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Dispersant-First Dispersive Liquid-Liquid Microextraction (DF-DLLME), a Novel Sample Preparation Procedure for NDMA Determination in Metformin Products.
- Source :
-
Journal of Pharmaceutical Sciences . Sep2023, Vol. 112 Issue 9, p2453-2462. 10p. - Publication Year :
- 2023
-
Abstract
- Since December 2019, global batch recalls of metformin pharmaceutical products have highlighted an urgent need to control N -nitrosodimethylamine (NDMA) contamination to demonstrate patient safety and maintain supply of this essential medicine. Due to their formulation, the metformin extended-release products present difficult analytical challenges for conventional sample preparation procedures, such as artefactual (in-situ) NDMA formation, gelling, and precipitation. To overcome these challenges, a new version of dispersive liquid-liquid microextraction (DLLME) termed dispersant-first DLLME (DF-DLLME) was developed and optimized for the analysis of NDMA in metformin extended-release products using a detailed Design of Experiments (DoE) to optimize sample preparation. Gas chromatography-high resolution accurate mass-mass spectrometry (GC-HRAM-MS) combined with automated DF-DLLME were successfully applied to monitor the NDMA levels of two different metformin extended-release AstraZeneca products to ultra-trace levels (parts per billion). The additional benefits associated with DF-DLLME, which include automation, time/costs saving, and greener sample preparation, make this novel technique easier to transfer from a development to Quality Control (QC) environment. In addition, this also offers an attractive candidate for the wider platform analysis of N -nitrosamines in pharmaceutical drug products. [ABSTRACT FROM AUTHOR]
- Subjects :
- *SAMPLING (Process)
*METFORMIN
*DRUGS
*QUALITY control
*PATIENT safety
Subjects
Details
- Language :
- English
- ISSN :
- 00223549
- Volume :
- 112
- Issue :
- 9
- Database :
- Academic Search Index
- Journal :
- Journal of Pharmaceutical Sciences
- Publication Type :
- Academic Journal
- Accession number :
- 169813773
- Full Text :
- https://doi.org/10.1016/j.xphs.2023.03.016