Evidence map›Paper›PMID 42112711›Full record

ArticleJournal of separation science2026

A Protocol for Characterizing Comprehensive Two-Dimensional Liquid Chromatography Systems.

Megane K Aebischer, Marie Pardon, Clémence Gadot, Katia Arena, Niklas Carstensen, Michael Laemmerhofer, Paola Dugo, Francesco Cacciola, Luigi Mondello, Morgan Sarrut and 3 more

Abstract read
In one paragraph

Article in Journal of separation science, 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

13 authors.

Megane K AebischerSchool of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland.
Marie PardonLaboratory for Pharmaceutical Analysis, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium.
Clémence GadotSyensqo Lyon Research and Innovation Center, Lyon, France.
Katia ArenaMessina Institute of Technology c/o Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Messina, Italy.
Niklas CarstensenInstitute of Pharmaceutical Sciences, Pharmaceutical (Bio-)Analysis, University of Tübingen, Tübingen, Germany.
Michael LaemmerhoferInstitute of Pharmaceutical Sciences, Pharmaceutical (Bio-)Analysis, University of Tübingen, Tübingen, Germany.
Paola DugoMessina Institute of Technology c/o Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Messina, Italy.
Francesco CacciolaMessina Institute of Technology c/o Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Messina, Italy.
Luigi MondelloMessina Institute of Technology c/o Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Messina, Italy.
Morgan SarrutSyensqo Lyon Research and Innovation Center, Lyon, France.
Deirdre CabooterLaboratory for Pharmaceutical Analysis, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium.
Sabine HeinischInstitut des Sciences Analytiques, Université De Lyon, Lyon, France.
Davy GuillarmeSchool of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Comprehensive two-dimensional liquid chromatography (LC × LC) is an effective strategy to increase peak capacity and improve separation performance for complex samples, offering a valuable alternative to conventional one-dimensional liquid chromatography (1D-LC). However, LC × LC method development and optimization remain challenging due to the interconnection of numerous parameters within and between dimensions. Both thermodynamic factors (e.g., stationary phase, mobile phase, temperature) and kinetic factors (e.g., gradient profile, sampling rate, column geometry, flow rates) strongly influence the analytical performance. To achieve effective method optimization, two-dimensional liquid chromatography (2D-LC) instrumentation-related parameters must first be characterized, as they directly influence both method development and overall performance. In this work, we propose a practical guide (protocol) for comprehensive 2D-LC system characterization. For clarity and ease of implementation, all calculations associated with this protocol can be performed using the Characterization module of the 2D-LC Smart Calculator software, freely accessible online. The protocol usability was validated through inter-laboratory testing. The impact of instrumental features on LC × LC performance was then assessed by in silico evaluation of the theoretical LC × LC performance of the characterized systems. The results clearly demonstrate the benefits of the proposed protocol, emphasizing the importance of system-specific characterization for reliable LC × LC implementation. In addition, practical recommendations are provided to help users optimize their instruments when certain parameters are not adapted.

Indexed as

2D‐LCbidimensional liquid chromatographycharacterizationLC × LCsystem dispersion

Identifiers

PMID42112711
PMCPMC13159402

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.