Automated Static and Dynamic Headspace Analysis with GC-MS for Determination of Abundant and Trace Flavour Compounds in Alcoholic Beverages Containing Dry Extract
Applications | 2010 | GERSTELInstrumentation
Analysis of volatile flavour compounds in aged alcoholic beverages containing non-volatile dry extract is critical for quality control and flavour profiling. Traditional direct GC injections can lead to inlet and column contamination when high levels of sugars or polyphenolic materials are present. A robust, automated approach that handles both abundant and trace analytes without manual cleanup enhances laboratory efficiency and data reliability.
This work aimed to develop and validate a fully automated workflow combining static and dynamic headspace (HS) sampling with GC-MS for comprehensive profiling of major and minor flavour constituents in spirits aged in wooden barrels. The study demonstrates sequential trapping of headspace volatiles to overcome challenges posed by non-volatile matrix components and to extend the dynamic range of detectable compounds.
The protocol uses only sample dilution in headspace vials, followed by two automated modes:
Instrumentation:
Static HS chromatograms prominently displayed fusel alcohols, ethyl acetate and major ethyl esters up to C12. Dynamic HS extended detection to numerous trace esters, acids, aldehydes and acetals, including compounds relevant to aroma such as nonanal, decanal and phenethyl acetate. Use of solvent venting and cryo-focusing suppressed water and small alcohol overloads, improving peak shape and reproducibility without internal standards.
The combined HS-GC-MS method offers:
Emerging directions include the integration of sorptive extraction materials with tailored selectivity, coupling HS workflows with advanced data-mining and chemometric tools, and extending the approach to other complex matrices such as sweet liqueurs, fortified wines or aged beers. Miniaturised and portable HS devices may allow on-site screening in production facilities.
The sequential static and dynamic headspace GC-MS approach provides a comprehensive, automated, and contamination-free platform for routine flavour profiling of alcoholic beverages containing dry extract. It balances sensitivity for trace analytes with robustness against non-volatile matrix components.
[1] Nykänen L, Suomalainen H. Aroma of Beer, Wine and Distilled Beverages. Akademie-Verlag. Berlin (1983).
[2] de Rijke R, ter Heide R. In: Piggott J, editor. Flavour of Distilled Beverages. Ellis Horwood; Chichester (1983). p.192.
[3] Mac Namara K. J High Res Chrom. 7 (1984) 641.
[4] Madera R, Suárez Valles B. J Chrom Sci. 45 (2007) 428.
[5] Staniewski J, Rijks J. J Chrom A. 623 (1992) 105–113.
[6] Zalacain A, Marín J, Alonso GL, Salinas MR. Talanta. 71 (2007).
[7] Schulz K, Dreßler J, Sohnius E-M, Lachenmeier DW. J Chrom A. 1145 (2007) 204–209.
[8] Demyttenaere JCR, Sánchez Martínez JL, Téllez Valdés MJ, Verhé R, Sandra P. Proc 25th ISCC. Riva del Garda (2002).
[9] Salvadeo P, Boggia R, Evangelisti F, Zunin P. Food Chem. 105 (2007) 1228.
[10] Tienpont B, David F, Bicchi C, Sandra P. J Microcol Sep. 12(11) (2002) 577–584.
[11] Bicchi C, Cordero C, Liberto E, Rubiolo P, Sgorbini B, Sandra P. J Chrom A. 1071 (2005) 111–118.
[12] Stuff JR, Whitecavage JA, Hoffmann A. Gerstel Appl Note AN/2008/4.
GC/MSD, HeadSpace, Thermal desorption, GC/SQ
IndustriesFood & Agriculture
ManufacturerAgilent Technologies, GERSTEL
Summary
Significance of the Topic
Analysis of volatile flavour compounds in aged alcoholic beverages containing non-volatile dry extract is critical for quality control and flavour profiling. Traditional direct GC injections can lead to inlet and column contamination when high levels of sugars or polyphenolic materials are present. A robust, automated approach that handles both abundant and trace analytes without manual cleanup enhances laboratory efficiency and data reliability.
