EconPapers    
Economics at your fingertips  
 

Metabolic Profiling of Metoprolol via HPLC Coupled with ESI - QqQLIT Mass Spectrometry

Krenaida Taraj Lulja and Mary Mrad - Hage
Additional contact information
Krenaida Taraj Lulja: University of Applied sciences
Mary Mrad - Hage: International school of Frankfurt - SABIS network

Technium BioChemMed: Journal of Multidisciplinary Research, Biology, Chemistry and Medicine ISSN 2734 - 7990, 2025, vol. 13, 72-92

Abstract: Metoprolol, a selective β₁-adrenergic antagonist, is widely prescribed for the treatment of hypertension and heart failure due to its proven mortality benefits. With the expected rise in cardiovascular diseases, understanding the metabolic fate of metoprolol is crucial for assessing its safety, efficacy, and pharmacokinetics. This study aimed to elucidate the in vitro metabolic pathways of metoprolol using High-Performance Liquid Chromatography coupled with Electrospray Ionization and hybrid Triple Quadrupole–Linear Ion Trap Mass Spectrometry (HPLC-ESI-QqQLIT-MS). Metabolism was simulated using in vitro systems, and metabolite identification was achieved through analysis of fragmentation patterns. The fragmentation pathway of metoprolol was first determined using Enhanced Product Ion (EPI) and MS³ spectra, supported by high-resolution mass spectrometry (HRMS) data. Subsequent identification of unknown metabolites relied on comparison with the parent drug’s fragmentation pattern, assuming structural similarity leads to analogous fragmentation behavior. Precursor Ion Scans (PI) and Neutral Loss Scans (NL), along with Data-Dependent Acquisition (DDA), enabled targeted detection and structural reconstruction of metabolites. A total of 29 product ions were identified in the collision-induced dissociation (CID) pathway of metoprolol. From these, 27 structures were proposed, revealing typical neutral losses of water, ammonia, propylene, and methanol. Identified metabolites included O-demethylmetoprolol (TP 1, m/z 254), three isomers of α-hydroxymetoprolol (TP 2a–2c, m/z 284), and metoprolol acid (TP 3, m/z 268). The findings demonstrate that HPLC-ESI-QqQLIT-MS, in combination with precursor and neutral loss scanning, is a robust and efficient technique for metabolite profiling and structural elucidation.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://techniumscience.com/index.php/biochemmed/article/view/12710 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:tec:bioche:ojs:12710

DOI: 10.47577/biochemmed.v13i.12710

Access Statistics for this article

Technium BioChemMed: Journal of Multidisciplinary Research, Biology, Chemistry and Medicine ISSN 2734 - 7990 is currently edited by Anna Maria Golita

More articles in Technium BioChemMed: Journal of Multidisciplinary Research, Biology, Chemistry and Medicine ISSN 2734 - 7990 from Technium Science
Bibliographic data for series maintained by Anna Maria Golita ().

 
Page updated 2026-10-16
Handle: RePEc:tec:bioche:ojs:12710