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8th CONFERENCE OF THE CZECH SOCIETY FOR MASS SPECTROMETRY - BOOK OF ABSTRACTS

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Summary

Significance of Mass Spectrometry Advances in Analytical Chemistry

Mass spectrometry has evolved into a cornerstone in modern analytical chemistry, underpinning breakthroughs in metabolomics, proteomics, environmental analysis, and pharmaceutical research. Its capacity for sensitive detection and structural elucidation of compounds accelerates biomarker discovery, drug development, and forensic investigations.

Objectives and Study Overview

The Eighth Annual Conference of the Czech Society for Mass Spectrometry convened leading researchers to share innovations in sample preparation, ionization, separation, instrumentation, and data analysis. Key themes included:
  • Novel ion sources and interfaces for GC/MS and LC/MS.
  • High-throughput approaches in metabolomics and proteomics.
  • Integration of ion mobility and high-resolution mass analyzers.
  • Software tools for in silico spectral interpretation, molecular networking, and workflow automation.
  • Applications in clinical diagnostics, food safety, environmental monitoring, and cultural heritage studies.

Methodology and Instrumentation

Presentations highlighted:
  • Advances in ASAP (Atmospheric Solids Analysis Probe) and SIFT-MS for direct sample analysis.
  • Comparative studies of GC/MS-APCI ion sources and fast GC/SIFT-MS for volatile profiling.
  • Innovative sample workflows combining laser microdissection, MALDI-TOF MS, nLC-MS/MS, and SPE-LC/MS/MS.
  • Implementation of ion mobility (TIMS, UDMSE) and Fourier-transform ion cyclotron resonance (FT-ICR) for conformational and top-down analyses.
  • Use of open-source and vendor-supplied software (GNPS, Sirius, CSI:FingerID, Galaxy) for data processing, molecular networking, and automated workflows.

Main Results and Discussion

Key findings included:
  • Successful direct detection of oils in art binders and fire accelerants by ASAP-MS.
  • Region-specific alterations in brain gangliosides and urinary biomarkers in inherited metabolic disorders via targeted SRM and untargeted HRMS/MS.
  • Discovery of novel anti-HIV small-molecule interactions and cross-linking strategies using native ESI-MS and ion mobility.
  • Proteomic profiling of cancer, infection, and stress-related pathways, revealing candidate biomarkers for Q fever, apoptosis, and sepsis.
  • Enhanced specificity in phosphopeptide enrichment using TiO2 nanotubes and magnetic nanomaterials.
  • Automated molecular networking (GNPS) and machine learning-driven workflows improved untargeted metabolomic annotation and reproducibility.

Benefits and Practical Applications

The covered methods enable:
  • Rapid on-site screening of pollutants, volatiles, and cultural heritage samples with minimal preparation.
  • High-throughput clinical assays for newborn screening, oxidative stress markers, and proteomic biomarkers in biofluids and tissues.
  • Robust workflows for phosphoproteomics and cross-linking studies to probe protein structure and interactions.
  • Integration of gas-phase ion mobility and top-down sequencing for mapping higher-order protein conformations and modifications.

Future Trends and Applications

Emerging directions include:
  • Wider adoption of continuous molecular networking platforms for cross-study metabolome comparisons.
  • Enhanced automation and FAIR workflows for reproducible, high-throughput proteomic and metabolomic pipelines.
  • Miniaturized, ambient-pressure MS sources for in situ analysis in clinical and field settings.
  • Integration of AI-driven annotation tools and cloud-based repositories for community-driven spectral curation.

Conclusion

The conference underscored the rapid evolution of mass spectrometry technologies and bioinformatic tools, driving new frontiers in analytical chemistry. Advances in direct ionization, separation, and data analysis now enable comprehensive, high-throughput workflows across diverse fields—from microbiome research and disease diagnostics to environmental monitoring and art conservation.

References

1. Wang M. et al.: Nat. Biotech. 34(8), 828–837 (2016).
2. Palmblad M. et al.: Bioinformatics 35(4), 656–664 (2019).
3. McEwen C.N. et al.: Anal. Chem. 77, 7826–7831 (2005).
4. Duhrkop K. et al.: Proc. Natl. Acad. Sci. USA 112(41), 12580–12585 (2015).

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