Objectives and Study Overview
This work aimed to develop and validate a fully automated workflow combining static and dynamic headspace (HS) sampling with GC-MS for comprehensive profiling of major and minor flavour constituents in spirits aged in wooden barrels. The study demonstrates sequential trapping of headspace volatiles to overcome challenges posed by non-volatile matrix components and to extend the dynamic range of detectable compounds.
Methodology and Instrumentation
The protocol uses only sample dilution in headspace vials, followed by two automated modes:
- Static headspace: tenax-packed liner in a PTV inlet operated in solvent-vent mode to capture abundant alcohols and esters.
- Dynamic headspace: purging of vial headspace onto a second tenax trap, thermal desorption into the same PTV liner to reveal trace compounds.
Instrumentation:
- Agilent 7890 GC with 5975 MSD
- Gerstel Thermal Desorption Unit (TDU) and PTV inlet (CIS 4)
- Gerstel MPS 2 autosampler with static HS and DHS modules
- Column: 25 m × 0.15 mm CP-SIL 5CB, 2.0 µm film
- Carrier gas: He at 0.5 mL/min; oven ramp 40 °C–300 °C
Main Results and Discussion
Static HS chromatograms prominently displayed fusel alcohols, ethyl acetate and major ethyl esters up to C12. Dynamic HS extended detection to numerous trace esters, acids, aldehydes and acetals, including compounds relevant to aroma such as nonanal, decanal and phenethyl acetate. Use of solvent venting and cryo-focusing suppressed water and small alcohol overloads, improving peak shape and reproducibility without internal standards.
Benefits and Practical Applications
The combined HS-GC-MS method offers:
- Minimal sample preparation and full automation for high throughput
- Protection of inlet and column from non-volatile contaminants
- Extended dynamic range covering major and trace volatiles
- Reproducible profiling suitable for quality control in distilleries
Future Trends and Potential Applications
Emerging directions include the integration of sorptive extraction materials with tailored selectivity, coupling HS workflows with advanced data-mining and chemometric tools, and extending the approach to other complex matrices such as sweet liqueurs, fortified wines or aged beers. Miniaturised and portable HS devices may allow on-site screening in production facilities.
Conclusion
The sequential static and dynamic headspace GC-MS approach provides a comprehensive, automated, and contamination-free platform for routine flavour profiling of alcoholic beverages containing dry extract. It balances sensitivity for trace analytes with robustness against non-volatile matrix components.
References
[1] Nykänen L, Suomalainen H. Aroma of Beer, Wine and Distilled Beverages. Akademie-Verlag. Berlin (1983).
[2] de Rijke R, ter Heide R. In: Piggott J, editor. Flavour of Distilled Beverages. Ellis Horwood; Chichester (1983). p.192.
[3] Mac Namara K. J High Res Chrom. 7 (1984) 641.
[4] Madera R, Suárez Valles B. J Chrom Sci. 45 (2007) 428.
[5] Staniewski J, Rijks J. J Chrom A. 623 (1992) 105–113.
[6] Zalacain A, Marín J, Alonso GL, Salinas MR. Talanta. 71 (2007).
[7] Schulz K, Dreßler J, Sohnius E-M, Lachenmeier DW. J Chrom A. 1145 (2007) 204–209.
[8] Demyttenaere JCR, Sánchez Martínez JL, Téllez Valdés MJ, Verhé R, Sandra P. Proc 25th ISCC. Riva del Garda (2002).
[9] Salvadeo P, Boggia R, Evangelisti F, Zunin P. Food Chem. 105 (2007) 1228.
[10] Tienpont B, David F, Bicchi C, Sandra P. J Microcol Sep. 12(11) (2002) 577–584.
[11] Bicchi C, Cordero C, Liberto E, Rubiolo P, Sgorbini B, Sandra P. J Chrom A. 1071 (2005) 111–118.
[12] Stuff JR, Whitecavage JA, Hoffmann A. Gerstel Appl Note AN/2008/4.
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