Determination of the Artificial Bezoar Powder in Bezoar Powder by Near-Infrared Spectrometry and Support Vector Machine
MA Qun1，2, HAO Gui-qi3, QIAO Yan-jiang1, ZHANG Zhuo-yong3*, ZHANG Xiao-fang3
1. Beijing University of Chinese Medicinal and Pharmaceutical Sciences, Beijing 100102, China 2. Research Institute, Beijing Tongrentang Co., Ltd, Beijing 100011, China 3. Department of Chemistry, Capital Normal University, Beijing 100037, China
Abstract：A method for determining the artificial bezoar powder in bezoar powder using near-infrared(NIR) diffuse reflectance spectrometry was proposed in the present paper. The method was based on support vector machine (SVM). The calibration set was set up by adding unequal artificial bezoar powder to the bezoar powder (content range: 0%-100% ) and collecting the NIR spectrum of the samples in the wave number range of 4 000-10 000 cm-1. The processing algorithm was wavelet transform with first and second derivatives. A mathematical model with support vector machine was established. The model was checked with leave one method. The sum of the square of the relative prediction error was 0.001 35. This method is reliable and can be used to control the quality of bezoar powder.
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