DRIFT-IR for quantitative characterization of polymorphic composition of sulfathiazole

Kati Pöllänen*, Antti Häkkinen, Mikko Huhtanen, Satu Pia Reinikainen, Milja Karjalainen, Jukka Rantanen, Marjatta Louhi-Kultanen, Lars Nyström

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

29 Citations (Scopus)

Abstract

The quality assurance of the product during the whole development and manufacturing cycle of pharmaceuticals through increased level of process understanding is the main aspect to be considered within process analytical technology (PAT). Therefore, development of new tools using, e.g., multivariate methods for quality control in different steps of manufacturing process are of great importance. In this context, diffuse reflectance fourier transform infrared (DRIFT-IR) spectroscopy together with multivariate statistical process control (MSPC) analysis, soft independent modeling of class analogy (SIMCA), orthogonal signal correction (OSC) preprocessing and partial least squares (PLS) regression methods were applied to polymorphic characterization of crystalline bulk product. X-ray powder diffraction (XRPD) was used as a reference technique. The use of several multivariate techniques in rapid evaluation of purity and polymorphic composition of bulk samples is demonstrated. This offers an additional method for quality monitoring of the bulk product after crystallization process within PAT concept.

Original languageEnglish
Pages (from-to)108-117
Number of pages10
JournalAnalytica Chimica Acta
Volume544
Issue number1-2 SPEC. ISS.
DOIs
Publication statusPublished - 15 Jul 2005
MoE publication typeA1 Journal article-refereed

Keywords

  • DRIFT-IR
  • MSPC
  • OSC
  • PLS
  • Polymorph characterization
  • SIMCA

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