Jul 2026· Asian Journal of Pharmaceutical Analysis· Vol 16, pp. 178· 0 citations· 10 references
TL;DR
The developed LC–MS/MS method was found to be sensitive, accurate, and suitable for routine quality control analysis and regulatory monitoring of NDBA impurity in Simvastatin and Ezetimibe tablet formulations.
Abstract
The detection of nitrosamine-related impurities in pharmaceutical products has emerged as a critical issue for regulatory agencies owing to their potential mutagenic and carcinogenic risks. N-nitrosodibutylamine (NDBA), one of the identified nitrosamine contaminants, is regarded as likely to be carcinogenic to humans and may pose a cancer-related hazard, can be generated during drug synthesis, processing, or storage conditions. Therefore, the identification and quantification of such trace-level impurities are essential to ensure drug safety and compliance with regulatory requirements. The present study aimed to develop and validate a sensitive, selective, and reliable Liquid Chromatography-Tandem Mass Spectrometry (LC–MS/MS) method for the determination of NDBA impurity in Simvastatin and Ezetimibe tablet formulations. Separation was performed on a Zorbax SB-Phenyl column (150 × 4.6mm, 3.5µm) using a gradient system of 0.1% formic acid in water and 0.1% formic acid in methanol, with a flow rate of 0.5mL/min. Detection was achieved using a triple quadrupole mass spectrometer fitted with an APCI source operating in positive ion mode, employing multiple reaction monitoring (MRM). The selected MRM transition for quantification of NDBA was m/z 159 → 103. The proposed analytical method was validated in compliance with International Council for Harmonisation recommendations by evaluating parameters such as specificity, linearity, accuracy, precision, limit of detection (LOD), and limit of quantification (LOQ). The developed LC–MS/MS method was found to be sensitive, accurate, and suitable for routine quality control analysis and regulatory monitoring of NDBA impurity in Simvastatin and Ezetimibe tablet formulations.
A liquid chromatography–tandem mass spectrometry method was developed and validated for quantifying N‐Nitroso melatonin, and the scavenger eliminated false positives by suppressing in situ nitrosamine formation, ensuring data integrity.
Jaya Yalamanchili, G. Himavathi, Salakolusu Suresh· Biomedical chromotography· 0 citations
The main aim of this development is to optimize and prove suitability of a new liquid chromatography-tandem mass spectrometry method for quantitatively analyzing 3-amino-N-nitrosopiperidine (NTPA) in Alogliptin Benzoate (AGP), achieving detectable response and quantifiable response value.
Mithun M Gharat, Pallavi T. Roy, Amit N Gosar et al.· Biomedical chromotography· 0 citations
A rapid and highly sensitive LC-MS/MS method was developed and validated for the determination of the nitrosamine drug substance-related impurity N-nitroso-desmethyl sumatriptan (NNDS) in sumatriptan succinate injection. Separation was achieved on an Inertsil ODS-3 column using gradient elution with 0.1% formic acid in...
This work focused on N-nitroso-fluoxetine, a N-nitrosamine drug substance-related impurity (NDSRI) formed in fluoxetine-containing products via nitrosation pathways. N-nitroso-fluoxetine was previously detected above the established safety threshold of 100 ng/day, leading to temporary withdrawal of a marketed product i...
Yue Zhang, P. Sacré, B. Streel et al.· Journal of Pharmaceutical an...· 1 citation· ⚡1
The development and validation of a sensitive and selective LC–MS/MS method for the estimation of venlafaxine impurity‐H in desvenlafaxine succinate API is described and is suitable for routine quality control and regulatory compliance applications.
M. M. Reddy, K. Ramadevi, Rajender Vadija· Separation Science Plus· 0 citations
A highly sensitive liquid chromatography–tandem mass spectrometry method was developed and validated for trace‐level quantification of this impurity in MAA formulations, ensuring reliable detection and control of mutagenic impurities in MAA formulations.
G. P. Kumar, Ramesh Kola, Ramarao Abburi· Separation Science Plus· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.