Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/15608
Title: Rapid analysis of radix puerariae by near-infrared spectroscopy
Authors: Lau, CC
Chan, CO
Chau, FT
Mok, DKW 
Keywords: Radix puerariae
Puerarin
Total isoflavonoid content
Near-infrared spectroscopy
Issue Date: 2009
Source: Journal of chromatography A, 2009, v. 1216, no. 11, p. 2130-2135 How to cite?
Journal: Journal of chromatography A 
Abstract: A new, rapid analytical method using near-infrared spectroscopy (NIRS) was developed to differentiate two species of Radix puerariae (GG), Pueraria lobata (YG) and Pueraria thomsonii (FG), and to determine the contents of puerarin, daidzin and total isoflavonoid in the samples. Five isoflavonoids, puerarin, daidzin, daidzein, genistin and genistein were analyzed simultaneously by high-performance liquid chromatography-diode array detection (HPLC-DAD). The total isoflavonoid content was exploited as critical parameter for successful discrimination of the two species. Scattering effect and baseline shift in the NIR spectra were corrected and the spectral features were enhanced by several pre-processing methods. By using linear discriminant analysis (LDA) and soft independent modeling class analogy (SIMCA), samples were separated successfully into two different clusters corresponding to the two GG species. Furthermore, sensitivity and specificity of the classification models were determined to evaluate the performance. Finally, partial least squares (PLS) regression was used to build the correlation models. The results showed that the correlation coefficients of the prediction models are R = 0.970 for the puerarin, R = 0.939 for daidzin and R = 0.969 for total isoflavonoid. The outcome showed that NIRS can serve as routine screening in the quality control of Chinese herbal medicine (CHM).
URI: http://hdl.handle.net/10397/15608
ISSN: 0021-9673
DOI: 10.1016/j.chroma.2008.12.089
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

49
Last Week
5
Last month
Citations as of Nov 17, 2017

WEB OF SCIENCETM
Citations

44
Last Week
0
Last month
0
Citations as of Nov 18, 2017

Page view(s)

38
Last Week
4
Last month
Checked on Nov 13, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.