flavor evaluation
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2021 ◽  
Vol 25 (4) ◽  
pp. 419-427
Author(s):  
Ye Seul Kwon ◽  
Jin Ah Jeon ◽  
Seok Tae Jeong ◽  
Han Seok Choi ◽  
Ji Eun Kang
Keyword(s):  

Foods ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 2152
Author(s):  
Sin-Young Park ◽  
Hack-Youn Kim

This research evaluated the properties of cured chicken breasts of broiler chicken with different marketing ages (28, 30, 32, and 34 day). The water contents in the proximate compositions of the samples tended to decrease with increasing marketing age, while the protein content increased. The samples’ uncooked and cooked pH values, WHC, and cooking yield increased with increasing marketing age; however, the WHC and cooking yield were not significantly different between the 32 and 34 day samples (p > 0.05). In the case of the color, the 34 day samples were significantly lower in terms of lightness, but significantly higher in redness and yellowness compared to the other samples (p < 0.05). Although the shear forces of the 28–32 day samples were not significantly different (p > 0.05), those of the 28 and 30 day samples were significantly lower than those of the 34 day sample (p < 0.05). Furthermore, the aromatic profile (determined by principal component analysis) of the 34 day sample differed from that of the 28–32 day samples. Flavor evaluation of the cooked 30 and 32 day samples showed significant differences compared to the 28 and 34 day samples (p < 0.05), and the texture evaluation showed that the 34 day sample obtained a significantly lower score than the 28 day sample (p < 0.05). Overall, these results suggest that the current broiler marketing age of 32 day results in suitable quality properties for broiler cured chicken breast.


2021 ◽  
Vol 19 (1) ◽  
pp. 152-162
Author(s):  
Iwona Wojtasik-Kalinowska ◽  
Anna Onopiuk ◽  
Arkadiusz Szpicer ◽  
Agnieszka Wierzbicka ◽  
Andrzej Półtorak

Foods ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 510 ◽  
Author(s):  
Thao Tran ◽  
Edgar Chambers

This study investigated suitable approaches and effective applications for the evaluation of grain flavor differences among cultivars. A model system that helps to facilitate the characterization of flavors in grain varieties was developed using sorghum grain as a tool. Five different applications were initially used, including cooked grain, porridge, cookies, muffins, and extruded puffed snacks. Six highly trained sensory panelists participated in the project. The effectiveness of each application was determined based on the results of the attribute generation process and from panelist feedback. The results indicate that the combination of a cooked whole grain procedure and the use of flour made into cookies provides an effective and potent model for flavor characterization in both their grain form and as finished products. Both the recipes for the cooked grain and cookie applications effectively brought out the flavor characteristics of the grains as well as differentiated the flavor differences between grain cultivars. The developed model can be applied for the flavor evaluation of multiple grain types and can help researchers understand the flavor differences among grain cultivars. As a result, such knowledge will help to facilitate the selection of suitable products with favorable characteristics for specific applications as well as for selective breeding purposes.


2020 ◽  
Author(s):  
Jian Li ◽  
Meilan Chen ◽  
Qingzhong Mao ◽  
Yiming Li

Molecules ◽  
2019 ◽  
Vol 24 (13) ◽  
pp. 2384 ◽  
Author(s):  
Mengzhu Shui ◽  
Tao Feng ◽  
Yanzun Tong ◽  
Haining Zhuang ◽  
Chihkang Lo ◽  
...  

Sweet orange flavor, with its refreshing, joyful and attractive aroma, is favored by the majority of consumers all over the world. However, the industry terminology between flavorists for flavor evaluation is a bit vague and not intuitive for customers. Therefore, the study focused on analysis of sweet orange aroma and establishment of base module of orange flavor. The approach to the research involves screening key aroma compounds, identifying the attributes aroma and building base module of sweet orange. The notes of sweet orange flavor were determined by GC-O olfaction and sensory evaluation. 25 key aroma compounds with OAV ≥ 1 were screened and divided into eight notes: citrus, fruity, fresh, green, peely, woody, fatty, floral. Partial least squares regression (PLSR) was used to further verify the corresponding relationship between the volatile substances and notes. Terpenes, esters, aldehydes and alcohols compounds can provide these notes. Based on the notes, 8 base modules of sweet orange were built by selecting and matching aroma ingredients. Through this study, beginners could be trained according to the 8 notes of base modules and flavorists can engage in dialogue with different raw material sourcing teams or providers.


2019 ◽  
Vol 3 (2) ◽  
pp. 96-96
Author(s):  
C. Pena ◽  
T. Cramer ◽  
B. Schilling ◽  
R. Miller ◽  
C. Kerth ◽  
...  

2013 ◽  
Vol 28 (5) ◽  
pp. 387-395 ◽  
Author(s):  
Laura Vázquez-Araújo ◽  
Debbie Parker ◽  
Eleanor Woods

2012 ◽  
pp. 227-232 ◽  
Author(s):  
T. Vandendriessche ◽  
S. Vermeir ◽  
C. Mayayo Martinez ◽  
J. Lammertyn ◽  
B.M. Nicolaï ◽  
...  

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