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Chemometric approach for analyzing the flavor patterns of commercial instant coffee: effects of coffee bean varieties and sweetener addition
- Ban, Younglan;
- Hong, Seong Jun;
- Moon, Hee Sung;
- Yu, Se Young;
- Park, Hyeonjin;
- ... Shin, Eui-Cheol;
- 외 3명
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0초록
Commercial instant coffees with different coffee bean varieties (Arabica 100% and Arabica-Robusta) and added sweeteners were analyzed for physicochemical properties and flavor patterns using instrumental and human sensory analyses through chemometric approaches. Analysis of physicochemical properties revealed chlorogenic acid and glucose (scores >= 1). Flavor analysis using electronic sensors and chemometric approaches revealed that samples were mainly distinguished by the type of added sweetener, with alcohols, pyrazines, and furans (scores >= 1).Odor-active compound (OAC) analysis based on gas chromatography-olfactometry revealed that black coffee exhibited the highest aroma intensity. Partial least squares discriminant analysis (PLS-DA), integrating sensory data with taste active values (TAVs) and odor active values (OAVs) clearly separated black coffee from sugar-added samples, and debiased sparse partial correlation (DSPC) algorithm revealed direct chemical-sensory associations driven by sweeteners addition. These findings provide fundamental insights into understanding the effects of sweetener addition on flavor characteristics.
키워드
- 제목
- Chemometric approach for analyzing the flavor patterns of commercial instant coffee: effects of coffee bean varieties and sweetener addition
- 저자
- Ban, Younglan; Hong, Seong Jun; Moon, Hee Sung; Yu, Se Young; Park, Hyeonjin; Jang, Gwang-Ju; Kim, Ho Eun; Lee, Sang-Hee; Shin, Eui-Cheol
- 발행일
- 2026-07
- 유형
- Article; Early Access