Evidence map›Paper›PMID 40807393›Full record

ReviewMolecules (Basel, Switzerland)2025

Unveiling the Power of Computational Tools in Chiral Liquid Chromatography.

Rita Lima, Rui P P Neves, Pedro A Fernandes, Artur M S Silva, Carla Fernandes

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Rita LimaLaboratório de Química Orgânica e Farmacêutica, Departamento de Ciências Químicas, Faculdade de Farmácia, Universidade do Porto, Rua Jorge Viterbo Ferreira, 228, 4050-313 Porto, Portugal.ORCID 0000-0001-5222-6077
Rui P P NevesLAQV, REQUIMTE, Departamento de Química e Bioquímica, Faculdade de Ciências, Universidade do Porto, Rua do Campo Alegre, s/n, 4169-007 Porto, Portugal.ORCID 0000-0003-2032-9308
Pedro A FernandesLAQV, REQUIMTE, Departamento de Química e Bioquímica, Faculdade de Ciências, Universidade do Porto, Rua do Campo Alegre, s/n, 4169-007 Porto, Portugal.ORCID 0000-0003-2748-4722
Artur M S SilvaLAQV, REQUIMTE, Departamento de Química, Universidade de Aveiro, 3810-193 Aveiro, Portugal.ORCID 0000-0003-2861-8286
Carla FernandesLaboratório de Química Orgânica e Farmacêutica, Departamento de Ciências Químicas, Faculdade de Farmácia, Universidade do Porto, Rua Jorge Viterbo Ferreira, 228, 4050-313 Porto, Portugal.ORCID 0000-0003-0940-9163

Funding

Fundação para a Ciência e Tecnologia LA/P/0008/2020 DOI: https://doi.org/10.54499/LA/P/0008/2020Fundação para a Ciência e Tecnologia PTDC/CTA-AMB/0853/2021 and FCT2022.11168Fundação para a Ciência e Tecnologia Ref. 2021.00391.CEECIND/CPI662/CT003 DOI: https://doi.org/10.54499/2021.00391.CEECIND/CP1662/CT0003Fundação para a Ciência e Tecnologia UIDB/04423/2020 and UIDP/04423/2020Fundação para a Ciência e Tecnologia UIDB/50006/2020 DOI: https://doi.org/10.54499/UIDB/50006/2020Fundação para a Ciência e Tecnologia UIDP/ 50006/2020 DOI: https://doi.org/10.54499/UIDP/50006/2020
6 · The paper itself

Abstract

Chiral liquid chromatography (cLC) using chiral stationary phases (CSPs) has become a crucial technique for separating enantiomers. Understanding enantiomeric discrimination is essential for improving chromatographic conditions and elucidating chiral molecular recognition; the computational methods are extremely helpful for this. To assess the relevance of the association of these two approaches and to analyze the current trends, in this review, a systematic analysis of the scientific literature was performed, covering recently published works (from 2015 to January 2025) on enantioseparation by cLC using CSPs and computational studies. CSPs based on polysaccharides and Pirkle-type were the most described (accounting for 52% and 14% of the studies, respectively). Regarding the computational methods, molecular docking and molecular dynamics (MD) were the most reported (accounting for 50% and 25% of the studies, respectively). In the articles surveyed, a significant growth in research concerning both cLC enantioseparation and computational studies is evident, emphasizing the benefit of the synergy between these two approaches.

Indexed as

chiral liquid chromatographychiral stationary phasescomputational studiesenantioseparationmolecular modelingmolecular recognition

Identifiers

PMID40807393
PMCPMC12348580

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.