人工神经网络-近红外光谱法非破坏定量分析Norvasc药片

Nondestructive Quantitative Analysis of Norvasc in Tablets by Artificial Neural Network Methodnear Infrared Spectroscopy

LIU Mingyang¹,², ZHAO Jinghong¹, MENG Yu³

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. Prefz Pharmaceutical Co., Dalian 116600, Liaoning Province, China

Received:2006-11-27 Revised:1900-01-01 Online:2007-09-26 Published:2007-09-26
Contact: LIU Mingyang

Abstract

Abstract: Artificial neural network (ANN) algorithm was used to analyse the near infrared (NIR) reflectance spectrum of Norvasc in tablet medicine. The content of amlodipine besylate, which was pharmaceutically available in Norvasc medicine, was accurately nondestructively quantitatively determined. The best model of ANN was designed. The effects of input nodes and hidden nodes on the results were discussed, respectively. Compared the results with those of HPLC, the relative error (RE%) of mlodipine besylate was less than 4.2%. 

Key words: artificial neural network, near infrared reflectance spectra, nondestructive quantitative analysis, Norvasc

CLC Number:

O657.33

LIU Mingyang,, ZHAO Jinghong, MENG Yu. Nondestructive Quantitative Analysis of Norvasc in Tablets by Artificial Neural Network Methodnear Infrared Spectroscopy[J].J4, 2007, 45(05): 849-852.

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Nondestructive Quantitative Analysis of Norvasc in Tablets by Artificial Neural Network Methodnear Infrared Spectroscopy

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