Advanced method optimization for volatile aroma profiling of beer using two-dimensional gas chromatography...

Area of Science:

• Analytical Chemistry
• Food Science
• Metabolomics

Background:

• Volatile organic compounds (VOCs) significantly influence the aroma profiles of beers.
• Distinguishing complex VOC mixtures in Trappist and craft beers requires advanced analytical techniques.

Purpose of the Study:

• To evaluate the efficiency of TD-GC×GC-TOFMS for analyzing VOCs in beer.
• To compare different headspace extraction techniques for beer aroma compounds.
• To identify chemical variations and common patterns among different beer types.

Main Methods:

• Comparison of four headspace extraction methods: HS-SPME, mSBSE, SHS, and DHS.
• Optimization of GC×GC separation using Box-Behnken design and convex hull analysis.
• Statistical analysis of chromatographic data using Fisher Ratio, PCA, and HCA.

Main Results:

• TD-GC×GC-TOFMS effectively separated and identified VOCs in complex beer samples.
• DHS combined with TD-GC×GC-TOFMS showed high efficiency in capturing beer aroma compounds.
• PCA and HCA successfully clustered beer samples based on their VOC profiles, highlighting differences and similarities.

Conclusions:

• The integrated DHS-TD-GC×GC-TOFMS, PCA, and HCA approach is powerful for differentiating beer types based on VOC patterns.
• This method provides insights into the chemical basis of aroma variations in Trappist and craft beers.
• The study validates the utility of advanced GC×GC-TOFMS techniques in complex food aroma analysis.