Quantitative Analysis of Index Components in Glycyrrhizae Radix et Khizoma by Near Infrared Spectroscopy Based on R Software
10.13422/j.cnki.syfjx.20190916
- VernacularTitle: 基于R语言的近红外光谱对甘草中指标成分定量分析
- Author:
Jing-jiao YONG
1
;
Xia WANG
2
;
Si-jia SHI
3
;
Kui-shen WEN
1
;
Yue TONG
1
;
Xia ZHANG
1
;
Jian-jun ZHAO
1
;
Jian-huan WANG
1
;
Xiao-juan GAO
1
;
Han-qing WANG
1
Author Information
1. College of Pharmacy, Ningxia Medical University, Yinchuan 750004, China
2. The Second People's Hospital of Yinchuan, Yinchuan 750004, China
3. Beijing Dongcheng District Food and Drug Safety Monitoring Center, Beijing 100027, China
- Publication Type:Research Article
- Keywords:
Glycyrrhizae Radix et Rhizoma;
near infrared;
partial least squares;
spectral pretreatment;
quantitative model
- From:
Chinese Journal of Experimental Traditional Medical Formulae
2019;25(9):176-181
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To establish a better near infrared quantitative model for quality control of Glycyrrhizae Radix et Rhizoma of components (moisture,total ash,liquiritin and glycyrrhizic acid) in liquorice,in order to realize rapid detection.Method: The contents of moisture,total ash,liquiritin and glycyrrhizic acid were determined in 97 samples based on the methods set forth in Chinese Pharmacopoeia.Meanwhile,the near infrared spectrum was scanned using near infrared spectroscope.R software was used to screen out the spectral pretreatment and build the quantitative models.Result: The optimum spectral pretreatment method for establishing the near infrared quantitative model of moisture and liquiritin was the first order derivative.For moisture,the correlation coefficients of test and validation were 0.930 0 and 0.929 9,and the root mean square errors were 0.243 2 and 0.203 8,respectively.For liquiritin,the correlation coefficients of test and validation were 0.930 3 and 0.907 6,and the root mean square errors were 0.093 9 and 0.128 9,respectively.The optimum spectral pretreatment method for establishing the near infrared quantitative model of total ash was MSC.The correlation coefficients of test and validation were 0.926 5 and 0.917 7,and the root mean square errors were 0.109 6 and 0.103 7,respectively.The optimum spectral pretreatment method for establishing the near infrared quantitative model of glycyrrhizic acid was SNV.The correlation coefficients of test and validation were 0.918 1 and 0.915 7,and the root mean square errors were 0.274 8 and 0.236 0,respectively.Conclusion: In this study,a better near infrared quantitative models for quality control of components of Glycyrrhizae Radix et Rhizoma were established,with a high accuracy,which laid a foundation for rapid detection of the components in Glycyrrhizae Radix et Rhizoma.
