Almir Custodio Batista Junior, Ricardo Alves Bernardo, Yuri Arrates Rocha, Boniek Gontijo Vaz, Marc Yves Chalom, Antônio Celso Jardim, Andréa Rodrigues Chaves
Journal of the American Society for Mass Spectrometry 2024 Aug 07N-nitrosamines (NAs) are prevalent mutagenic impurities in various consumer products. Their discovery in valsartan-containing medicines in 2018 prompted global regulatory agencies to set guidelines on their presence and permissible levels in pharmaceuticals. In order to determine the NAs content in medicines, efficient and sensitive analytical methods have been developed based on mass spectrometry techniques. Direct analysis in real time-mass spectrometry (DART-MS) has emerged as a prominent ambient ionization technique for pharmaceutical analysis due to its high-throughput capability, simplicity, and minimal sample preparation requirements. Thus, in this study DART-MS was evaluated for the screening and quantification of NAs in medicines. DART-MS analyses were conducted in positive ion mode, for both direct tablet analysis and solution analysis. The analytical performance was evaluated regarding linearity, precision, accuracy, limits of detection, and quantification. The DART-MS proved to be suitable for the determination of NAs in medicines, whether through direct tablet analysis or solution analysis. The analytical performance demonstrated linearity in the range from 1.00 to 200.00 ng mL-1, limits of quantification about 1.00 ng mL-1, precision and accuracy lower than 15%, and no significant matrix effect for six drug-related NAs. In conclusion, the DART-MS technique demonstrated to be an alternative method to determine NAs in medicines, aligning with the principles of green chemistry.
Almir Custodio Batista Junior, Ricardo Alves Bernardo, Yuri Arrates Rocha, Boniek Gontijo Vaz, Marc Yves Chalom, Antônio Celso Jardim, Andréa Rodrigues Chaves. An Agile and Accurate Approach for N-Nitrosamines Detection and Quantification in Medicines by DART-MS. Journal of the American Society for Mass Spectrometry. 2024 Aug 07;35(8):1657-1668
PMID: 38716699
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