Wavelet analysis for the multicomponent determination in a binary mixture of caffeine and propyphenazone in tablets

DİNÇ E., Baleanu D., Aboul-Enein H. Y.

Farmaco, vol.59, no.4, pp.335-342, 2004 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 59 Issue: 4
  • Publication Date: 2004
  • Doi Number: 10.1016/j.farmac.2004.01.002
  • Journal Name: Farmaco
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, International Pharmaceutical Abstracts
  • Page Numbers: pp.335-342
  • Keywords: Binary mixture, Caffeine, De-noising, High-resolution, Propyphenazone, Wavelet families
  • Ankara University Affiliated: Yes

Abstract

An approach based on both discrete and continuous wavelet analysis followed by a zero-crossing technique was developed. We applied this approach to obtain a high resolution in the binary mixture of caffeine (CA) and propyphenazone (PR) in the presence of their overlapping signals in the working length. The optimization of the wavelet families was accomplished for this mixture. The de-noise procedure was carried out by using 4-level Haar discrete wavelet transform and the resulted de-noised signal was investigated by continuous Mexican (MEX) and Haar (HA) transforms. Finally, a zero-crossing technique was applied on the transformed signal and the constructed calibration was tested by analyzing the composition of the different mixture containing CA and PR. All calculations have been performed within EXCEL and Matlab 6.5 software. The obtained results indicate that our procedure is flexible and applicable for the mixture analysis. © 2004 Elsevier SAS. All rights reserved.