Evidence map›Paper›PMID 40205665›Full record

ArticleJournal of separation science2025

Enantioseparation of Mirabegron Using Cyclodextrin-based Chiral Columns: High-performance Liquid Chromatography and Molecular Modeling Study.

Ali Mhammad, Gergely Dombi, Máté Dobó, Zoltán-István Szabó, Béla Fiser, Gergő Tóth

Abstract read
In one paragraph

Article in Journal of separation science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

6 authors.

Ali MhammadDepartment of Pharmaceutical Chemistry, Semmelweis University, Budapest, Hungary.
Gergely DombiDepartment of Pharmaceutical Chemistry, Semmelweis University, Budapest, Hungary.
Máté DobóDepartment of Pharmaceutical Chemistry, Semmelweis University, Budapest, Hungary.
Zoltán-István SzabóGeorge Emil Palade University of Medicine, Pharmacy, Science, and Technology of Targu Mures, Targu Mures, Romania.
Béla FiserInstitute of Chemistry, University of Miskolc, Miskolc, Hungary.
Gergő TóthDepartment of Pharmaceutical Chemistry, Semmelweis University, Budapest, Hungary.

Funding

János Bolyai Research Scholarship of the Hungarian Academy of SciencesNational Research, Development, and Innovation FundNational Research, Development, and Innovation Office, Hungary 146930
6 · The paper itself

Abstract

A novel high-performance liquid chromatography method for the enantioseparation of mirabegron (R-mirabegron), a selective β-3 adrenergic receptor agonist, using cyclodextrin (CD)-based chiral stationary phases (CSPs) was developed. Seven different CSPs containing β-, γ-, hydroxypropyl-β-, sulfobutyl-β-, carboxymethyl-β-, permethyl-β-, and phenylcarbamate-β-cyclodextrin were evaluated under both polar organic and reversed-phase conditions. Only the phenylcarbamate-β-cyclodextrin containing the Chiral CD-Ph column displayed enantiorecognition. Optimization of conditions using a full factorial design led to the determination of the most suitable conditions: a mobile phase composition of 90:10:0.1 methanol:water:diethylamine, a flow rate of 0.8 mL/min, and a column temperature of 40°C with enantiomeric elution order, where the impurity S-mirabegron elutes first. Using the optimized conditions, enantioseparation with R

Indexed as

AcetanilidesCyclodextrinsThiazolesChromatography, High Pressure LiquidModels, MolecularMolecular StructureStereoisomerismAcetanilidesCyclodextrinsmirabegronThiazolesBetmigachiral recognitionchiral separationcyclodextrinmirabegron

Identifiers

PMID40205665
PMCPMC11982617

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.