• Culinary science and hospitality research
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• v.23 no.4
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• pp.105-115
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• 2017

Water is an essential ingredient to brew coffee. Mineral contents in the water can affect both water quality and taste quality of coffee. The effects of minerals in the water on sensory characteristics of coffee were investigated in different water samples (A: Arisu, B: Claris, C: Spring water, D: Samdasoo, E: Evian, Distilled water as control). Based on the results of quantitative descriptive analysis (QDA), there were statistically significant (p<0.01) in flavor, acidity, bitterness, sweetness, body and aftertaste according to different water samples used to brew coffee. The canonical correlation analysis of minerals (Ca, Mg, Na, K) and taste (acidity, bitterness, sweetness) indicated that there were highly correlated in the relationship between bitterness and Mg content. A strong negative relationship was shown between bitterness and acidity, sweetness. A result of preference test using hedonic scale showed an inverse linear relationship between taste quality and total mineral contents.

• Journal of the East Asian Society of Dietary Life
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• v.27 no.4
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• pp.365-377
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• 2017

The objective of this study was to investigate the sensory quality characteristics of coffee under various processing and roasting conditions of green beans. Colombia green bean samples were obtained from three processing methods: natural, pulped-natural, and washed methods. The green beans were roasted differently according to Agtron number: light (Agrton #65), medium (Agtron #55), and dark (Agtron #45). Moisture content, density, color value, pH, and total dissolved solid contents (TDS) were measured, and quantitative descriptive analysis (QDA) with 23 sensory attributes was performed for nine coffee samples. Hunter L values were significantly elevated with the degree of processing but reduced with roasting intensity. The pH values of the nine coffee samples were 5.6~6.2 and significantly increased with intensity of roasting. TDS decreased with an increase in processing and increased with roasting intensity. QDA results show that smoky aroma and nutty and chocolate flavor significantly increased while fruit and floral aroma decreased with intensity of processing. The attributes of brownness, oily surface, smoky aroma, bitter and burnt flavor, and greasy and heavy mouthfeel significantly increased while fruity and floral aroma, black tea, sour and umami flavor, pureness, and softness decreased as roasting intensity increased. Principle component analysis showed the overall significant relationships between 23 sensory attributes and nine coffee samples under different processing and roasting conditions.

• Journal of Integrative Natural Science
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• v.13 no.4
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• pp.132-140
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• 2020

With the recent introduction of artificial intelligence (AI) technology, the use of data is rapidly increasing, and newly generated data is also rapidly increasing. In order to obtain the results to be analyzed based on these data, the first thing to do is to classify the data well. However, when classifying data, if only one classification technique belonging to the machine learning technique is applied to classify and analyze it, an error of overfitting can be accompanied. In order to reduce or minimize the problems caused by misclassification of the classification system such as overfitting, it is necessary to derive an optimal classification by comparing the results of each classification by applying several classification techniques. If you try to interpret the data with only one classification technique, you will have poor reasoning and poor predictions of results. This study seeks to find a method for optimally classifying data by looking at data from various perspectives and applying various classification techniques such as LDA and QDA, such as linear or nonlinear classification, as a process before data analysis in data analysis. In order to obtain the reliability and sophistication of statistics as a result of big data analysis, it is necessary to analyze the meaning of each variable and the correlation between the variables. If the data is classified differently from the hypothesis test from the beginning, even if the analysis is performed well, unreliable results will be obtained. In other words, prior to big data analysis, it is necessary to ensure that data is well classified to suit the purpose of analysis. This is a process that must be performed before reaching the result by analyzing the data, and it may be a method of optimal data classification.

• Journal of the Korean Society of Food Culture
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• v.37 no.3
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• pp.239-247
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• 2022

This study evaluated the sensory characteristics of sauerkraut prepared by adding 0.5, 1.0, 1.5, 2.0, and 2.5% (w/w) sea salt to cabbage. The quantitative descriptive analysis (QDA) and acceptance test of sauerkraut were determined for each salt concentration, and the principal component analysis (PCA) and partial least square regression (PLSR) analysis were performed to confirm the correlation between each factor. Results of the QDA determined 14 descriptive terms; furthermore, brightness and yellowness of appearance and the sour, salty, and bitter flavors differed significantly according to the salt concentration. Results from the PCA explained 22.56% PC1 and 65.34% PC2 of the total variation obtained. Sauerkraut prepared using 0.5, 1.0, and 1.5% sea salt had high brightness, moistness, sour odor, green odor, sour flavor, carbonation, hardness, chewiness, and crispness, whereas sauerkraut prepared with 2.0 and 2.5% sea salt had high yellowness, glossiness, salty flavor, sweet flavor, and bitter flavor. Hierarchical cluster analysis classified the products into two clusters: sauerkraut of 0.5, 1.0, and 1.5%, and sauerkraut of 2.0 and 2.5%. Results of PLSR determined that sauerkraut of 1.0 and 1.5% were the closest to texture, taste, and overall acceptance. We, therefore, conclude that sauerkrauts prepared using 1.0 and 1.5% sea salt have excellent characteristics in appearance, taste, and texture.

