Linear regression analysis and its application to the multivariate spectral calibrations for the multiresolution of a ternary mixture of caffeine, paracetamol and metamizol in tablets

DİNÇ E.

JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS, cilt.33, sa.4, ss.605-615, 2003 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 33 Sayı: 4
  • Basım Tarihi: 2003
  • Doi Numarası: 10.1016/s0731-7085(03)00260-7
  • Dergi Adı: JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.605-615
  • Anahtar Kelimeler: tri-linear regression-calibration, multi-linear regression-calibration, multiresolution, multi-component mixture, caffeine, paracetamol, metamizol, DUAL-WAVELENGTH SPECTROPHOTOMETRY, CLASSICAL LEAST-SQUARES, FLOW-INJECTION ANALYSIS, PHARMACEUTICAL FORMULATIONS, MULTICOMPONENT ANALYSIS, DERIVATIVE SPECTROPHOTOMETRY, BIVARIATE CALIBRATION, ACETYLSALICYLIC-ACID, CHEMOMETRIC TECHNIQUES, BINARY-MIXTURES
  • Ankara Üniversitesi Adresli: Hayır

Özet

The multivariate spectral calibration methods, tri-linear regression-calibration (TLRC) and multi-linear regression-calibration (MLRC) were developed for the multiresolution of a ternary mixture of caffeine (CAF), paracetamol (APAP), metamizol (MET), which have closely overlapped in the spectra. The calibration algorithms were briefly described for the three-component system, CAF-APAP-MET. By using the various synthetic mixtures of three compounds, the validity of the TLRC and MLRC methods was confirmed and applied to the real samples containing the above-mentioned compounds in two different commercial tablet formulations. The TLCR and MLRC methods which are very rapid, easy to apply, yet not expensive, are powerful tools with very simple mathematical contents for multiresolution of the three- or multi-component mixture systems. The data treatments were carried out by the MAPLE V, EXCEL and spss 10.0 Softwares. The obtained results were successfully compared with each other as well as with those obtained by other literature methods. (C) 2003 Elsevier B.V. All rights reserved.