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Sample Filtration Impact on LC Column Lifetime

Posters | 2013 | Agilent Technologies | PittconInstrumentation
Sample Preparation, Consumables, LC columns
Industries
Manufacturer
Agilent Technologies

Summary

Importance of the Topic


Particle contamination in liquid chromatography samples is a primary cause of column plugging, leading to increased backpressure, loss of separation efficiency and premature column failure. This issue is magnified when using sub-2 micron particle columns under ultrahigh pressure conditions. Effective sample filtration is therefore critical to protect columns, reduce downtime and ensure reliable analytical performance.

Objectives and Study Overview


This study aimed to quantify the impact of sample filtration on the operational lifetime of UHPLC and HPLC columns. Two main sample types were evaluated: suspensions of latex beads at two particle size ranges and protein-precipitated human plasma extracts. The investigations compared unfiltered samples, samples processed by simple centrifugation and samples filtered through membranes of varying pore size and composition.

Methodology and Instrumentation


Filtration efficiency tests were conducted using 0.2 µm and 0.45 µm syringe filters made of nylon, regenerated cellulose, PTFE, PES and glass fiber/nylon media. Latex bead solutions (0.05 % w/v) were passed through each filter type and the filtrate analyzed by HPLC with UV detection at 272 nm. Column lifetime tests involved continuous injections of filtered or unfiltered samples into:
  • A UHPLC system with a 2.1 × 50 mm, 1.8 µm RRHD C18 column (pressure limit 1000 bar)
  • An HPLC system with a 3.0 × 50 mm, 2.7 µm Poroshell 120 EC-C18 column (pressure limit 500 bar)
Chromatographic conditions were isocratic with an acetonitrile:water mobile phase (35:65) at flow rates of 0.4 mL/min (UHPLC) or 1.0 mL/min (HPLC). Plasma extracts were similarly tested on the sub-2 micron RRHD column.

Used Instrumentation


  • Agilent 1290 Infinity LC System (UHPLC)
  • Agilent 1200 SL Series (HPLC)
  • Agilent ZORBAX RRHD Eclipse Plus C18, 2.1 × 50 mm, 1.8 µm
  • Agilent Poroshell 120 EC-C18 Solvent Saver, 3.0 × 50 mm, 2.7 µm
  • Agilent Premium syringe filters (0.2 µm and 0.45 µm, various materials)
  • Diode array detector set at 272 nm

Main Results and Discussion


Filtration trials demonstrated that premium syringe filters achieved average particle removal efficiencies above 90 % for both pore sizes, with nylon and regenerated cellulose variants often exceeding 98 %. In column lifetime tests, unfiltered bead suspensions rapidly increased backpressure, causing column failure within a few hundred injections. In contrast, filtration extended the usable injections to 700–1000 cycles before reaching pressure limits. For plasma extracts, simple centrifugation provided modest protection, but membrane filtration delayed backpressure rise most effectively, preserving column performance over hundreds of injections.

Benefits and Practical Applications of the Method


  • Significant extension of LC column service life by blocking particulates
  • Reduced frequency of instrument downtime and maintenance
  • Improved data consistency and method robustness for high-throughput labs
  • Applicability to diverse sample types, including biological matrices

Future Trends and Possibilities


Emerging sample-preparation technologies may integrate inline microfiltration and automated filter change modules for continuous operation. Advanced filter materials with higher throughput and chemical compatibility will further minimize sample loss and matrix effects. Coupling real-time particle detection with feedback control could optimize filter replacement cycles and prolong column lifespan in routine workflows.

Conclusion


This work confirms that appropriate sample filtration is a simple yet powerful strategy to protect LC columns, especially those packed with small particles. By selecting suitable filter pore size and material, laboratories can achieve consistent particulate removal, extend column lifetime by several times and improve overall method reliability.

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