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May 11, 2026Bulletin of the Korean Chemical Society0 citations

Mitigation of ionization‐induced quantitative bias in LC – MS / MS analysis of N ‐nitrosamine drug‐substance‐related impurities in Rasagiline pharmaceutical products

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CMChan Hong MinHOHan Bin Oh

Key Points

  • This research aims to mitigate ionization-induced quantitative bias in measuring N-nitrosamine impurities in Rasagiline.
  • Optimized Heated Electrospray Ionization (H-ESI) parameters to preserve protonated molecular ion.
  • Developed a gradient LC method with high-organic wash and flow diversion strategies.
  • Analyzed performance metrics such as linearity, precision, and sensitivity.
  • Achieved excellent linearity (R2 > 0.998) in impurity quantification.
  • Maintained acceptable precision with RSD ≤ 11.5%.
  • Demonstrated sufficient sensitivity with LOQ at 30 ng/mL.

Abstract

Abstract Accurate quantification of N ‐nitrosamine drug‐substance–related impurities (NDSRIs) in pharmaceutical products requires careful control of ionization‐induced artifacts during LC–MS/MS analysis. In pharmaceutical matrices where the active pharmaceutical ingredient (API) is present at concentrations several orders of magnitude higher than the target impurity, in‐source fragmentation can generate overlapping product ions, leading to significant quantitative bias. In this study, we demonstrate that certain atmospheric‐pressure ionization conditions induce in‐source decomposition of both rasagiline and its corresponding nitroso impurity, producing a common fragment ion at m / z 117. This overlap can compromise analytical specificity and potentially result in overestimation of impurity levels. To mitigate this ionization‐induced quantitative bias, Heated Electrospray Ionization (H‐ESI) parameters were systematically optimized to preserve the intact protonated molecular ion ( m / z 201) while minimizing thermally induced fragmentation. In addition, a gradient LC method incorporating a high‐organic wash step and flow diversion strategy was established to enhance analytical robustness under routine quality control conditions. The optimized LC–MS/MS method demonstrated excellent linearity ( R 2 > 0.998), acceptable precision (RSD ≤ 11.5%), and sufficient sensitivity (LOQ 30 ng/mL) to meet current regulatory requirements. These findings highlight the critical importance of ion‐source selection in nitrosamine impurity analysis and provide a practical strategy to reduce the risk of ionization‐induced quantitative bias in pharmaceutical LC–MS/MS applications.

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Cite This Study

Min et al. (2026) studied this question.

synapsesocial.com/papers/6a0171ed3a9f334c28271f90https://doi.org/10.1002/bkcs.70171
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Formation of N-nitroso compounds: Chemistry, kinetics, and in vivo occurrence1975 · 779 citations
  2. 2Rasagiline2007 · 91 citations
  3. 3Approaches and Considerations for the Investigation and Synthesis of N -Nitrosamine Drug Substance-Related Impurities (NDSRIs)2023 · 41 citations
  4. 4Low-Level Determination of Mutagenic Nitrosamine Impurities in Drug Substances by LC–MS/MS2021 · 16 citations
  5. 5Nitrosodimethylamine Impurities in Metformin Drug Products2021 · 9 citations