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[Calibration methods of infrared spectra for geographical origins determination of Radix Zanthoxyli].
Huang, Shu-shi; Li, Zi-da; Mao, Xiao-li; Zheng, Juan-mei; Liu, Jun-xian; Huang, Rong-shao.
Affiliation
  • Huang SS; Biophysics Laboratory, Guangxi Academy of Sciences, Nanning 530007, China. hshushi@gxas.cn
Guang Pu Xue Yu Guang Pu Fen Xi ; 32(2): 364-9, 2012 Feb.
Article in Zh | MEDLINE | ID: mdl-22512169
The instrument and the experimental environment influence the infrared spectra, which may limited the identification of the samples by a prediction model. Based on the Fourier transform infrared spectroscopy (FTIR) technology, the authors performed different infrared spectral calibration methods for Radix Zanthoxyli geographical origins determination, the SIMCA was used to establish an identification models, and the model was used to distinguish samples from four different regions of Guangxi. According to the result of prediction, the authors could obtain the most suitable calibration method for the identification model. The results showed that, respectively, by the multiple scattering correction and standard normal variation, their PCA data distribution and the distance between models is ideal, suggesting that we can eliminate the interference from the environmental and human factors by these two correction methods, and also separate each samples of different habitats. The test using the method to measure the geographical origins of Radix Zanthoxyli proved that the recognition rate and rejection rate are both at or near 100%. Visible, and both the multiplicative scatter correction and the standard normal variation are all the ideal calibration methods for Radix Zanthoxyli infrared spectral geographical origins determination.
Subject(s)
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Collection: 01-internacional Database: MEDLINE Main subject: Ranunculaceae Type of study: Prognostic_studies Language: Zh Journal: Guang Pu Xue Yu Guang Pu Fen Xi Year: 2012 Document type: Article
Search on Google
Collection: 01-internacional Database: MEDLINE Main subject: Ranunculaceae Type of study: Prognostic_studies Language: Zh Journal: Guang Pu Xue Yu Guang Pu Fen Xi Year: 2012 Document type: Article