An accurate quantitative analysis of polymorphs based on artificial neural networks

Takehiro Okumura1, Masayuki Nakazono, Makoto Otsuka

  • 1Technology Research and Development Center, Dainippon Sumitomo Pharma Co. Ltd., Kasugade-naka 3-1-98, Osaka 554-8558, Japan. takehiro-okumura@ds-pharma.co.jp

Summary

Artificial neural networks (ANNs) enhance quantitative analysis of indomethacin polymorphic mixtures using X-ray powder diffractometry. This method offers superior accuracy, especially for low concentrations, improving drug formulation analysis.