Nat Prod Sci.  2018 Sep;24(3):164-170. 10.20307/nps.2018.24.3.164.

Classficiation of Bupleuri Radix according to Geographical Origins using Near Infrared Spectroscopy (NIRS) Combined with Supervised Pattern Recognition

• Lee DY
• Kang KB
• Kim J
• Kim HJ
• Sung SH

• KMID: 2422008
• DOI: http://doi.org/10.20307/nps.2018.24.3.164

Abstract

Rapid geographical classification of Bupleuri Radix is important in quality control. In this study, near infrared spectroscopy (NIRS) combined with supervised pattern recognition was attempted to classify Bupleuri Radix according to geographical origins. Three supervised pattern recognitions methods, partial least square discriminant analysis (PLS-DA), quadratic discriminant analysis (QDA) and radial basis function support vector machine (RBF-SVM), were performed to establish the classification models. The QDA and RBF-SVM models were performed based on principal component analysis (PCA). The number of principal components (PCs) was optimized by cross-validation in the model. The results showed that the performance of the QDA model is the optimum among the three models. The optimized QDA model was obtained when 7 PCs were used; the classification rates of the QDA model in the training and test sets are 97.8% and 95.2% respectively. The overall results showed that NIRS combined with supervised pattern recognition could be applied to classify Bupleuri Radix according to geographical origin.

Keyword

Near infrared spectroscopy; Bupleuri Radix; Geographical classification; Supervised pattern recognition

MeSH Terms

Classification
Principal Component Analysis
Quality Control
Spectrum Analysis*
Support Vector Machine

Figure

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  Fig. 1. Average NIR reflectance specrtra of Bupleuri Radix obtained from raw data.

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  Fig. 2. Average NIR reflectance specrtra of Bupleuri Radix with 2nd derivative preprocessing.

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  Fig. 3. Two dimensional score plot of the top two principal components (PCs) for all samples.

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  Fig. 4. Cross validation classification rates of QDA (a) and RBF-SVM (b) models at different PCs.

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