人工神经网络-近红外光谱法定量分析Cofrel粉末药品

Quantitative Analysis of Cofrel Medicines in Powder by Artificial Neural Network Methodnear Infrared Spectroscopy

LIU Mingyang¹,²， ZHAO Jinghong²， ZHANG Xiaoming³， REN Yulin³

1. Department of Chemistry， Tsinghua University， Beijing 100084, China； 2. Centre of Technique， Liaoning Entryexit Insection and Quarantine Bureau， Dalian 116001, Liaoning Province, China； 3. College of Chemistry， Jilin University， Changchun 130012, China

Received:2006-05-26 Revised:1900-01-01 Online:2007-03-26 Published:2007-03-26
Contact: LIU Mingyang

Abstract

Abstract: Artificial neural network (ANN) arithmetic was used to resolve near infrared (NIR) reflectance spectra of Cofrel medicine in powder. The contents of benproperine phosphate， which is effective pharmaceutical component in Cofrel medicine， has been accurately fast quantitatively predicted. The best model of ANN was designed. The effects of input nodes and hidden nodes on the results were discussed respectively. Comparison of the results with those of HPLC indicates the relative error of benproperine phosphate is less than 4.0%. The analytical result could be applied to the qualitative control of Cofrel medicines in practical manufacture.

Key words: artificial neural network, near infrared reflectance spectra, quantitative analysis, Cofrel

CLC Number:

O657.1

LIU Mingyang,， ZHAO Jinghong， ZHANG Xiaoming， REN Yulin. Quantitative Analysis of Cofrel Medicines in Powder by Artificial Neural Network Methodnear Infrared Spectroscopy[J].J4, 2007, 45(02): 301-304.

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Quantitative Analysis of Cofrel Medicines in Powder by Artificial Neural Network Methodnear Infrared Spectroscopy

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