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http://dx.doi.org/10.7318/KJFC/2017.32.2.150

Study on Sensory Characteristics and Consumer Acceptance of Commercial Soy-meat Products  

Kim, Mi Ra (College of Hotel & Tourism Management, Kyung Hee University)
Yang, Jeong-Eun (College of Hotel & Tourism Management, Kyung Hee University)
Chung, Lana (College of Hotel & Tourism Management, Kyung Hee University)
Publication Information
Journal of the Korean Society of Food Culture / v.32, no.2, 2017 , pp. 150-161 More about this Journal
Abstract
This study was conducted to identify sensory characteristics of soy-meat samples by trained panels and to observe the relationship between these sensory characteristics and consumer acceptability of the samples. Descriptive analysis was performed on eight samples; four types of patty style soy-meat samples (Soy-meat Patty; SP) made with a Ddukgalbi recipe (YSP, VSP, LSP, and SSP) and four types of Bulgogi style soy-meat samples (Soy-meat Bulgogi; SB) made with a Bulgogi recipe (YSB, VSB, LSB, and SSB). Seven panelists were trained, and they evaluated the appearance, odor/aroma, flavor/taste, texture/mouth feel, and after taste attributes of these samples. Forty attributes were generated by panelists, and 37 attributes were significantly different across products (p<0.05). The SB group was characterized by beef, leek, and garlic flavor as well a sweetness, denseness, slipperiness, chewiness, and pepper after taste. The SP group was characterized by roughness, particle size, rancid oil flavor, raw bean flavor, astringent, sourness, and adhesiveness. Consumer test (n=125) showed that the VSB sample had the highest scores for acceptability of appearance, flavor, texture, and overall liking. The PLSR results show that the attributes that were more positively associated with acceptance of soy-meat samples were beef taste, wetness, and chewiness, whereas the raw bean smell and rancid oil flavor attributes were negative.
Keywords
Soy meat products; Sensory evaluation; Principal component analysis (PCA); Check-all-that-apply (CATA); Partial least squares regression (PLSR);
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