Application of advanced high resolution mass spectrometric techniques for the analysis of losartan potassium regarding known and unknown impurities

Copyright © 2024 Elsevier B.V. All rights reserved..

Recalls of medicinal products can cause supply bottlenecks. This is often due to the findings of unexpected impurities that pose a health risk to patients. A recent example is losartan potassium which was contaminated with azido-impurities. The choice of the analytical method determines which substances can be detected and thus controlled. In this study a combination of an untargeted screening approach for impurities and a targeted evaluation of high-resolution mass spectrometry data was applied to search for impurities not described so far, leaving out a precise quantification. Six losartan potassium samples were studied regarding known and unknown impurities and hence highlight the applicability and capability of the approach. For separation a Zorbax RR StableBond C18 column (3.0 ×100 mm, particle size of 3.5 µm, pore size of 80 Å), a gradient elution and an electrospray ionization in positive and negative mode for mass spectrometric detection was used. An information-dependent acquisition method was applied for the measurement of losartan potassium samples. The untargeted data evaluation using general unknown comparative screening revealed the presence of N-methyl-2-pyrrolidone (NMP) and another impurity from synthesis. The identity of NMP was corroborated by a spiking experiment and the amount was estimated by means of standard addition. A targeted data evaluation by generating extracted ion chromatograms resulted in finding of four additional impurities. Combined approaches like this are needed to detect and respond to changes in the quality of drugs precociously.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:240

Enthalten in:

Journal of pharmaceutical and biomedical analysis - 240(2024) vom: 15. Feb., Seite 115955

Sprache:

Englisch

Beteiligte Personen:

Backer, Laura [VerfasserIn]
Buschmann, Helmut [VerfasserIn]
Kinzig, Martina [VerfasserIn]
Sörgel, Fritz [VerfasserIn]
Scherf-Clavel, Oliver [VerfasserIn]
Holzgrabe, Ulrike [VerfasserIn]

Links:

Volltext

Themen:

General unknown comparative screening
Information dependent acquisition
JMS50MPO89
Journal Article
Losartan
Losartan potassium
Unknown impurity

Anmerkungen:

Date Completed 21.02.2024

Date Revised 21.02.2024

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.jpba.2023.115955

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM366894730