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Techniques for Avoiding Unexpected Problems in LC and GC Analysis

Presentations | 2020 | Agilent TechnologiesInstrumentation
GC, Sample Preparation, Consumables, HPLC, LC/MS
Industries
Manufacturer
Agilent Technologies

Summary

Significance of the Topic


In liquid chromatography (LC) and gas chromatography (GC) analysis, sample matrix components can compromise data integrity, reduce instrument uptime, and increase operational costs. By adopting targeted sample preparation and cleanup strategies, analysts can safeguard detectors, prevent column fouling, improve sensitivity, and achieve more robust and reproducible results.

Objectives and Study Overview


This work reviews common sources of unexpected problems in LC and GC analyses arising from sample matrices and presents a range of offline and online cleanup techniques. Key aims include:
  • Identifying physical and chemical matrix effects on chromatography.
  • Comparing sample preparation approaches—from dilute-and-shoot to solid phase extraction (SPE).
  • Demonstrating performance gains using Agilent chemistries such as Captiva EMR-Lipid and Chem Elut S.
  • Highlighting future trends in automation and sorbent design.

Methodology and Instrumentation


Sample preparation workflows are categorized by specificity:
  • Dilute-and-shoot and direct injection: minimal cleanup, high throughput, but risk of interferences, ion suppression, and instrument contamination.
  • Mechanical filtration: syringe filters, filter vials, depth and membrane filters remove particulates, pigments, and proteins.
  • Targeted filtration: Captiva EMR-Lipid cartridges and plates combine protein precipitation with lipid removal via size exclusion and hydrophobic interactions, reducing ion suppression and improving peak shape.
  • Supported liquid extraction (SLE): Chem Elut S synthetic sorbent provides gravity-driven partitioning between aqueous and organic phases, yielding 87–119% recoveries with RSD <8% in GC applications.
  • Liquid–liquid extraction (LLE): traditional but labor-intensive, prone to emulsions, and variable reproducibility.
  • QuEChERS: two-step salt extraction and dispersive SPE kits (C18, PSA, GCB, EMR-Lipid) for pesticide and contaminant analysis in food matrices.
  • SPE: Bond Elut Plexa polymeric sorbents and mixed-mode variants (PCX, PAX) enable selective cleanup and concentration of acidic, basic, and neutral analytes.
  • Solid phase microextraction (SPME) fibers and arrows: headspace or direct immersion sampling for volatile and semi-volatile analytes in environmental, food, and forensic samples.
  • Inline cleanup: high-pressure in-line filters (0.2–0.3 μm), guard cartridges, and online SPE with Agilent Flex Cube enable continuous matrix removal without manual handling.

Instrumentation


Analyses were demonstrated on Agilent platforms:
  • LC systems: 1100 Series, 1290 Infinity II with ESI sources for LC–MS/MS evaluation of ion suppression.
  • GC systems: Agilent GC/MS(/MS) with MRM transitions to assess pesticide cleanup efficiency.
  • Online SPE: 1200 Infinity Series Flex Cube for alternating load and elution cycles.

Main Results and Discussion


Results highlight the impact of proper cleanup:
  • Captiva EMR-Lipid removed >99% phospholipids from plasma, reducing background noise and enabling shorter gradients.
  • Ion suppression studies using post-column infusion showed stable baselines and improved signal-to-noise ratios (RSD <3%) after EMR-Lipid treatment versus RSD >25% for protein precipitation alone.
  • Chem Elut S SLE offered consistent recoveries (87–119%) and RSD <8% for aromatic amines in GC analyses with a simple 15-min protocol.
  • Bond Elut Plexa sorbents demonstrated broad applicability across analyte classes, with robust flow and minimal carryover.
  • Inline filters and spring-loaded fittings reduced ghost peaks, retention shifts, and sample carryover for high-throughput workflows.

Benefits and Practical Applications


By matching matrix removal techniques to sample challenges, laboratories can:
  • Extend column and detector life.
  • Increase method robustness and reproducibility.
  • Lower detection limits through reduced ion suppression.
  • Minimize downtime and maintenance costs.

Future Trends and Opportunities


Emerging directions include:
  • Automated online sample cleanup integrating SPE, SLE, and filtration.
  • Novel sorbent materials for metabolomics and lipidomics.
  • Miniaturized workflows and high-throughput plate formats.
  • Green chemistry approaches to reduce solvent use.

Conclusion


Effective sample preparation is the cornerstone of reliable LC and GC analyses. By employing strategies such as targeted filtration, SLE, QuEChERS, SPE, and inline cleanup, analysts can mitigate matrix effects, improve data quality, and enhance laboratory productivity.

References


  • Application note: Determination of 14 Polycyclic Aromatic Hydrocarbon Compounds in Edible Oil (5994-1483EN).
  • Application note: Determination of UV Filters in Sunscreens Using Agilent Captiva EMR-Lipid Cleanup by HPLC (5994-1611EN).
  • Application note: A Fast Sample Preparation Workflow for Veterinary Drugs Analysis in Salmon (5994-1124EN).
  • Application note: Analysis of Nitroimidazoles in Egg Using Agilent Captiva EMR-Lipid and LC/MS/MS (5994-0641EN).
  • Application note: Mycotoxin Analysis in Peanut Butter Using Captiva EMR-Lipid Cleanup and LC/MS/MS (5994-0366EN).

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