Evidence map›Paper›PMID 41696265›Full record

ReviewACS omega2026

CFD Mechanistic Modeling of a Monolithic Chromatography System: Challenges and Opportunities.

Jamille Coelho Coimbra, Diego Martinez Prata, Raquel Nunes Fernandes, Marcio Arêdes Martins, Luis Antonio Minim

Abstract readReview
In one paragraph

Review in ACS omega, 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. 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

5 authors.

Jamille Coelho CoimbraDepartament of Chemical Engineering, Federal University of Minas Gerais, Av. Presidente Antônio Carlos 6627, Belo Horizonte, Minas Gerais 31270-901, Brazil.ORCID https://orcid.org/0000-0001-8689-8349
Diego Martinez PrataDepartment of Chemistry and Petroleum Engineering, Fluminense Federal University, Rua Passo da Pátria 156, São Domingos, Niterói, Rio de Janeiro 24210-240, Brazil.
Raquel Nunes FernandesDepartment of Technological Chemistry, Federal Institute of Espírito Santo, Avenida Vitória, 1729, Jucutuquara, Vitória, Espírito Santo 29040-780, Brazil.
Marcio Arêdes MartinsDepartment of Agricultural Engineering, Federal University of Viçosa, Av. Peter Henry Rolfs, s/n, Viçosa, Minas Gerais 36570-900, Brazil.ORCID https://orcid.org/0000-0001-5705-9431
Luis Antonio MinimDepartment of Food Technology, Federal University of Viçosa, Av. Peter Henry Rolfs, s/n, Viçosa, Minas Gerais 36570-900, Brazil.ORCID https://orcid.org/0000-0002-1584-9117

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monolithic chromatographic supports are part of the fourth generation of chromatographic separation media. A comprehensive knowledge of the transport phenomena described by mechanistic models is important for the purposes of project design for meeting regulatory requirements and optimizing production. Although geometric characteristics influence monolithic support properties, few approaches have incorporated morphology details into the models. Thus, there is a gap for new model developments in complex porous matrices, which may be alternatives to the more classic phenomenological approaches. This review differs from those previously published by demonstrating the utilization of computer-aided engineering to enhance the construction and modification of channel microstructures for the purpose of achieving more effective separation, integrating mathematical models, and constructing porous geometries. This work presents the status quo evolution of mathematical models and also presents the trends, challenges, and opportunities.

Identifiers

PMID41696265
PMCPMC12903029

What OpenQuestion 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 OpenQuestion graph.