Determination of genotoxic nitrosamines in Valsartan with gas chromatography and mass spectrometry

Applications | 2019 | Thermo Fisher ScientificInstrumentation
GC/MSD, HeadSpace, GC/SQ
Industries
Pharma & Biopharma
Manufacturer
Thermo Fisher Scientific

Importance of the Topic


  • Valsartan is a widely prescribed antihypertensive whose safety has been impacted by genotoxic nitrosamine contamination (NDMA, NDEA).
  • Regulators (FDA, EMA, C-FDA) classified these impurities as probable human carcinogens and established strict limits (0.3 ppm for NDMA, 0.08 ppm for NDEA).
  • Analytical detection at trace levels in complex drug matrices presents a significant challenge for sensitivity, selectivity, and throughput.

Objectives and Study Overview


  • Evaluate and compare three Thermo Scientific GC-MS configurations against C-FDA and US-FDA recommended methods for nitrosamine analysis in Valsartan.
  • Assess performance in terms of sensitivity, linearity, repeatability, resolution and compliance with regulatory limits.
  • Provide a flexible analytical portfolio to suit different laboratory needs for routine quality control.

Methodology and Instrumentation


  • Liquid-injection GC-MS (C-FDA): Single quadrupole ISQ 7000, methanol extraction of Valsartan, splitless injection.
  • Headspace GC-MS (US-FDA): TriPlus 500 autosampler, DMSO dissolution, single quadrupole analysis with TRACE 1310 GC.
  • Direct injection GC-MS/MS (US-FDA): TSQ 9000 triple quadrupole, DCM extraction, SRM transitions for NDMA and NDEA.

Main Results and Discussion


  1. Liquid-injection GC-MS achieved LOQs of 0.6 ppb (NDMA) and 0.8 ppb (NDEA), R2>0.998, resolution >2.5, S/N>10, recoveries 93–105%, detected nitrosamines below regulatory limits.
  2. Headspace GC-MS delivered LOQs equivalent to 1.5 ppb (NDMA) and 3.1 ppb (NDEA), R2>0.999, RSD <3%, recoveries 92–104%, quantification within specification.
  3. GC-MS/MS provided superior sensitivity (LOQs 0.5 ppb for NDMA, 0.16 ppb for NDEA), R2>0.998, RSD <3%, recoveries 84–108%, detected NDMA (2.6 ppb) and NDEA (1.5 ppb) well below limits.

Benefits and Practical Applications


  • All methods meet or exceed regulatory criteria for nitrosamine detection in pharmaceutical quality control.
  • GC-MS/MS offers highest sensitivity and selectivity, particularly beneficial for trace NDEA analysis.
  • Vacuum interlock design enables rapid maintenance, minimizing downtime and maximizing throughput.

Future Trends and Opportunities


  • Development of even lower detection limits for emerging nitrosamine analogues.
  • Integration of fully automated headspace and triple quadrupole workflows for high-throughput screening.
  • Extension of validated protocols to other drug substances and complex matrices.
  • Implementation of advanced data management systems to ensure compliance with evolving regulatory standards.

Conclusion


  • Thermo Scientific GC-MS and GC-MS/MS platforms provide robust, compliant, and flexible solutions for quantification of genotoxic nitrosamines in Valsartan.
  • Laboratories can select the most appropriate configuration based on required sensitivity, selectivity, and throughput.

Reference


  1. Chinese Pharmacopoeia, Determination of nitrosamines in Valsartan, 2018.
  2. US FDA, GC-MS Headspace Method for NDMA in Valsartan Drug Substance, 2018.
  3. US FDA, Combined NDMA and NDEA Impurity Assay by GC-MS Headspace, 2018.
  4. US FDA, Combined Direct Injection NDMA and NDEA Impurity Assay by GC-MS/MS, 2018.

Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.

Downloadable PDF for viewing
 

Similar PDF

Determination of genotoxic nitrosamines  in Valsartan with gas chromatography and  mass spectrometry
Overcoming the challenges of nitrosamine impurities in drugs
Overcoming the challenges of nitrosamine impurities in drugs
2020|Thermo Fisher Scientific|Technical notes
Overcoming the challenges of nitrosamine impurities in drugs
Simultaneous quantitation of nine nitrosamines using a highly sensitive and LC-HRAM mass spectrometry method in multiple drug products