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Estimation of Sensory Pork Loin Tenderness Using Warner-Bratzler Shear Force and Texture Profile Analysis Measurements

Authors
Choe, Jee-HwanChoi, Mi-HeeRhee, Min-SukKim, Byoung-Chul
Issue Date
7월-2016
Publisher
ASIAN-AUSTRALASIAN ASSOC ANIMAL PRODUCTION SOC
Keywords
Warner-Bratzler Shear Force; Texture Profile Analysis; Sensory Evaluation; Pork Loin Tenderness
Citation
ASIAN-AUSTRALASIAN JOURNAL OF ANIMAL SCIENCES, v.29, no.7, pp.1029 - 1036
Indexed
SCIE
SCOPUS
KCI
Journal Title
ASIAN-AUSTRALASIAN JOURNAL OF ANIMAL SCIENCES
Volume
29
Number
7
Start Page
1029
End Page
1036
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/88176
DOI
10.5713/ajas.15.0482
ISSN
1011-2367
Abstract
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.
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Graduate School > Department of Biotechnology > 1. Journal Articles
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