LC-ESI-MS/MS method for the accurate quantification of eight nitrosamines in pharmaceutical products

三级四极质谱仪 色谱法 化学 检出限 生物分析 电喷雾电离 质谱法 串联质谱法 亚硝胺 探索者 选择性反应监测 致癌物 有机化学 农学 杀虫剂 生物 农药残留
作者
İbrahim DANİŞ,Durişehvar Özer Ünal
出处
期刊:European journal of mass spectrometry [SAGE Publishing]
卷期号:31 (1-2): 51-62 被引量:1
标识
DOI:10.1177/14690667251328823
摘要

In 2018, the Food and Drug Administration and the European Medicines Agency identified nitrosamine impurities in certain drugs, prompting detailed investigations by international regulatory authorities. According to ICH M7 (R1) guidelines, nitrosamines are classified as Class 1 substances, the most hazardous category, based on their carcinogenic and mutagenic properties. They are also recognized as probable human carcinogens by the International Agency for Research on Cancer. Since nitrosamine-induced DNA damage poses significant health risks, identifying potential nitrosamines in pharmaceutical products is crucial. In this study, a simple and efficient extraction method was designed to minimize matrix effects. These effects were evaluated using calibration curves prepared for each drug product in their respective matrices. The developed method was performed using an Agilent 1260 series HPLC system and an Agilent 6460 triple quadrupole tandem mass spectrometer. An Inertsil ODS-3 C18 (5 µm, 4.6 × 150 mm) column was employed for chromatographic separation. A triple quadrupole mass detector with electrospray ionization was used for detection, and multiple reaction monitoring was employed for quantification. The correlation coefficients (r²) were at least 0.999 for all eight nitrosamines. Limit of detection and limit of quantification values were determined as 0.05-0.8 ng/mL and 0.1-2.0 ng/mL, respectively. Validation results demonstrated satisfactory selectivity, accuracy, precision, and stability. The results demonstrated that the developed method is capable of reliably detecting potential nitrosamines present in pharmaceutical products at trace levels. This method contributes significantly to pharmaceutical safety and can serve as a valuable tool for future analyses.
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