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

被引:49
|
作者
Choe, Jee-Hwan [1 ]
Choi, Mi-Hee [1 ]
Rhee, Min-Suk [1 ]
Kim, Byoung-Chul [1 ]
机构
[1] Korea Univ, Coll Life Sci & Biotechnol, Div Food Biosci & Technol, Seoul 136701, South Korea
来源
关键词
Warner-Bratzler Shear Force; Texture Profile Analysis; Sensory Evaluation; Pork Loin Tenderness; MUSCLE-FIBER CHARACTERISTICS; M.-LONGISSIMUS-THORACIS; EATING QUALITY; MEAT QUALITY; RAW MEAT; BEEF; TEMPERATURE; LUMBORUM; RATINGS; TRAITS;
D O I
10.5713/ajas.15.0482
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
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.
引用
收藏
页码:1029 / 1036
页数:8
相关论文
共 49 条
  • [31] Prediction equations for Warner-Bratzler shear force using principal component regression analysis in Brahman-influenced Venezuelan cattle
    Jerez-Timaure, N.
    Huerta-Leidenz, N.
    Ortega, J.
    Rodas-Gonzalez, A.
    [J]. MEAT SCIENCE, 2013, 93 (03) : 771 - 775
  • [32] BEEF ACCEPTABILITY AS RATED BY A PANEL OF FAMILIES AND THE WARNER-BRATZLER SHEAR, USING LOIN STEAKS AND CHUCK ROASTS FROM CATTLE OF KNOWN HISTORY
    KING, GT
    BUTLER, OD
    SIMMS, RL
    [J]. JOURNAL OF ANIMAL SCIENCE, 1958, 17 (04) : 1152 - 1152
  • [33] Heritabilities, genetic and phenotypic correlations among Warner-Bratzler shear force and repeated objective measurements of temperament in fed cattle.
    Weaber, R. L.
    Taxis, T. M.
    Shafer, W. R.
    Berger, L. L.
    Faulkner, D. B.
    Rolf, M. M.
    Dow, D. L.
    Taylor, J. F.
    Lorenzen, C. L.
    [J]. JOURNAL OF DAIRY SCIENCE, 2010, 93 : 744 - 745
  • [34] Constraints on establishing threshold levels for Warner-Bratzler shear-force values based on consumer sensory ratings for seven beef muscles
    Powell, L.
    Nicholson, K. L.
    Huerta-Montauti, D.
    Miller, R. K.
    Savell, J. W.
    [J]. ANIMAL PRODUCTION SCIENCE, 2011, 51 (10) : 959 - 966
  • [35] Comparison of Warner-Bratzler shear force values between round and square cross-section cores from cooked beef and pork Longissimus muscle
    Silva, Douglas R. G.
    Torres Filho, Robledo A.
    Cazedey, Henrique P.
    Fontes, Paulo R.
    Ramos, Alcineia L. S.
    Ramos, Eduardo M.
    [J]. MEAT SCIENCE, 2015, 103 : 1 - 6
  • [36] National Beef Tenderness Survey-2010: Warner-Bratzler shear force values and sensory panel ratings for beef steaks from United States retail and food service establishments
    Guelker, M. R.
    Haneklaus, A. N.
    Brooks, J. C.
    Carr, C. C.
    Delmore, R. J., Jr.
    Griffin, D. B.
    Hale, D. S.
    Harris, K. B.
    Mafi, G. G.
    Johnson, D. D.
    Lorenzen, C. L.
    Maddock, R. J.
    Martin, J. N.
    Miller, R. K.
    Raines, C. R.
    VanOverbeke, D. L.
    Vedral, L. L.
    Wasser, B. E.
    Savell, J. W.
    [J]. JOURNAL OF ANIMAL SCIENCE, 2013, 91 (02) : 1005 - 1014
  • [37] Consumer responses for tenderness and overall impression can be predicted by visible and near-infrared spectroscopy, Meullenet-Owens razor shear, and Warner-Bratzler shear force
    Yancey, J. W. S.
    Apple, J. K.
    Meullenet, J. -F.
    Sawyer, J. T.
    [J]. MEAT SCIENCE, 2010, 85 (03) : 487 - 492
  • [38] A comparison between two methods (Warner-Bratzler and texture profile analysis) for testing either raw meat or cooked meat
    de Huidobro, FR
    Miguel, E
    Blázquez, B
    Onega, E
    [J]. MEAT SCIENCE, 2005, 69 (03) : 527 - 536
  • [39] Benchmarking carcass characteristics and muscles from commercially identified beef and dairy cull cow carcasses for Warner-Bratzler shear force and sensory attributes
    Stelzleni, A. M.
    Patten, L. E.
    Johnson, D. D.
    Calkins, C. R.
    Gwartney, B. L.
    [J]. JOURNAL OF ANIMAL SCIENCE, 2007, 85 (10) : 2631 - 2638
  • [40] Warner-Bratzler Shear Force, Sarcomere Length, Total Collagen Contents and Sensory Characteristics of Hanwoo Beef (Korean Native Cattle) Quality Grade
    Lee, Yeon-Jung
    Kim, Cheon-Jei
    Park, Beom-Young
    Seong, Pil-Nam
    Kim, Jin-Hyong
    Kang, Guen-Ho
    Kim, Dong-Hun
    Cho, Soo-Hyun
    [J]. KOREAN JOURNAL FOR FOOD SCIENCE OF ANIMAL RESOURCES, 2009, 29 (06) : 726 - 735