Evidence map›Paper›PMID 42326850›Full record

ArticleACS measurement science au2026

Graphical Visualization Approach for Two-Dimensional Liquid Chromatography with Parallel Column Arrays.

Deklin Parker, Samuel W Foster, Tina Dahlseid, Dwight R Stoll, James P Grinias

Abstract read
In one paragraph

Article in ACS measurement science au, 2026. 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.

Deklin ParkerDepartment of Chemistry & Biochemistry, Rowan University, Glassboro, New Jersey 08028, United States.
Samuel W FosterDepartment of Chemistry & Biochemistry, Rowan University, Glassboro, New Jersey 08028, United States.
Tina DahlseidDepartment of Chemistry, Gustavus Adolphus College, Saint Peter, Minnesota 56082, United States.
Dwight R StollDepartment of Chemistry, Gustavus Adolphus College, Saint Peter, Minnesota 56082, United States.ORCID https://orcid.org/0000-0002-4070-9132
James P GriniasDepartment of Chemistry & Biochemistry, Rowan University, Glassboro, New Jersey 08028, United States.ORCID https://orcid.org/0000-0001-9872-9630

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Two-dimensional liquid chromatography (2D-LC) is one of the highest-resolution techniques available to chromatographers for the separation of analytes in complex mixtures. However, data analysis and data visualization remain challenging, especially for home-built systems that do not utilize commercial software packages. Even these packages are not capable of effectively displaying data generated from systems where multiple columns are used for the second-dimension separation. Here, an open-source software package with a graphical user interface used to plot and characterize 2D-LC data is described. In addition to plotting imported data, a 2D-LC simulator is included to generate both 1D and 2D chromatograms. The HSV (hue, saturation, value) color wheel is used to combine multiple 2D-LC contour plots into a single graphic, creating a new visualization strategy for 2D-LC systems in which multiple columns are used sequentially or in parallel column arrays in the second dimension. Use of the package for both experimental and random simulated data is presented as a demonstration of its capabilities.

Indexed as

2D-LCData VisualizationMultidimensional ChromatographyParallel Column ArraysPython

Identifiers

PMID42326850
PMCPMC13281194

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.