• Journal of Korea Multimedia Society
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• v.22 no.7
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• pp.790-803
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• 2019

The effects of different heat treatments on the sensory characteristics of abalones are studied in this study. In this paper, the sensory evaluation of abalone samples under different heat treatment conditions is carried out, and the evaluation results are analyzed. The three-dimensional (3D) scanning and reverse engineering are used in tooth modeling of the sensory evaluation of abalone samples under different heat treatment conditions. Besides, the chewing movement models are simplified into three modes, including the cutting mode, compressing mode and grinding mode, which are simulated using finite element simulation. The elastic modulus of the abalone samples is obtained through the compression testing using a texture analyzer to distinguish their material properties under different heat treatments and to obtain simulated mechanical parameters. Finally, taking the mechanical parameters of the finite element simulation of abalone chewing as input and sensory evaluation parameters as the output, BP neural network is established in which the sensory texture evaluation model of abalone samples is obtained. Through verification, the neural network prediction model can meet the requirements of food texture evaluation, with an average error of 9.12%.

• Asian-Australasian Journal of Animal Sciences
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• v.29 no.7
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• pp.1029-1036
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• 2016

This study investigated the degree to which instrumental measurements explain the variation in pork loin tenderness as assessed by the sensory evaluation of trained panelists. Warner-Bratzler shear force (WBS) had a significant relationship with the sensory tenderness variables, such as softness, initial tenderness, chewiness, and rate of breakdown. In a regression analysis, WBS could account variations in these sensory variables, though only to a limited proportion of variation. On the other hand, three parameters from texture profile analysis (TPA)-hardness, gumminess, and chewiness-were significantly correlated with all sensory evaluation variables. In particular, from the result of stepwise regression analysis, TPA hardness alone explained over 15% of variation in all sensory evaluation variables, with the exception of perceptible residue. Based on these results, TPA analysis was found to be better than WBS measurement, with the TPA parameter hardness likely to prove particularly useful, in terms of predicting pork loin tenderness as rated by trained panelists. However, sensory evaluation should be conducted to investigate practical pork tenderness perceived by consumer, because both instrumental measurements could explain only a small portion (less than 20%) of the variability in sensory evaluation.

• Asian-Australasian Journal of Animal Sciences
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• v.26 no.10
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• pp.1490-1495
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• 2013

Texture and 'tenderness' in particular, is an important sensory characteristic for consumers' satisfaction of beef. Objective and detailed sensory measurements of beef texture have been needed for the evaluation and management of beef quality. This study aimed to apply the sensory scales defined in ISO11036:1994 to evaluate the texture of beef. Longissimus and Semitendinosus muscles of three Holstein steers cooked to end-point temperatures of $60^{\circ}C$ and $72^{\circ}C$ were subjected to sensory analyses by a sensory panel with expertise regarding the ISO11036 scales. For the sensory analysis, standard scales of 'chewiness' (9-points) and 'hardness' (7-points) were presented to the sensory panel with reference materials defined in ISO11036. As a result, both 'chewiness' and 'hardness' assessed according to the ISO11036 scales increased by increasing the cooking end-point temperature, and were different between Longissimus and Semitendinosus muscles. The sensory results were in good agreement with instrumental texture measurements. However, both texture ratings in this study were in a narrower range than the full ISO scales. For beef texture, ISO11036 scales for 'chewiness' and 'hardness' are useful for basic studies, but some alterations are needed for practical evaluation of muscle foods.

• The Korean Journal of Food And Nutrition
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• v.29 no.5
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• pp.605-609
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• 2016

This study aimed to find the optimum instrumental test conditions for the Texture Profile Analysis (TPA) of cooked rice in order to predict the sensory texture attributes (hardness, adhesiveness, chewiness). Sensory evaluation was performed for three kinds of instant cooked rice with university students in their twenties and the results of the sensory evaluation were compared to instrumental TPA patterns. Using partial least squares regression, the instrumental TPA results at a cross-head speed of 1.0 mm/sec and a compression ratio of 70% proved to be an excellent predictor of the sensory attributes of hardness ($R^2=0.99$) and chewiness ($R^2=0.99$). The results at a cross-head speed of 0.5 mm/sec and compression ratio of 30% provided an excellent model for the prediction of sensory adhesiveness ($R^2=0.83$). In this experimental range, sensory hardness and chewiness showed a high correlation with instrumental TPA parameters (hardness, cohesiveness, adhesiveness, springiness, chewiness) with a high cross-head speed and compression ratio, while sensory adhesiveness showed a high correlation with the TPA parameters with a low cross-head speed and compression ratio.

• Journal of the East Asian Society of Dietary Life
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• v.5 no.3
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• pp.239-246
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• 1995

This study was prepared to optimize $\alpha$-azuki bean powder content by sensory evaluation method when manufacturing bread with added $\alpha$-azuki bean powder. These sensory characteristics were designed to investigate sensory evaluation about appearance, color, texture, taste and overall acceptability of small red bean bread by balanced incomplete block design. According to evaluated mean of adjusted treatments, appearance was represented high value in bread with added 3% and 6% $\alpha$-azuki bean powder than bread without $\alpha$-azuki bean powder. Bread without $\alpha$-azuki bean powder was revealed maximum sensory score value of color among whole treatments and vread with added 6% $\alpha$-azuki bean powder was revealed second highest sensory value. As $\alpha$-azuki bean powder content increased, sensory score of texture, taste and overall acceptability increased. and bread added 12% $\alpha$-azuki bean powder revealed maximum sensory score. On the results of this research about sensory characteristics for manufacturing bread with added $\alpha$-azuki bean powder, bread with added $\alpha$-azuki bean powder was considered optimum when12% $\alpha$-azuki bean powder was added wheat flour because of highest score of texture, taste and overall acceptability in spite of lower score of appearance and color.

