17th Multidimensional Chromatography Workshop Abstract book

Significance of the Topic

Comprehensive two-dimensional chromatographic techniques (GC×GC and 2D-LC) have revolutionized the analysis of complex chemical mixtures across industries. Their unparalleled resolving power and sensitivity enable detection and characterization of thousands of compounds that conventional one-dimensional separations cannot resolve. This capability is critical for applications ranging from petroleum and plastic recycling research to pharmaceutical quality control, environmental monitoring of PFAS, aroma profiling, and forensic investigations.

Study Objectives and Overview

This collection of studies and technical notes presents a broad survey of multidimensional chromatography methods, aiming to:

• Demonstrate how GC×GC bridges molecular insights and industrial applications in petroleum, pyrolysis oils, and recycled materials.
• Showcase 2D-LC workflows for small molecules and biologics in pharmaceutical development, including chiral/achiral analyses and peak purity assessment.
• Highlight innovative data processing and automation tools—such as tile-based Fisher ratio analysis, PARAFAC/PARAFAC2 deconvolution, alignment-free modulators, and machine learning models for MS spectrum prediction.
• Validate advanced sample preparation techniques including SPME, electromembrane-SPME, direct thermal extraction, and pyrolysis couplings.
• Illustrate niche forensic and environmental applications, such as volatile organic profiling of fermented beverages, human decomposition odor, microplastics contaminant screening, and gunshot residue analysis.

Methodology and Instrumentation

Key methodologies and instruments employed across these works include:

• GC×GC with thermal or flow modulation paired with detectors such as FID, QMS, TOF-MS, HR-MS (EI, PCI, NCI), or VUV.
• 2D-LC architectures using combinations of reversed-phase, hydrophilic interaction, ion-exchange, size-exclusion, and chiral columns in heart-cutting or comprehensive modes.
• Sample introduction and enrichment techniques: SPME/SPME-Arrow, trap-based enrichment, electromembrane extraction, direct thermal extraction, pyrolysis–GC×GC.
• Advanced software: GcDUO (R-based PARAFAC/PARAFAC2 deconvolution), 2D mzCompare for alignment-free differencing, ChromaTOF Tile for tile-based analysis, AI-driven mass spectral prediction, and web-based 2D-LC simulation tools.

Key Results and Discussion

Across these studies, multidimensional separations achieved dramatic improvements in peak capacity (up to 10×), enhanced detection limits (sub-ppt to ppb levels), and resolved co-eluting isomers and trace constituents. Machine learning-assisted spectral prediction enabled identification of unregistered metabolites and unknown odorants. Modular and cryogen-free modulators simplified GC×GC operation, while innovative SPME coatings and solvent optimizations enhanced recovery of volatile PFAS and gasoline markers. Chemometric workflows (Fisher ratio, UMAP, PCA) facilitated robust feature selection and sample classification in complex matrices.

Benefits and Practical Applications of the Method

These multidimensional approaches offer:

• Deeper molecular insights for industrial process optimization, e.g., tailoring pyrolysis conditions for plastics and fuels.
• Comprehensive impurity profiling and peak purity assurance in drug development and QC labs.
• Enhanced environmental and safety monitoring of emerging contaminants (PFAS, VOCs).
• Non-targeted forensic screening for decomposition, arson investigations, and microplastic pollution studies.
• Bridging analytical chemistry with sensory science in flavor and fragrance R&D.

Future Trends and Opportunities

Emerging directions include integration of AI and mechanistic models for streamlined method development, expanded open-source software suites for deconvolution and alignment, further miniaturization (capillary-scale 2D-LC), green carrier gases (hydrogen), and cryogen-free modulators. Cross-platform standardization and large retention databases will accelerate adoption. Applications are poised to grow in circular economy feedstock analysis, clinical breathomics, and on-site portable multidimensional instrumentation.

Conclusion

Multidimensional chromatography stands at the forefront of analytical chemistry, enabling unparalleled resolution and sensitivity for ever-more complex challenges. Continued advances in hardware, sample preparation, data processing, and AI-driven spectral interpretation will broaden its impact across science and industry.

References

[1] Lai Z., Tsugawa H., Wohlgemuth G., et al. Identifying metabolites by integrating metabolome databases with mass spectrometry cheminformatics. Nat. Methods. 2017;15(1):53–60.