A-29: Correlation between sensory analysis and volatile composition of beer using multivariate analysis: Effect of the beer matrix on the sensory perception and volatile fraction behavior

L. F. CASTRO (1), C. F. Ross (1); (1) Washington State University, Pullman, WA, U.S.A.

Sensory II
Thursday, June 5 - 10:00 a.m.-11:45 a.m.
Lobby Level, Empire Ballroom

Model beer solutions with varying levels of carbohydrate and protein and known levels of four volatile compounds (isoamyl acetate [banana], ethyl hexanoate [apple], myrcene [dry-hop], and benzaldehyde [almond]) were prepared to study the effect of the non-volatile fraction on volatile compound release and sensory perception. Aroma and flavor attributes were evaluated using a trained sensory panel, while the concentrations of volatile compounds were determined by 1) solid-phase microextraction (SPME); 2) solid-phase dynamic extraction (SPDE) coupled to gas chromatography-mass spectrometry (GC-MS); and 3) stir bar sorptive extraction (SBSE) coupled to gas chromatography-flame ionization (GC-FID). In addition, sensory and instrumental results were modeled by principal component analysis (PCA), and relationships between the instrumental (volatile) and sensory variables were analyzed by partial least squares regression (PLSR). Results showed that the non-volatile fraction had a significant effect (P < 0.05) on volatile compound release and aroma perception. Model beer samples with low levels of proteins and high levels of carbohydrates presented the highest concentrations of isoamyl acetate, benzaldehyde, and ethyl hexanoate. Myrcene was only influenced by carbohydrate content, with a higher concentration at a lower level of carbohydrates. Apple and banana aroma attributes were perceived as less intense at low protein content (P < 0.05). Dry-hop aroma flavor were perceived as more intense in samples with low carbohydrate content (P < 0.05). PCA showed that differentiation between samples was mainly due to protein content, and PLSR analysis indicated a very poor correlation between the sensory and instrumental data. The results illustrate that sensory perception and volatile fraction behaviors are influenced by non-volatile components and also demonstrate the need for caution when directly relating instrumental to sensory analyses.

Luis Castro is a post-doctoral research associate at Washington State University. He received his B.S. degree in chemistry from the University of Costa Rica in San José. After two years spent working in both industry and academia, he moved to Washington State University, School of Food Science, to pursue graduate studies. After obtaining his M.S. degree in food science under Barbara Rasco, working in the field of food safety, he enrolled in the Ph.D. program at the same institution, working with Carolyn Ross. Under her supervision he started research on beer flavor chemistry and received his Ph.D. degree in December 2013. His current research combines sensory analysis and analytical chemistry techniques to determine the impact of flavor and matrix components on the sensory and chemical properties of beer.

View Presentation

Purchase and login is required to access presentations. Purchase access to the Proceedings.