Abstract
Horizontal attenuation total reflection-Fourier transformation infrared spectroscopy (HATR-FT-IR) is used to measure the Mid-IR (MIR) of semen armeniacae amarum and its confusable varieties semen persicae. In order to extrude the difference between semen armeniacae amarum and semen persicae, discrete wavelet transformation (DWT) is used to decompose the MIR of semen armeniacae amarum and semen persicae. Two main scales are selected as the feature extracting space in the DWT domain. According to the distribution of semen armeniacae amarum and semen persicae’s MIR, five feature regions are determined at every spectra band by selecting two scales in the DWT domain. Thus, ten feature parameters form the feature vector. The feature vector is input to the back-propagation artificial neural network (BP-ANN) to train so as to accurately classify the semen armeniacae amarum and semen persicae. 100 couples of MIR are used to train and test the proposed method, where 50 couples of data are used to train samples and other 50 couples of data are used to test samples. Experimental results show that the accurate recognition rate between semen armeniacae amarum and semen persicae is averaged 99% following the proposed method.
Highlights
Traditional Chinese medicine (TCM) is more than just the great contributions to the flourishing and prosperity of the Chinese nation
Semen armeniacae amarum is a kind of TCM, which has been known for the treatment of diseases for a long time
HATR-Fourier transform infrared spectroscopy (FT-IR) spectroscopy combined with discrete wavelet transformation (DWT) and Artificial neural network (ANN) discrimination method was proposed for the rapid and simple classification of semen armeniacae amarum and semen persicae in this study
Summary
Traditional Chinese medicine (TCM) is more than just the great contributions to the flourishing and prosperity of the Chinese nation. Semen armeniacae amarum (bitter apricot kernel) is a kind of TCM, which has been known for the treatment of diseases for a long time It is used for treating a variety of coughs and dyspnea, and treating cough caused by wind heat. Artificial neural network (ANN) can learn and train the information samples so that it will possess similar memories of human brain, identification capabilities, and implementation of various informationprocessing functions. It has good self-learning, adaptive, associative memory, parallel processing, and nonlinear conversion capabilities, which avoid complicated mathematical derivation. HATR-FT-IR spectroscopy combined with DWT and ANN discrimination method was proposed for the rapid and simple classification of semen armeniacae amarum and semen persicae in this study
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