Establishment of Near Infrared Quantitative Analysis Model for Four Components in Cinnamomi Cortex
10.13422/j.cnki.syfjx.20192016
- VernacularTitle:肉桂中4种成分近红外定量分析模型的建立
- Author:
Yu-jing XIE
1
;
Jia-nan ZHANG
1
;
Dong-ning ZHU
1
;
Ke-ning ZHENG
1
;
Chao CHEN
1
;
Shu-mei WANG
1
Author Information
1. School of Traditional Chinese Medicine(TCM), Guangdong Pharmaceutical University, Guangdong Province Research Center for TCM Quality Engineering Technology, Key Laboratory of TCM Digitalization Quality Evaluation Under State Administration of TCM, Guangzhou 510006, China
- Publication Type:Research Article
- Keywords:
Cinnamomi Cortex;
near infrared;
coumarin;
cinnamalol;
cinnamic acid;
cinnamaldehyde
- From:
Chinese Journal of Experimental Traditional Medical Formulae
2020;26(2):119-123
- CountryChina
- Language:Chinese
-
Abstract:
Objective::To establish a rapid evaluation method for Cinnamomi Cortex decoction pieces by near infrared spectroscopy. Method::The contents of coumarin, cinnamalol, cinnamic acid and cinnamaldehyde in 86 batches of Cinnamomi Cortex of different origins were determined by HPLC. And the NIR spectra of different batches of Cinnamomi Cortex were also collected. With NIR spectrum as independent variable and coumarin, cinnamalol, cinnamic acid and cinnamaldehyde as dependent variables, a quantitative analysis model of four components in cinnamon was established by partial least squares method. Result::The correlation coefficients (r) of coumarin, cinnamic alcohol, cinnamic acid and cinnamaldehyde near infrared quantitative analysis models were 0.952 8, 0.977 7, 0.961 9, 0.992 2, root mean square error of cross(RMSEC) were 0.012 2, 0.006 1, 0.004 3, 0.82 g·g-1, root mean square errorof cross-validation(RMSECV) were 0.015 8, 0.011 2, 0.002 0, 1.481 1 g·g-1, and root mean square error of prediction(RMSEP) were 0.017 8, 0.010 3, 0.010 3, 0.005 5, 1.63 g·g-1. Conclusion::The established NIR quantitative analysis model of four active ingredients in Cinnamomi Cortex slices has a good accuracy, and provides a basis for rapid evaluation of the quality of Cinnamomi Cortex slices.
