N-Nitrosamine Formation in Pharmaceutical Drug Products: Development and Validation of a Biased, Conservative, Predictive Model-Pub

Abstract

Following the discovery of *N-*nitrosamines in a range of medicinal products, regulatory agencies have required marketing authorization holders to undertake risk assessments for the presence of N-nitrosamines in their drug products. This work focusses on a solution phase kinetic model of secondary amine nitrosation that may be applied through the concept of a saturated solution layer to consider the formation of N-nitrosamines in a solid drug product. The conservative assumptions made in defining the reactant concentrations bias the model to overpredict the level of N-nitrosamine formed. This overprediction is demonstrated when model predictions are compared to testing data for the formation of nitroso-4-phenyl piperidine in a model drug product. Additionally, comparison of the model predictions to product testing data for two Nitrosamine Drug Substance Related Impurities (NDSRIs), a nitrosated β-blocker and the nitrosamine of a dialkylamine related substance impurity, further confirm the tendency of the model to overpredict. These results demonstrate that the conservative model has utility in the context of a drug product nitrosamine risk assessment. Extension of the model to consider competing nitrosation reactions occurring within a drug product is discussed alongside the impact of reactant availability on the predicted rate of nitrosation.

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Incredible readout from this research:

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Thank you for providing a free link to the entire article - I had seen a link to paid version, but hadn’t requested it so far.

There’s an awful lot in this to take in, but looks very interesting.

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Thanks a lot @Yosukemino,

After the ground-breaking paper from Ashworth et al in 2021 related to liquid mediums, this subsequent paper related to solid forms was known to be in preparation and now is finally available! Conversion factors were always difficult to obtain and needed high efforts on the experimental side (as also mentioned in the paper).

I would definitely recommend as long as it is possible, for anybody to look and implement this models in their risk assessment process and of course give the paper the well deserved recognition and a full read.

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Very interesting. Maybe I missed it, but I wonder if the worst case nitrite level was not used and if we estimated that 30% of the nitrite in the formulation would react, if the predicted results would be much closer to the experimental results.

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