Chemical Research in Chinese Universities ›› 2014, Vol. 30 ›› Issue (4): 582-586.doi: 10.1007/s40242-014-3410-x

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Quantitative Near-infrared Spectroscopic Analysis of Trimethoprim by Artificial Neural Networks Combined with Modified Genetic Algorithm

SHAN Hongyan1, FEI Yanqun2, HUAN Yanfu1, FENG Guodong1, FEI Qiang1   

  1. 1. College of Chemistry, Jilin University, Changchun 130021, P. R. China;
    2. Changchun Weiersai Biotec Pharmaceutical Co., Ltd., Changchun 130616, P. R. China
  • Online:2014-08-01 Published:2014-04-14
  • Contact: FEI Qiang E-mail:feiqiang@jlu.edu.cn
  • Supported by:

    Supported by the National Natural Science Foundation of China(No.21207047), the State Major Project for Science and Technology Development, China(No.2011YQ14015001), the Basic Research Foundation of Jilin University, China (Nos.201103096, 201103102) and the Science-Technology Development Project of Jilin Province of China(Nos.201105008, 20126018, 20130206014GX).

Abstract:

A novel method for rapid, accurate and nondestructive determination of trimethoprim in complex matrix was presented. Near-infrared spectroscopy coupled with multivariate calibration(partial least-squares and artificial neural networks) was applied in the experiment. The variable selection process based on a modified genetic algorithm with fixed number of selected variables was proceeded, which can reduce the training time and enhance the predictive ability when coupled with artificial neural network model.

Key words: Artificial neural network, Genetic algorithm, Near-infrared spectroscopy, Trimethoprim