Development, stability-indicating assessment, and evaluation of influential method conditions using a full factorial design for the determination of Nintedanib esylate-related impurities

J Sep Sci. 2023 Jun;46(11):e2200770. doi: 10.1002/jssc.202200770. Epub 2023 Apr 12.

Abstract

The design of an appropriate analytical method for assessing the quality of pharmaceuticals requires a deep understanding of science, and risk evaluation approaches are appreciated. The current study discusses how a related substance method was developed for Nintedanib esylate. The best possible separation between the critical peak pairs was achieved using an X-Select charged surface hybrid Phenyl Hexyl (150 × 4.6) mm, 3.5 μm column. A mixture of water, acetonitrile, and methanol in mobile phase-A (70:20:10) and mobile phase-B (20:70:10), with 0.1% trifluoroacetic acid and 0.05% formic acid in both eluents. The set flow rate, wavelength, and injection volumes were 1.0 ml/min, 285 nm, and 5 μl, respectively, with gradient elution. The method conditions were validated as per regulatory requirements and United States Pharmacopeia general chapter < 1225 >. The correlation coefficient for all impurities from the linearity experiment was found to be > 0.999. The % relative standard deviation from the precision experiments ranged from 0.4 to 3.6. The mean %recovery from the accuracy study ranged from 92.5 to 106.5. Demonstrated the power of the stability-indicating method through degradation studies; the active drug component is more vulnerable to oxidation than other conditions. Final method conditions were further evaluated using a full-factorial design. The robust method conditions were identified using the graphical optimization from the design space.

Keywords: Design of Experiments; Nintedanib; forced degradation; full factorial design; stability-indicating.

MeSH terms

  • Chromatography, High Pressure Liquid / methods
  • Drug Contamination*
  • Drug Stability
  • Indoles*
  • Reproducibility of Results

Substances

  • nintedanib
  • Indoles