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Methods for Profiling Gin for Essential Oil Components with GC-TOFMS and GCxGC-TOFMS

Posters | 2009 | LECOInstrumentation
GCxGC, GC/MSD, GC/TOF
Industries
Food & Agriculture
Manufacturer
Agilent Technologies, LECO

Summary

Importance of the Topic


Understanding the full range of volatile components in gin is essential for assessing flavor profile, ensuring product consistency and authenticity, and tracing geographic origin. Trace constituents derived from juniper berries and added botanicals can influence sensory characteristics and serve as chemical markers for quality control and compliance in the spirits industry.

Objectives and Study Overview


This study aimed to compare single-injection profiling of six commercial gin samples against a juniper oil standard. Two complementary analytical approaches were evaluated: one-dimensional gas chromatography coupled with time-of-flight mass spectrometry (GC-TOFMS) and comprehensive two-dimensional GC-TOFMS (GC×GC-TOFMS). The goals were to assess sensitivity, peak separation, spectral deconvolution capabilities, and the overall number of compounds detected.

Methodology


All gin samples and a juniper oil standard were analyzed neat, with no sample preparation. Data processing employed automated deconvolution and library matching (NIST and a terpene library) to identify compounds at a signal-to-noise threshold and retention time tolerance.

Used Instrumentation


  • GC-TOFMS: Agilent 6890 GC, splitless injection, He carrier gas, Rtx-5 column, LECO TruTOF HT, 10 spectra/s acquisition, mass range 35–500 m/z.
  • GC×GC-TOFMS: Agilent 6890 GC with thermal modulator (5 s period), BPX-50 secondary column, LECO Pegasus 4D, 150 spectra/s acquisition, mass range 35–350 m/z.

Main Results and Discussion


• GC-TOFMS screening of juniper oil detected 115 compound signals, with 76 reliable identifications (library match ≥ 750).
• GC×GC-TOFMS increased total peaks by over fourfold in some samples and delivered substantial gains in signal-to-noise ratios (e.g., s/n for caryophyllene rose from ~91 in GC to ~476 in GC×GC).
• Spectral deconvolution effectively resolved coeluting analytes such as 2-carene and (2-methyl-2-propenyl)-benzene, generating pure “Peak True” spectra for confident identification.
• Comparative analysis of six gin samples against the juniper oil reference highlighted sample-specific botanical additives and compositional differences. Some gins aligned closely with the standard, while others exhibited unique flavor markers from citrus or exotic botanicals.

Benefits and Practical Applications of the Method


These approaches enable rapid, high-throughput profiling of complex spirit matrices without derivatization. Key advantages include:
  • Minimal sample preparation and single-injection workflows.
  • Enhanced detection of trace components and minor flavor compounds.
  • Spectral deconvolution of overlapping peaks for unambiguous identification.
  • Automated reference comparison for quality control and authenticity testing.

Future Trends and Potential Applications


• Integration of multidimensional separations with hybrid MS/MS for structural elucidation.
• Expansion of custom terpene and flavor libraries to cover novel botanical ingredients.
• Real-time quality monitoring in distilleries using rapid GC×GC platforms.
• Application to other distilled spirits, essential oils, and botanical extracts.

Conclusion


The combination of GC-TOFMS and GC×GC-TOFMS provides comprehensive and sensitive profiling of gin flavor components. GC×GC offers superior peak capacity and improved detectability, while GC-TOFMS delivers rapid and straightforward screening. Together, these tools facilitate in-depth chemical characterization, supporting quality assurance, authenticity verification, and product development in the spirits industry.

References


  1. Adams R.P. The Terpene Library of Essential Oil Components; Baylor University Plant Biotechnology Center.
  2. Namara K.M.; J. Chromatogr. A 1164 (2007) 281–290.

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