Evidence map›Paper›PMID 42685267›Full record

ArticleBriefings in bioinformatics2026

Evaluation of peak alignment performance of commercial and open-source tools for GC×GC-MS based non-targeted screening.

Andriy Rebryk, Denice van Herwerden, Saer Samanipour, Peter Haglund

Abstract read
In one paragraph

Article in Briefings in bioinformatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Andriy RebrykDepartment of Chemistry, Chemical Biological Centre (KBC), Umeå University, Linnaeus väg 6, 901 87 Umeå, Sweden.ORCID 0000-0002-0090-809X
Denice van HerwerdenVan 't Hoff Institute for Molecular Sciences (HIMS), University of Amsterdam, 1090 GD Amsterdam, The Netherlands.
Saer SamanipourVan 't Hoff Institute for Molecular Sciences (HIMS), University of Amsterdam, 1090 GD Amsterdam, The Netherlands.
Peter HaglundDepartment of Chemistry, Chemical Biological Centre (KBC), Umeå University, Linnaeus väg 6, 901 87 Umeå, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Comprehensive two-dimensional gas chromatography-mass spectrometry (GC × GC-MS) is a powerful tool for analysing complex mixtures, but its wide use is limited by the lack of robust and transparent inter-sample peak alignment workflows. Commercial solutions often rely on proprietary algorithms, while user-friendly open-source alternatives remain scarce. Here, we introduce jAligner4GCxGC, a new open-access Julia package for inter-sample GC × GC-MS peak alignment and benchmark its performance within practical GC × GC-MS data processing workflows against Guineu (open-source) and ChromaTOF Sync 2D (commercial). The package performs data preprocessing, alignment, and postprocessing including feature merging, library searching, and compound data retrieval. Three indoor dust samples, including certified reference material, were spiked with >150 reference compounds at concentrations of 0.5, 5.0, and 50 pg/μl and analysed using workflows optimized for each application. Performance was evaluated based on recovery of correctly aligned spiked compounds and workflow processing time. Because the software packages differ in peak detection and preprocessing, comparisons involving Sync 2D should be interpreted at workflow rather than alignment algorithm level. At 50 pg/μl, Guineu and jAligner4GCxGC detected 94% and 92% of compounds, respectively, outperforming Sync 2D (82%). At 5 and 0.5 pg/μl, Sync 2D detected the highest proportions (79% and 71%), whereas Guineu and jAligner4GCxGC performed identically (68% and 33%). Alignment-related processing required seconds for Guineu, 4 min for jAligner4GCxGC, and 9 min for Sync 2D. However, Sync 2D provided the quickest end-to-end workflow. These results highlight practical trade-offs between commercial and open-source workflows and demonstrate that jAligner4GCxGC provides a transparent and reproducible solution for GC × GC-MS peak alignment.

Indexed as

Gas Chromatography-Mass SpectrometrySoftwareAlgorithmsWorkflowGC × GC–MShouse dustinter-sample peak alignmentJulia programming languagenon-target screeningopen-source software

Identifiers

PMID42685267
PMCPMC13537445

What OpenQuestion holds

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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.