• Journal of the Korean Society of Tobacco Science
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• v.24 no.1
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• pp.13-20
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• 2002

This study was conducted to evaluate the prediction of sensory attributes of tobacco smoke by the use of volatile oil components of tobacco. For analytical and sensory evaluations, twelve aging tobaccos (i.e., 3 crop years; 1998, 1999, 2000, and 4 stalk positions) were prepared in flue-cured and burley tobaccos. 61 volatile oil components and 5 sensory attributes such as irritation, impact, after taste, bitter and green were investigated. Irritation of flue-cured tobacco, and irritation and impact of burley tobacco were significantly increased with the ascending stalk position, whereas after taste of burley tobacco was significantly decreased. Significantly positive correlations among irritation, impact, and bitter were observed in flue-cured tobacco. A significantly positive correlation between irritation and bitter was observed, significantly negative correlations between after taste and irritation and between after taste and impact were observed in burley tobacco. Except for green of burley tobacco, all probabilities of multiple linear regression equations between volatile oil components of tobacco and sensory attributes of tobacco smoke were significant(P$\leq$0.05). This study suggests that the multiple linear regression equations may be useful to predict the sensory attributes of tobacco smoke with a few selected volatile oil components of tobacco.

• Journal of Distribution Science
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• v.13 no.10
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• pp.57-63
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• 2015

Purpose - This study investigates the effects consumer perceptions of wine attributes have on repurchase intention. It examineshow wine purchase channels (online or offline) influence perceptions about wine attributes and repurchase intention. Research design, data, and methodology - A total of 390 responses from Florida residents over 21 were collected using online surveys. Responses were analyzed using exploratory factor analysis to identify the underlying wine attribute factors. Multiple regression and multi-group analysis were employed to test the hypotheses. Results - Results revealed that consumer perceptions of wine attributes (sensory, origin, reputation, and price point) significantly influence their repurchase intention. Additionally, the effects of wine attributes on repurchase intentions were found to be significantly different based on the channel used. Findings indicated that wine attributes pertaining to reputation and price point strongly influenced repurchase behavior of online consumers, while offline wine consumers were influenced more by sensory and origin attributes. Conclusions - Study findings provide useful information for wine industry sales channels for developing new marketing strategies to effectively attract wine consumers to repurchase wine.

• Journal of the Korean Society of Tobacco Science
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• v.22 no.2
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• pp.184-189
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• 2000

This study was conducted to develop the objective evaluation method for tobacco smoke. The evaluation was carried out by using the data of cut or blended tobacco components, smoke components, electric nose system (ENS), and sensory test. By using the statistical methods, such as cluster analysis, discriminant analysis, factor analysis, correlation analysis, and multiple regression analysis, the relationship among the data of tobacco, smoke, ENS, and sensory evaluation was studied. By the results of cluster analysis, the data from smoke analysis by GC and ENS were able to select the difference of tobacco leaf characteristics. As the results of discriminant analysis, grouping by the components of tobacco leaves and smoke was possible and the results of GC analysis of smoke could be used for discrimination of tobacco leaves. In the results of factor analysis, nicotine, tar, CO, puff No and pH in the smoke were the factors effecting on the tobacco leaf characteristics. From the correlation analysis, aroma, taste, irritation, and smoke volume of sensory test had high relation to tar, p-cresol threonolatone, levoglucosane, and quinic acid- ${\gamma}$ -lactone of smoke. The ENS data showed high efficiency for discriminant analysis and cluster analysis, but it was not good for factor analysis, and correlation analysis. It was possible to estimate tobacco leaves and their blending characteristics by the analytical data of tobacco leaves, smoke, ENS, and sensory test results. By the multiple regression analysis, some correlation among selected chemical components and sensory evaluation were found. This study strongly indicated that the some chemical analysis data was available for the objective evaluation of tobacco sensory attributes.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.58 no.4
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• pp.347-352
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• 2013

Soybean sprout is a year-round traditional vegetable that is easily produced and relatively inexpensive in Korea. In addition, the sprout is known as a good source of protein, vitamins and minerals. The quality of the soybean sprout has been mainly evaluated only by its appearance like length, width, color, and the others without considering any odor or taste attributes. We studied the chemical factors affecting taste of soy sprouts cultivated with 5 recommended soybean cultivars through evaluation of chemical constituents in relation to their sensory characteristics. Correlation coefficient among the chemical constituents and sensory characteristics of soybean sprout showed that the linolenic acid and Ca contents were positively correlated with total acceptability of soybean sprout and histidine, aspartic acid, and serine showed a negative association with beany odor of soybean sprout. Multiple regression analysis was done to formulate selection criteria for good taste of soy sprout. The estimation of step-wise regression analysis conducted by 47 chemical components for major quality-related characteristics showed that linolenic acid and mineral contents were the main components increasing the acceptability of soybean sprout.