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TWO-DIMENSIONAL LIQUID CHROMATOGRAPHY - PRINCIPLES, PRACTICAL IMPLEMENTATION AND APPLICATIONS

Guides | 2015 | Agilent TechnologiesInstrumentation
2D-LC
Industries
Manufacturer
Agilent Technologies

Summary

Significance of the Topic


Two-dimensional liquid chromatography (2D-LC) delivers a dramatic increase in resolving power over conventional one-dimensional LC, enabling analysis of highly complex samples in proteomics, metabolomics, polymer characterization and pharmaceutical impurity profiling. Advances in sub-2 µm and superficially porous particles, ultrahigh-pressure pumps with low gradient delay volumes, and elevated-temperature operation have reduced comprehensive 2D-LC run times to under an hour, making it accessible for demanding applications.

Study Objectives and Overview


This primer reviews the principles and practice of comprehensive (LC×LC) and heart-cutting 2D-LC, focusing on:
  • The theoretical basis of peak-capacity enhancement and the product rule
  • Correction factors for undersampling and limited separation space
  • Practical guidelines for instrument configuration and method development
  • Representative applications across pharmaceuticals, natural products, foods and biopharmaceuticals

Methodology and Instrumentation


Key practical elements include:
  • Pumps: gradient delay volumes < 100 µL and pressures up to 1200 bar with flow rates of 1–3 mL/min in the second dimension
  • Columns: short (30–50 mm), narrow (2.1 mm id) columns packed with sub-2 µm or core-shell particles at elevated temperatures (40–100 °C)
  • Valves: symmetric 2-position/4-port designs to avoid retention-time shifts
  • Loops: sample volumes sized to balance dilution against undersampling (≥ 3 cuts per 4σ 1D peak width)
  • Gradients: linear and shifting profiles to maximize 2D space coverage
  • Detection: UV/DAD at ≥ 40 Hz or MS with low-dead-volume interfaces

Main Results and Discussion


  • Theoretical analysis shows a 10-fold increase in peak capacity in 15–30 min for online LC×LC versus optimized 1D gradients
  • Undersampling and limited orthogonality reduce ideal capacity; correction factors guide cycle-time optimization
  • Optimal second-dimension cycle times (10–15 s) maximize effective peak capacity by balancing gradient time and flush-out delays
  • Gradient optimization using Poppe plots demonstrates co-variation of column length and flow rate under constant pressure

Benefits and Practical Applications


Applications include:
  • Taxane profiling in plant extracts by RP×RP LC×LC-MS
  • Citrus furocoumarin analysis by NP×RP LC×LC
  • mAb peptide mapping by SCX×RP and HILIC×RP LC×LC-DAD-QTOF
  • Pharmaceutical impurity heart-cutting 2D-LC
  • Polyphenol and antioxidant profiling in beverages and olive oils by RP×RP shifted gradients
  • Surfactant class separation by HILIC×RP with ELSD
  • Beer fingerprinting via SEC×RP, IEX×RP and RP×RP

Future Trends and Potential Uses


  • Ultrafast LC×LC in under 10 min using UHPLC at elevated temperature
  • Trilinear chemometric methods (PARAFAC, GRAM) for deconvolution of co-eluting peaks in LC×LC-DAD and MS datasets
  • Generic RP×RP workflows with gradient shifting for routine QC assays
  • Integration with LC×GC and LC×CE for specialized analyses
  • Automated software for 2D baseline correction, peak detection and quantitation

Conclusion


Modern 2D-LC techniques offer unmatched separation power for complex analyses. Comprehensive LC×LC methods now achieve peak capacities far exceeding optimized 1D within similar or shorter run times. Ongoing developments in columns, pumps and data analysis will drive wider adoption of 2D-LC as a routine tool in research and quality control.

References


Key citations:
  • Huang, Y. et al., Anal. Chem. 2011 – Study of sampling time effects in online LC×LC
  • Stoll, D.R. et al., Anal. Chem. 2008 – Comparison of 1D and 2D resolving power
  • Snyder, L.R. & Dolan, J.W., Anal. Chem. 2007 – Hydrophobic Subtraction Model
  • Filgueira, M.R. et al., Anal. Chem. 2012 – Orthogonal background correction for 2D-LC
  • Schure, M.R. et al., Anal. Chem. 1999 – Sampling and detection limits in multidimensional separations

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