Batch Statistical Process Monitoring Approach to a Cocrystallization Process

J Pharm Sci. 2015 Dec;104(12):4099-4108. doi: 10.1002/jps.24623. Epub 2015 Aug 26.

Abstract

Cocrystals are defined as crystalline structures composed of two or more compounds that are solid at room temperature held together by noncovalent bonds. Their main advantages are the increase of solubility, bioavailability, permeability, stability, and at the same time retaining active pharmaceutical ingredient bioactivity. The cocrystallization between furosemide and nicotinamide by solvent evaporation was monitored on-line using near-infrared spectroscopy (NIRS) as a process analytical technology tool. The near-infrared spectra were analyzed using principal component analysis. Batch statistical process monitoring was used to create control charts to perceive the process trajectory and define control limits. Normal and non-normal operating condition batches were performed and monitored with NIRS. The use of NIRS associated with batch statistical process models allowed the detection of abnormal variations in critical process parameters, like the amount of solvent or amount of initial components present in the cocrystallization.

Keywords: co-crystals; cocrystallization; furosemide; near-infrared spectroscopy; nicotinamide; polymorphism; process analytical technology; quality by design; statistical process monitoring.

MeSH terms

  • Chemistry, Pharmaceutical / methods
  • Crystallization / methods
  • Furosemide / chemistry
  • Models, Statistical
  • Niacinamide / chemistry
  • Pharmaceutical Preparations / chemistry*
  • Principal Component Analysis / methods
  • Solubility
  • Solvents / chemistry
  • Spectroscopy, Near-Infrared / methods
  • Technology, Pharmaceutical / methods*
  • Temperature

Substances

  • Pharmaceutical Preparations
  • Solvents
  • Niacinamide
  • Furosemide