Nondestructive Quantitative Analysis of Norvasc in Medicine Tablets by PLS-ANN Arithmetic Combined with NIR Spectroscopy

Chem. J. Chinese Universities

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Nondestructive Quantitative Analysis of Norvasc in Medicine Tablets by PLS-ANN Arithmetic Combined with NIR Spectroscopy

LÜ Hui-Ying¹, REN Yu-Lin², LIU Ming-Yang^3,4*

1. College of Computer Science and Technology,
2. College of Chemistry, Jilin University, Changchun 130012, China;
3. Department of Chemistry, Tsinghua University, Beijing 100084, China;
4. Centre of Technique, Liaoning Entry-Exit Inspection and Quarantine Bureau, Dalian 116600, China

Received:2006-05-29 Revised:1900-01-01 Online:2007-05-10 Published:2007-05-10
Contact: LIU Ming-Yang

Abstract

Abstract: Artificial neural network(ANN) algorithm combined with partial least squares(PLS) was used to parse near infrared(NIR) reflectance spectra of Norvasc medicine in tablets. The nondestructive and quantitative determination of the contents of amlodipine besylate, which is an effective component in the Norvasc tablets, were accurately carried out. The best model of PLS-ANN was designed. The effect of the best wavelength range, derivative NIR spectrum, input nodes and hidden nodes on the predicted results was discussed respectively. Compared the results with those of HPLC, the relative errors(RE) of mlodipine besylate are less than 3.5%. The analytical results could be applied to the quality control of Norvasc medicines in practical manufacture.

Key words: Partial least squares, Artificial neural network, Near infrared reflectance spectrum, Nondestructive and quantitative analysis, Norvasc in tablets

CLC Number:

O657

TrendMD:

LÜ Hui-Ying¹, REN Yu-Lin², LIU Ming-Yang^3,4*. Nondestructive Quantitative Analysis of Norvasc in Medicine Tablets by PLS-ANN Arithmetic Combined with NIR Spectroscopy[J]. Chem. J. Chinese Universities, doi: .

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Nondestructive Quantitative Analysis of Norvasc in Medicine Tablets by PLS-ANN Arithmetic Combined with NIR Spectroscopy

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