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Analysis of food using the Entech 7150 preconcentrator GC with large volume headspace

Applications | 2012 | AnatuneInstrumentation
GC/MSD, HeadSpace, SPME, Sample Preparation, GC/SQ
Industries
Food & Agriculture
Manufacturer
Agilent Technologies, Anatune, ENTECH

Summary

Significance of the Topic


The characterization of volatile and semi volatile compounds in moist food matrices poses significant analytical challenges due to water interference in gas chromatography and potential column damage. Employing large volume headspace sampling combined with water removal enhances sensitivity, improves peak shapes, and enables reliable monitoring of freshness, flavor profiles, and quality attributes in meat, cheese, and snack products.

Objectives and Study Overview


This technical note demonstrates how the Entech 7150 preconcentrator with large volume headspace sampling can be applied to a range of food samples. Key objectives include:
  • Monitoring the evolution of volatile profiles in beef sirloin over a 7-day aging period.
  • Comparing aroma fingerprints of different crisp flavours (ready salted, cheese and onion, salt and vinegar, prawn cocktail).
  • Assessing the impact of moisture content on volatile composition in crisps.
  • Evaluating reproducibility and quantitation potential in cheddar cheese headspace analysis.

Methodology and Instrumentation


Samples were placed in 500 mL large volume headspace jars or 250 mL bottles for crisps. Headspace volumes up to 1000 mL were drawn into the Entech 7150 preconcentrator using an evacuated bottle sampling technique. The preconcentration workflow employs three successive traps:
  • Active SPME trap coated with polydimethylsiloxane for semivolatile retention.
  • Cold dehydration trap (–30 °C) to capture water as ice crystals.
  • Cold Tenax trap for volatile components (C1–C10 range).

After trapping, water is removed by heating the dehydration trap, then volatiles are refocused onto the Active SPME trap by heating the Tenax trap to 200 °C while the SPME trap is held at –60 °C. Finally, the SPME trap is heated to desorb analytes into the GC system.

Used Instrumentation


  • Entech 7150 Preconcentrator
  • Entech 7500 Autosampler
  • Agilent Gas Chromatograph coupled to a Mass Spectrometer
  • 500 mL and 250 mL Large Volume Headspace Vials
  • Evacuated sampling bottles and micro-valve connectors

Main Results and Discussion


TIC comparisons revealed distinct changes in volatile profiles: beef sirloin exhibited shifts in key volatiles after 7 days of aging, indicating potential markers for freshness. Prawn cocktail crisps showed elevated levels of beta-pinene, distinguishing them from other flavours. Wetting crisps altered analyte distribution compared to dry samples, demonstrating matrix effects on headspace composition. Four replicate analyses of cheddar cheese yielded highly consistent TICs, underscoring the method’s quantitative reliability.

Benefits and Practical Applications


Key advantages of this approach include:
  • Effective removal of water to protect GC columns and improve chromatographic performance.
  • Large volume headspace sampling for enhanced sensitivity to low-concentration analytes.
  • Quantitative and reproducible results suitable for quality control in food production.
  • Broad applicability across food, flavour and fragrance, pharmaceutical, and environmental sectors.

Future Trends and Potential Uses


Advancements may include integration of real-time monitoring in production lines, expansion to high-resolution mass spectrometry for comprehensive profiling, miniaturization of preconcentrator modules for field analysis, and automation of sample preparation workflows to support high-throughput quality assurance.

Conclusion


The Entech 7150 preconcentrator with large volume headspace and sequential water removal effectively addresses the challenges of analysing moist food samples. The method delivers improved sensitivity, reproducibility, and quantitative potential, facilitating reliable monitoring of product freshness, flavour characteristics, and quality parameters.

Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.

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