Analysis and risk assessment of nitrosamines in sartans using GC-MS and Monte Carlo simulation

The precise detection of nitrosamines at very low levels in various substances is crucial because of their known toxicity and potential to cause genetic mutations. As a result, regulations have been established to evaluate the risk of nitrosamines and manage their presence in pharmaceuticals. In this study, we developed an analytical method involving solvent extraction and gas chromatography-mass spectrometry for the determination of N-nitrosodimethylamine and N-nitrosodiethylamine based on the internal standard method. According to validated results based on ICH guidelines, calibration curves spanned from 2.5 to 40 ng mL<sup>-1</sup> with a limit of quantitation of 0.015 µg g<sup>-1</sup> for N-nitrosodimethylamine and 0.003 µg g<sup>-1</sup> for N-nitrosodiethylamine, meeting the US FDA requirements. The method's relative recovery was 80-120%, with a relative standard deviation of ≤ 12%. Then, the levels of both nitrosamines were determined using the validated method in 84 samples of active pharmaceutical ingredients or finished products, including valsartan, valsartan methyl ester, sacubitril/valsartan, losartan, and telmisartan. Additionally, we utilized Monte Carlo simulation to assess the potential health risks associated with the use of sartans. According to the obtained results, the Hazard index values were found to be less than 1 indicating that children and adult users may not be at risk of health problems.

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Publication Details

Journal
Scientific Reports
Published
2025-06-06
DOI
https://doi.org/10.1038/s41598-025-97844-0
Primary Topic
Water Treatment and Disinfection
Type
article
Field-Weighted Citation Impact
0.00

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article

Analysis and risk assessment of nitrosamines in sartans using GC-MS and Monte Carlo simulation

Ghazaleh Abedi, Zahra Talebpour, Vahideh Mahdavi, Noushin Adib et al.
Scientific Reports
Water Treatment and Disinfection
article

Analysis and risk assessment of nitrosamines in sartans using GC-MS and Monte Carlo simulation

Ghazaleh Abedi, Zahra Talebpour, Vahideh Mahdavi, Noushin Adib, Fatemeh Shomali, Nilufar Mousavi, Shiva Mokhtarifar, Marjan Kohandani
article en

Abstract

The precise detection of nitrosamines at very low levels in various substances is crucial because of their known toxicity and potential to cause genetic mutations. As a result, regulations have been established to evaluate the risk of nitrosamines and manage their presence in pharmaceuticals. In this study, we developed an analytical method involving solvent extraction and gas chromatography-mass spectrometry for the determination of N-nitrosodimethylamine and N-nitrosodiethylamine based on the internal standard method. According to validated results based on ICH guidelines, calibration curves spanned from 2.5 to 40 ng mL<sup>-1</sup> with a limit of quantitation of 0.015 µg g<sup>-1</sup> for N-nitrosodimethylamine and 0.003 µg g<sup>-1</sup> for N-nitrosodiethylamine, meeting the US FDA requirements. The method's relative recovery was 80-120%, with a relative standard deviation of ≤ 12%. Then, the levels of both nitrosamines were determined using the validated method in 84 samples of active pharmaceutical ingredients or finished products, including valsartan, valsartan methyl ester, sacubitril/valsartan, losartan, and telmisartan. Additionally, we utilized Monte Carlo simulation to assess the potential health risks associated with the use of sartans. According to the obtained results, the Hazard index values were found to be less than 1 indicating that children and adult users may not be at risk of health problems.

Scientific ReportsVol. 15(1)
Agricultural Research & Education Organization (IR), Iranian Research Institute of Plant Protection (IR), Alzahra University (IR)
Alzahra University
Zero hunger
Openalex Percentile: Top 83%
Water Treatment and Disinfection
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Analysis and risk assessment of nitrosamines in sartans using GC-MS and Monte Carlo simulation — Ghazaleh Abedi, Zahra Talebpour, et al. · Scientific Reports (2025) | TGRS Research Map | TGRS