Evidence map›Paper›PMID 42104572›Full record

ArticleJournal of separation science2026

Losartan API and Nitrosamines Impurities-Stability Profile Investigation Using HPLC, LC-MS, and In Silico Assessment.

Paulo Roberto Rodrigues Martini, Lilian Fanfa Machioli, Bruno Pereira Dos Santos, Tiago Franco de Oliveira, Fávero Reisdorfer Paula, Clésio Soldateli Paim, Andreas Sebastian Loureiro Mendez

Abstract read
In one paragraph

Article in Journal of separation science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Paulo Roberto Rodrigues MartiniPostgraduation Program in Pharmaceutical Sciences, Federal University of Rio Grande Do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil.
Lilian Fanfa MachioliPostgraduation Program in Pharmaceutical Sciences, Federal University of Rio Grande Do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil.
Bruno Pereira Dos SantosPostgraduation Program in Health Sciences, Federal University of Health Sciences of Porto Alegre (UFCSPA), Porto Alegre, Rio Grande do Sul, Brazil.
Tiago Franco de OliveiraPostgraduation Program in Health Sciences, Federal University of Health Sciences of Porto Alegre (UFCSPA), Porto Alegre, Rio Grande do Sul, Brazil.
Fávero Reisdorfer PaulaPostgraduation Program in Pharmaceutical Sciences, Federal University of Pampa (UNIPAMPA), Uruguaiana, Rio Grande do Sul, Brazil.
Clésio Soldateli PaimPostgraduation Program in Pharmaceutical Sciences, Federal University of Pampa (UNIPAMPA), Uruguaiana, Rio Grande do Sul, Brazil.
Andreas Sebastian Loureiro MendezPostgraduation Program in Pharmaceutical Sciences, Federal University of Rio Grande Do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil.

Funding

Brazilian National Council for Scientific and Technological Development (CNPq) 302223/2025-8Conselho Nacional de Desenvolvimento Científico e Tecnológico
6 · The paper itself

Abstract

Nitrosamines are potent genotoxic impurities with well reported mutagenic and carcinogenic effects. Their presence has been detected in several pharmaceutical products among them losartan, an angiotensin II receptor blocker. Considering the risks already reported for these impurities, the present study aimed to investigate the influence of four common nitrosamines-N-nitrosodimethylamine (NDMA), N-nitrosodiethylamine (NDEA), N-nitrosodiisopropylamine (NDIPA), and N-nitrosodibutylamine (NDBA)-in the stability profile of losartan API. Quantitative assay was conducted through HPLC and LC-MS, with focus on monitoring degradation rate and degradation products under influence of nitrosamines. Predictive data by in silico investigation employing Zeneth Nexus and Spartan were simultaneously studied, considering degradation products, fragmentation pathway and nitrosamines reactivity. The drug residual content showed variability depending on the nitrosamine evaluated and the stressing condition applied. From photolysis, for example the residual content ranged 80%-90%, with a greater decomposition in samples containing nitrosamines. A greater decomposition was also observed in oxidative degradation, with exception for samples containing NDMA. Acid and basic media caused a significant decomposition, with the residual losartan content in a range of 41%-52% and 28%-51%, respectively. From LC-MS analyzes, these impurities were mostly not detected in the degraded samples, suggesting their consumption during the reaction due to their reactivity. A protective effect from nitrosamines can be also reported possibly due to their reactivity against the stressing factor. Seven degradation products were structurally proposed by LC-MS at m/z 449, m/z 447, m/z 366, m/z 338, m/z 274, m/z 391, and m/z 341, some of them predicted computationally by Zeneth.

Indexed as

Drug ContaminationLosartanNitrosaminesChromatography, High Pressure LiquidComputer SimulationDrug StabilityLiquid Chromatography-Mass SpectrometryMass SpectrometryLosartanNitrosaminesdegradation productsHPLCin silico modelingLC‐MSlosartannitrosaminesstability

Identifiers

PMID42104572
PMCPMC13156427

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.