Quantitative Near-infrared Spectroscopic Analysis of Trimethoprim by Artificial Neural Networks Combined with Modified Genetic Algorithm |
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Authors: | SHAN Hongyan ;FEI Yanqun ;HUAN Yanfu ;FENG Guodong ;FEI Qiang |
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Institution: | 1. College of Chemistry, Jilin University, Changchun 130021, P. R. China;
2. Changchun Weiersai Biotec Pharmaceutical Co., Ltd., Changchun 130616, P. R. China |
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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. |
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Keywords: | Artificial neural network Genetic algorithm Near-infrared spectroscopy Trimethoprim |
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