• Journal of the East Asian Society of Dietary Life
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• v.16 no.6
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• pp.747-752
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• 2006

This study developed gasiogapidduk to increase the functional value and flavor of traditional Baiksulgi by adding gasiogapi powder. Powdered nonglutinous rice was mixed with powdered leaves (1%, 2%, 3%), powdered stems roots (1%, 3%, 5%), and powdered freeze-dried root extracts (5%, 10%, 15%) of Acanthopanax senticosus, known as the second ginseng, in order to find the combination ratio optimal to the senses. Sensory evaluation and texture characteristic evaluation of gasiogapidduk were used to develop a functional rice cake appealing to the largest number of people. Sensory evaluation consisted of evaluating color, smell, taste and texture, preference quality which reflects overall appeal. Texture characteristics were evalauated on hardness, adhesiveness, cohesiveness, springiness and gumminess. As a result, AE5 mixed with 5% powdered freeze-dried Acanthopanax senticosus extract proved to be the most desirable in both sensory evaluation and texture characteristics.

• Journal of the East Asian Society of Dietary Life
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• v.9 no.4
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• pp.452-460
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• 1999

This study was conducted in order to investigate the quality characteristics of Salku Pyun which was made by using mungbean, potato, sweet potato and corn starches. The pH of salku juice was 3.45 to 3.50 and the brix of that was 7.0%. The water content and water activity of salku pyun with potato starch was highest. The result of sensory evaluation showed that appearance, flavor, overall quality were highest in the Salku Pyun made with potato starch while texture, taste were highest in the Salku Pyun made with mungbean starch. Mechanical properties of salku pyun with mungbean starch was significantly higher in adhesiveness, hardness, chewiness. Texture of sensory evaluation were positively correlated with springiness, hardness, and chewiness of mechanical measurement. The factors which affect the overall quality on sensory evaluation were texture quality, taste quality, hardness, color and springiness.

• Korean journal of food and cookery science
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• v.18 no.1
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• pp.81-86
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• 2002

Yackwa was prepared by the addition of different amounts of egg white, and the samples were analyzed by texture profile analysis, Hunter's colorimetry and sensory evaluation during 5 days of storage. Tn texture profile analysis, the hardness, gumminess and chewiness of Yackwa were increased in all the samples during storage and the texture parameters were increased by increasing egg white level. No significant difference was observed in the lightness, redness and yellowness (p〉0.05), but Hunter's color values were slightly increased during storage in all the samples. In sensory evaluation, no significant difference was observed among the samples during storage except the increase of crispiness and overall acceptance by the addition of egg white. The results showed that Yackwa prepared with 10 g of egg white/(100 g of other ingredients ---약과재료 얼마당 10g 첨가인지 명확히 해야 함) had an acceptable sensory quality.

• Korean Journal of Human Ecology
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• v.8 no.2
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• pp.355-362
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• 1999

The purpose of this study is focused on the quality of Kimchi by sensory evaluation in 67 research papers published by 8 kinds of food & nutrition related Korean journals from $1970{\sim}1995$. The results are summarized as follows : 1) Among 126 research papers on Kimchi, sensory evaluation results were shown in 67 papers. 2) The numbers of panelists for sensory evaluation were $10{\sim}12$ in 32 papers, $7{\sim}9$ in 15 papers, and $4{\sim}6$ in 6 papers. 3) The method of sensory evaluation applied was scoring test in all 67 papers. Among them, 25 papers utilized 5-points scale, 16 papers 9-points scale, and 11 papers 7-points scale evaluation. 4) Evaluated sensory characteristics were taste, texture, odor, appearance & color, and others. Sourness, salty, and carbonic taste in taste; hardness, crispness, and toughness in texture; moldy, acidic, and grassy odor in odor were the most frequently tested characteristics. 5) Fermentation/storage periods, fermentation/storage temperature, and concentration of salt/time of soaking in salt solution were the most frequently tested variables. 6) To evaluate the statistical difference, 31 papers applied F-test, and 9 papers were applied Duncan's multiple range test to determine which samples are significantly different from others. In 6 papers, correlation coefficients were calculated between sensory evaluation scores and the results of mechanical determinations.

• Journal of the East Asian Society of Dietary Life
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• v.13 no.4
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• pp.318-325
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• 2003

The purpose of this study was to investigate quality characteristics of Seolgidduk containing 0, 3, 5, 7 and 9％ Poria cocos Wolf powder during the storage at 2$0^{\circ}C$ by measuring water content, color value, texture and sensory characteristics. By increasing the amount of Poria cocos Wolf powder, water content of Seolgidduk did not show any significant difference during storage. Hunter color L value of Seolgidduk decreased, and a and b value increased significantly by increasing the amount of Poria cocos Wolf powder. The cohesiveness of Seolgidduk decreased but adhesiveness, gumminess and chewiness were not significantly different by increasing the amount of Poria cocos Wolf powder. 3％ Poria cocos Wolf added Seolgidduk was the highest in color, odor, taste, softness, moistness and overall preference from the sensory evaluation. Above results indicated that 3％ Poria cocos Wolf added Seolgidduk showed the best quality through sensory and texture analysis.