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. 2015:2015:727589.
doi: 10.1155/2015/727589. Epub 2015 Aug 9.

Rapid Discrimination for Traditional Complex Herbal Medicines from Different Parts, Collection Time, and Origins Using High-Performance Liquid Chromatography and Near-Infrared Spectral Fingerprints with Aid of Pattern Recognition Methods

Haiyan Fu  1 , Yao Fan  1 , Xu Zhang  1 , Hanyue Lan  1 , Tianming Yang  1 , Mei Shao  1 , Sihan Li  1
Affiliations

Rapid Discrimination for Traditional Complex Herbal Medicines from Different Parts, Collection Time, and Origins Using High-Performance Liquid Chromatography and Near-Infrared Spectral Fingerprints with Aid of Pattern Recognition Methods

Haiyan Fu et al. J Anal Methods Chem. 2015.

Abstract

As an effective method, the fingerprint technique, which emphasized the whole compositions of samples, has already been used in various fields, especially in identifying and assessing the quality of herbal medicines. High-performance liquid chromatography (HPLC) and near-infrared (NIR), with their unique characteristics of reliability, versatility, precision, and simple measurement, played an important role among all the fingerprint techniques. In this paper, a supervised pattern recognition method based on PLSDA algorithm by HPLC and NIR has been established to identify the information of Hibiscus mutabilis L. and Berberidis radix, two common kinds of herbal medicines. By comparing component analysis (PCA), linear discriminant analysis (LDA), and particularly partial least squares discriminant analysis (PLSDA) with different fingerprint preprocessing of NIR spectra variables, PLSDA model showed perfect functions on the analysis of samples as well as chromatograms. Most important, this pattern recognition method by HPLC and NIR can be used to identify different collection parts, collection time, and different origins or various species belonging to the same genera of herbal medicines which proved to be a promising approach for the identification of complex information of herbal medicines.

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Figures

Figure 1
Figure 1
Comparison of fingerprints of different collection parts (a), collection time (b), and different origins (c) of Hibiscus mutabilis L. and different species of Berberidis radix (d) by HPLC.
Figure 2
Figure 2
Assigned plots of dummy codes of the training set and prediction set for raw HPLC chromatogram of Hibiscus mutabilis L. (a) and Berberidis radix (b) in PLSDA model.
Figure 3
Figure 3
The raw NIR spectra of Hibiscus mutabilis L. (a) and Berberidis radix (b).
Figure 4
Figure 4
Score plots of the raw spectra by PCA of 8 different kinds of Hibiscus mutabilis L. samples in training sets and in prediction sets.
Figure 5
Figure 5
Score plots of the raw NIR spectra by LDA of 8 different kinds of Hibiscus mutabilis L. samples in training sets and in prediction sets.
Figure 6
Figure 6
Assigned plots of dummy codes of the training set and prediction set for the raw NIR spectra in PLSDA model.
See this image and copyright information in PMC

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