A headspace GC–MS method to quantify nitrosamine impurities and precursors in drug products: Method validation and product testing
Pharmaceutical manufacturers are working to mitigate the formation of nitrosamine impurities in drug products. The work herein describes the development and validation of a headspace GC-MS method according to ICH Q2(R1) guidelines for the detection and quantification of NDMA, NDEA, NDIPA, and NEIPA in drug products. The analytical procedure was further modified to include detection and quantitation of DMF due to the potential decomposition pathway of DMF to form dimethylamine, a known precursor for NDMA formation. The NDMA impurity was detected in the "sartan" class of drug products between 0.1 and 113 ppm. The validated analytical procedure was applied in an investigation of approaches to mitigate nitrosamine formation in metformin drug products. The developed analytical procedures provide another tool for pharmaceutical manufacturers to evaluate drug products for nitrosamine impurities.
Authors
- Christopher Beekman
- Patrick J. Faustino (ORCID: https://orcid.org/0000-0002-7719-0813)
- Susan Daniela Selaya
- Nicolas Abrigo (ORCID: https://orcid.org/0000-0002-2564-8642)
- Diaá M. Shakleya (ORCID: https://orcid.org/0000-0002-3649-0449)
- Dustin G. Brown (ORCID: https://orcid.org/0000-0001-6794-0409)
- Saaniya Desai
Institutions
- Center for Food Safety and Applied Nutrition (US)
- Center for Drug Evaluation and Research (US)
- Quality Research (US)
Publication Details
- Journal
- Biomedical Chromatography
- Published
- 2024-11-07
- DOI
- https://doi.org/10.1002/bmc.6040
- Citations
- 8
- Primary Topic
- Polyamine Metabolism and Applications
- Type
- article
- Field-Weighted Citation Impact
- 1.87
Funders
- U.S. Department of Energy
- U.S. Food and Drug Administration
- Oak Ridge Institute for Science and Education