• Title of article

    Application of NIR reflectance spectroscopy for the identification of pharmaceutical excipients Original Research Article

  • Author/Authors

    K Kr?mer، نويسنده , , S Ebel، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2000
  • Pages
    7
  • From page
    155
  • To page
    161
  • Abstract
    For manufacturing of medicaments, all ingredients must be reliably identified. Wet chemistry methods for identification of cellulose ethers, used by the Pharmacopoea Europea, is time consuming and expensive. To distinguish microcristalline and powdered cellulose, only unspecific sedimentation properties are used. However, applications as well as technological and pharmacokinetic properties of cellulose and various cellulose ethers are different. NIR reflectance spectroscopy speeds up the identification of excipients. So this technique causes fewer delay in manufacturing processes. The discrimination of powdered and microcristalline celluloses as well as cellulose and cellulose ethers is made possible by factor analysis and soft independent modelling of class analogies (SIMCA). The classification was improved by spectral pretreatment multiplicative scatter correction (MSC), derivation and wavelength selection. The discrimination of powdered and microcristalline celluloses is statistically highly significant, so the identification can be done reliably. Cellulose ethers can be quickly identified by NIR spectroscopy, although a large number of samples of different manufacturers and physical properties, for example viscosity, were used. The only exception is the discrimination of methylcellulose and cellulose ethers containing methyl and hydroxyalkyl substituents, which show identical spectra. But even for those excipients, the wet chemistry expenses can be reduced to one test. The developed strategy for data evaluation is quite general in nature, hence it can be applied to other pharmaceutical powders, excipients and active components as well.
  • Keywords
    Pharmaceuticals , SIMCA , PCA , cellulose , NIR
  • Journal title
    Analytica Chimica Acta
  • Serial Year
    2000
  • Journal title
    Analytica Chimica Acta
  • Record number

    1031981