• The Korean Journal of Community Living Science
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• v.14 no.1
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• pp.87-96
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• 2003

This study was to examine the possibility of making use of the edible portion on the inner layer of chestnut, which is produced as wastes in the chestnut processing, into chestnut-noodle. To conduct this study, the chestnut powder, which is separated and collected from the inner layer, was used to examine the possibility of making chestnut-noodle. The structure of chestnut-noodle was observed by Scanning Electron Microscope (SEM) and the sensory quality was conducted to examine usability of the chestnut-noodle as compared to wheat flour noodle by Quantitative Descriptive Analysis (QDA). The ten sensory qualities : appearance, color, flavor, hardness, elasticity, cohesiveness, adhesiveness, chewiness, gumminess, and acceptability, were evaluated by 10 point Likert type scale with 10-50% of different ratio of chestnut powder. The chestnut-noodle made by 50% of the chestnut powder got higher points than 10 % of chestnut powder mix in color. However, the chestnut-noodle made by 50% of the chestnut powder got lower points than wheat flour noodle in flavor. Finally, there was no significant difference in hardness, elasticity, cohesiveness, adhesiveness, chewiness and gumminess between the chestnut-noodle made by 30% of the chestnut powder and wheat flour noodle.

• Journal of the Korean Society of Food Culture
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• v.31 no.1
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• pp.105-110
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• 2016

The objective of this study was to determine sensory profiles of rice confections. The samples used in this study obtained from Korea (traditional Korea rice snack and local specialty rice snack) and three countries (USA, Japan, and China) were evaluated and compared. The sensory characteristics of five kinds of rice confections were evaluated using a sensory test and were analyzed via quantitative description analysis (QDA), principal component analysis (PCA), and hierarchical cluster analysis (HCA). In the descriptive analysis, 10 trained panelists evaluated sensory characteristics consisting of 19 attributes, and there were significant differences (p<0.05) among the 16 characteristics. For the descriptive data, multivariate analysis of variance was carried out and identified differences among the samples. The PCA of rice confections for the first two principal components could explain 85.66% of the variations. The Korean, Japanese, and Chinese rice confections were savory, gritty, and particle-sized, the other Korean local specialty rice confections were fruity, sweet, honey-flavored, compact, and crispy, and those from the USA were glossy, grainy, bright, adhesive, cohesive, crispy, and sweet.

• Korean Journal of Food Science and Technology
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• v.17 no.4
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• pp.304-310
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• 1985

Sensory comparison of the flavor of ginseng teas prepared from concentrated white or red ginseng extract was investigated by multipl comparison test and quantitative descriptive analysis (QDA) on 12 selected descriptions. The white ginseng tea revealed higher intensities in odor and taste than those of red ginseng tea, particularly on earthy and sweet odor and bitter and astringent taste. Increase in sample temperature from $2^{\circ}C$ to $80^{\circ}C$ caused a general increase in aroma and bitter taste. When sucrose added into 3% ginseng tea solution, all of the taste descriptions, most significantly on bitterness and astringency, scored lower except sweetness while the aroma was affected a little.

• Korean Journal of Food Science and Technology
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• v.51 no.6
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• pp.551-557
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• 2019

The purpose of this study was to investigate the changes of flavor and taste characteristics of black pepper treated with three different nonthermal sterilization methods, which are intense pulsed light (IPL), ultraviolet (UV), and cold plasma (CP). Also, the sensorial and instrumental evaluation of black pepper before and after nonthermal treatments were analyzed. As a result of color value, UV and CP treatments did not show chromacity difference (ΔE), but IPL treatment showed a significant difference of 6.58. Piperine contents of sample before nonthermal treatments was 10.7±0.53 mg/g and the piperine contents of all samples decreased after nonthermal treatments. The result of the electronic nose analysis were divided into two groups before and after nonthermal treatments, and divided into three group by principle component analysis. According to the intensity test, after nonthermal treatments, all sample had low flavor and taste, and the intensity was in the order of IPL, CP, and UV. In thirteen sensory attribute languages developed through quantitiative descriptive analysis (QDA), the intensity value of the samples were low after nonthermal treatments.

• Korean journal of food and cookery science
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• v.16 no.6
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• pp.521-529
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• 2000

The purpose of this study was to determine the best cooking condition for salted-dried flathead by sensory evaluation. Raw flathead and 3 different kinds of salted(2%, 4%, 6%)-dried flathead were cooked by various methods such as steaming, boiling, baking and different cooking times(5, 10, and 15min). The results of this study were as follows: 1. In steamed samples, the meaty flavor was significantly related with brown color, cooled level, and softness at 5% level. 2. In boiled samples, meaty flavor was significantly related with cooked level, moistness, and fishy odor at 5% level. 3. For broiled samples, meaty flavor was significantly related with fishy odor, meaty aroma, and bitter taste at 1% level. 4. The best cooking conditions determined by a quantitative descriptive analysis(QDA) were steaming 6% salted-dried samples for 5min, and boiling or broiling 6% salted-dried samples for 10min. The most favored cooking method was broiling. 5. In comparison of the samples by QDA, 2% salted-dried samples cooked 15 min gave better scores in the order of boiled > overall score > steamed > broiled, 4% samples cooked 5min were boiled > steamed > overall score > broiled, and 6% samples showed similar scores among all conditions. The 6% samples cooked for 5min gave high scores in 7 terms of QDA in steaming, and 6% samples cooked for 10min for boiled and baked.

• Food Science and Preservation
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• v.20 no.3
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• pp.348-355
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• 2013

This study was conducted to analyze the sensory profiles of commercial rice cookies and snacks in the market and to provide fundamental data on the development of rice cookies and snacks. The sensory characteristics of 10 kinds of Korean commercial rice cookies and snacks were evaluated using a sensory test and were analyzed via quantitative description analysis (QDA) and principal component analysis (PCA), depending on their rice contents and processing methods. The rice cookies and snacks with less than 30% rice contents and that were fried were preferred, and their grainy attribute was related to the preference for them. Then 27 kinds of commercial rice cookies and snacks from three countries, Japan, the U.S.A. and China, were also evaluated and compared with those from Korea. While the Korean commercial rice cookies and snacks were sweet, grainy and crispy, those of Japan were not sweet and instead, were salty and crispy.