Literature DB >> 29030866

Characterization of Sensory Differences in Mixing and Premium Rums Through the Use of Descriptive Sensory Analysis.

Chelsea M Ickes1, Keith R Cadwallader1.   

Abstract

This study identified and quantitated perceived sensory differences between 7 premium rums and 2 mixing rums using a hybrid of the Quantitative Descriptive Analysis and Spectrum methods. In addition, the results of this study validated the previously developed rum flavor wheel created from web-based materials. Results showed that the use of the rum flavor wheel aided in sensory term generation, as 17 additional terms were generated after the wheel was provided to panelists. Thirty-eight sensory terms encompassing aroma, aroma-by-mouth, mouthfeel, taste and aftertaste modalities, were generated and evaluated by the panel. Of the finalized terms, only 5 did not exist previously on the rum flavor wheel. Twenty attributes were found to be significantly different among rums. The majority of rums showed similar aroma profiles with the exception of 2 rums, which were characterized by higher perceived intensities of brown sugar, caramel, vanilla, and chocolate aroma, caramel, maple, and vanilla aroma-by-mouth and caramel aftertaste. PRACTICAL APPLICATION: These results demonstrate the previously developed rum flavor wheel can be used to adequately describe the flavor profile of rum. Additionally, results of this study document the sensory differences among premium rums and may be used to correlate with analytical data to better understand how changes in chemical composition of the product affect sensory perception.
© 2017 Institute of Food Technologists®.

Entities:  

Keywords:  descriptive analysis; flavor; rum; sensory

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Year:  2017        PMID: 29030866     DOI: 10.1111/1750-3841.13936

Source DB:  PubMed          Journal:  J Food Sci        ISSN: 0022-1147            Impact factor:   3.167


  2 in total

1.  Effect of ethanol on flavor perception of Rum.

Authors:  Chelsea M Ickes; Keith R Cadwallader
Journal:  Food Sci Nutr       Date:  2018-03-26       Impact factor: 2.863

2.  A Novel Quantitative Prediction Approach for Pungency Level of Chinese Liquor (Baijiu) Based on Infrared Thermal Imager.

Authors:  Yingxia He; Shuang Chen; Ke Tang; Yan Xu; Xiaowei Yu
Journal:  Foods       Date:  2021-05-17
  2 in total

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