PubAg

Main content area

Chemical characterization of aromas in beer and their effect on consumers liking

Author:
Gonzalez Viejo, Claudia, Fuentes, Sigfredo, Torrico, Damir D., Godbole, Amruta, Dunshea, Frank R.
Source:
Food chemistry 2019 v.293 pp. 479-485
ISSN:
0308-8146
Subject:
beers, fermentation, flavor, gas chromatography, neural networks, odors, principal component analysis, regression analysis, solid phase microextraction, styrene
Abstract:
Identification of volatiles in beer is important for consumers acceptability. In this study, triplicates of 24 beers from three types of fermentation (top/bottom/spontaneous) were analyzed using Gas Chromatograph with Mass-Selective Detector (GC-MSD) employing solid-phase microextraction (SPME). Principal components analysis was conducted for each type of fermentation. Multiple regression analysis, and an artificial neutral network model (ANN) were developed with the peak-areas of 10 volatiles to evaluate/predict aroma, flavor and overall liking. There were no hops-derived volatiles in bottom-fermentation beers, but they were present in top and spontaneous. Top and spontaneous had more volatiles than bottom-fermentation. 4-Ethyguaiacol and trans-β-ionone were positive towards aroma, flavor and overall liking. Styrene had a negative effect on aroma, flavor and overall liking. An ANN model with high accuracy (R = 0.98) was obtained to predict aroma, flavor and overall liking. The use of SPME-GC-MSD is an effective method to detect volatiles in beers that contribute to acceptability.
Agid:
6393847