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Application of Artificial Neural Networknearinfrared Reflectance Spectroscopy in Controlling Extractant of Fructus Cnidii by SFE-CO2

GUO Ye, WANG Bin, QU Nan, ZHAO Lingzhi, LI Wenliang, MI Hong, REN Yulin   

  1. College of Chemistry, Jilin University, Changchun 130012, China
  • Received:2007-04-05 Revised:1900-01-01 Online:2008-03-26 Published:2008-03-26
  • Contact: REN Yulin

Abstract: A rapid and nondestructive analytical method for simultaneous analysis of osthol and imperatorin in the extractant of Fructus Cnidii obtained by supercritical carbon dioxide fluid extraction (SFE-CO2) was developedby artificial neural network based on nearinfrared spectroscopy. The artificial neural network (ANN) models of original spectrum and two pretreated spectra (firstderivative and standard normal variate, respectively) of osthol and imperatorin were established. In the models the concentrations of osthol and imperatorin were determined simultaneouslyand compared. The best model of determining the concentrations of osthol and imperatorin was obtained via their firstderivative spectra.

Key words: artificial neural network, near infrared diffuse ref lectance spectrum, Fructus Cnidii, supercritical carbon dioxide extraction

CLC Number: 

  • O657.33