ISC 2022: BOOK OF ABSTRACTS

Significance of Advanced Chromatography

Analytical science is driven by the need to separate ever-more complex mixtures ranging from environmental pollutants to biological macromolecules. Modern chromatographic strategies—spatial, multidimensional, and miniaturized formats—unlock resolution and sensitivity levels that conventional one-dimensional methods cannot reach. Integrating novel stationary phases, hybrid flow systems, and data-guided automation is now essential to meet demands in lipidomics, proteomics, pharmaceutical analysis, and environmental monitoring.

Goals and Overview of ISC 2022

ISC 2022 convened leading experts to present recent advances in separation science. Key topics included high-resolution gas and liquid chromatography, supercritical fluid techniques, emerging sorbent technologies, and the integration of microfluidics, mass spectrometry, and chemometric models. The symposium emphasized translating fundamental retention and mass-transfer insights into robust, scalable methods for real-world applications.

Major Themes and Technological Advances

• Comprehensive Gas Chromatography: Cryogenic and longitudinal modulation, hybrid GC×GC approaches, short-column formats for sub-minute separations, and advances in thermal-gradient GC.
• Multidimensional Liquid Chromatography: Stationary-phase-assisted modulation (SPAM), retention-modelling workflows, closed-loop QbD method development, and emerging 3D-LC concepts.
• Hydrophilic Interaction and Supercritical Fluid Chromatography: Performance of zwitterionic, amide, and polymeric HILIC phases, buffer and modifier effects on retention, and SFC for chiral and rapid analyses.
• Chiral Separations: Novel selectors including cyclofructans, crown ethers, polysaccharide derivatives, and high-throughput automated screening of chiral column sets.
• Detection and Data Analytics: Universal detectors such as charged aerosol, advanced spectroscopic hyphenations (APCI, APPI, APLI, LTP), Self-Organizing Maps for HPTLC fingerprinting, and machine-learning assisted method optimization.
• Applications in ‘Omics and Pharmaceuticals: UHPSFC/MS in lipidomic biomarker discovery, automated LC-MS sequencing of mRNA, IMER microreactors for proteomics, HILIC-LC retention index modelling, and GC-FID assays for drug conjugates.
• Green and Miniaturized Approaches: On-column inertization, vacuum-jacketed capillaries, DES-based GC columns, ASAP direct analysis, and microfluidic preconcentration systems.
• Field and Clinical Use Cases: Online SPE-LC-MS/MS for water-borne contaminants, HPTLC-MS effect-directed natural product isolation, in situ aerosol profiling, and trace-level oligonucleotide quantitation in biological matrices.

Outlook and Future Directions

Building on these advances, the community is moving toward fully automated, AI-driven platforms that optimize separation conditions in real time. Integration of orthogonal detectors and refinements in stationary-phase design will continue to enhance selectivity and throughput. Future trends include on-site 3D-LC systems, universal detection schemes compatible with green solvents, and deep-learning retention modelling—ushering in a new era of precision separations across environmental, clinical, and industrial domains.