and to conduct multivariate statistical analysis. METHODS The infrared fingerprints of 61 batches of A. bidentata samples were established by Spectrum for Window 3.02 and OMNIC 9.2 software. Taking the relative peak height of common peaks of infrared fingerprint as the variable ，the normal distribution analysis was carried out by Excel 2016 software；SPSS 22.0 software was used for cluster analysis and principal component analysis ，and the comprehensive score was calculated ；the orthogonal partial least squares-discriminant analysis was carried out by SIMCA 14.1 software，and the marker wave numbers affecting the quality of A. bidentata were screened by taking the variable importance in projection （VIP）＞1 as the standard. RESULTS The correlation coefficients of infrared spectra of 61 batches of A. bidentata samples were 0.967 2-0.997 7；there were 13 common peaks. The results of normal distribution analysis showed that the normal distribution curve of relative peak height of common peaks for A. bidentata from Henan and Hebei did not cross ，and the normal distribution curve of A. bidentata from Henan and Inner Mongolia crossed. The results of cluster analysis showed that when the distance between groups was 15，61 batches of A. bidentata samples could be clustered into 3 categories，including N 1-N12 were clustered into one category ，N13-N45 were clustered into one category，and N 46-N61 were clustered into one category. The results of principal component analysis showed that the cumulative variance contribution rate of the first three principal components was 91.121％；comprehensive score of qq.com A. bidentata （number N 40） in Jiabu village ，Jiaozuo City ， Henan Province was the highest （2.39）， and that of A.bidentata（number N 4）in Xin ’an village ，Anguo City ，Hebei Province was the lowest （－2.89）. The results of orthogonal 163.com partial least squares-discriminant analysis showed that 61 batches of A. bidentata samples were divided into three categories ，including N 1-N12 were clustered into one category ，N13-N28 were clustered into one category and N 29-N61 were clustered into one category. Seven marker wave numbers affecting the quality were selected. The corresponding wave numbers of VIP from large to small were 1 059，927，2 933，813，1 732，1 128 and 3 367 cm－1，1 732 cm－1 was the characteristic obsorption peak of saponins ，1 059，1 128，927 cm－1 were the characteristic obsorption peaks of glycosides. CONCLUSIONS Infrared fingerprint combined with normal distribution analysis ，cluster analysis ，principal component analysis and orthogonal partial least squares-discriminant analysis can be used to identify A. bidentata from different producing areas.
