Discrimination of beef dark cutters using visible and near infrared reflectance spectroscopy

被引:22
|
作者
Prieto, N. [1 ,2 ]
Lopez-Campos, O. [2 ,3 ]
Zijlstra, R. T. [1 ]
Uttaro, B. [2 ]
Aalhus, J. L. [2 ]
机构
[1] Univ Alberta, Dept Agr Food & Nutr Sci, Agr Forestry Ctr 4 10, Edmonton, AB T6G 2P5, Canada
[2] Agr & Agri Food Canada, Lacombe Res Ctr, Lacombe, AB T4L 1W1, Canada
[3] Livestock Gentec, Edmonton, AB T6G 2C8, Canada
关键词
Beef; dark cutter; discriminant analysis; near infrared reflectance spectroscopy; ULTIMATE PH; CUTTING BEEF; YOUNG BULLS; MEAT; CARCASSES; COLOR; MUSCLES; IDENTIFICATION; CLASSIFICATION; CATTLE;
D O I
10.4141/CJAS-2014-024
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 examined the potential of visible and near infrared reflectance spectroscopy (Vis-NIRS) to segregate dark cutters from normal beef. One hundred and twenty beef carcass sides were selected from a slaughter plant by experienced graders according to their carcass grade: 60 A grade carcasses (normal) and 60 B4 grade carcasses (dark cutters). At approximately 48 h post mortem, a 2.5-cm-thick steak (at similar to 7/8th thoracic vertebrae) was removed, vacuum packaged and frozen at -25 degrees C until spectra collection. Four Vis-NIRS analyses were performed with different instruments and sample presentation. Partial least squares discriminant analysis based on Vis-NIR spectra correctly classified 95% of the intact non-oxygenated beef samples from both A and B4 grade carcasses using a portable LabSpec (R) 4 spectrometer, and 88 and 93% of the intact beef samples from A and B4 grade carcasses, respectively after 20 min of exposure to atmospheric oxygen. When a bench top NIRSystems 6500 monochromator was used, 90% of the bloomed intact beef samples were correctly assigned to both A and B4 grading categories, and 90 and 91%, respectively, of the bloomed homogenized samples. Further work remains to be carried out to develop robust Vis-NIRS models to be implemented on-line in the abattoir, where portable equipment applied directly on the carcass could objectively assist in dark-cutting carcass segregation.
引用
收藏
页码:445 / 454
页数:10
相关论文
共 50 条
  • [21] Discrimination of Producing Areas of Auricularia auricula Using Visible/Near Infrared Spectroscopy
    Fei Liu
    Yong He
    Food and Bioprocess Technology, 2011, 4 : 387 - 394
  • [22] Prediction of Minced Pork Quality Attributes Using Visible and Near Infrared Reflectance Spectroscopy
    Fan Yu-xia
    Liao Yi-tao
    Cheng Fang
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2011, 31 (10) : 2734 - 2737
  • [23] Prediction of Soil Nutrient Contents Using Visible and Near-Infrared Reflectance Spectroscopy
    Peng, Yiping
    Zhao, Li
    Hu, Yueming
    Wang, Guangxing
    Wang, Lu
    Liu, Zhenhua
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2019, 8 (10)
  • [24] Rapid compositional analysis of oysters using visible-near infrared reflectance spectroscopy
    Brown, Malcolm R.
    AQUACULTURE, 2011, 317 (1-4) : 233 - 239
  • [25] Research on Prediction Chemical Composition of Beef by Near Infrared Reflectance Spectroscopy
    Sun Xiao-ming
    Lu Ling
    Zhang Jia-cheng
    Zhang Song-shan
    Sun Bao-zhong
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2011, 31 (02) : 379 - 383
  • [26] Authentication of barley-finished beef using visible and near infrared spectroscopy (Vis-NIRS) and different discrimination approaches
    Barragan, W.
    Aalhus, J. L.
    Penner, G.
    Dugan, M. E. R.
    Juarez, M.
    Lopez-Campos, O.
    Vahmani, P.
    Segura, J.
    Angulo, J.
    Prieto, N.
    MEAT SCIENCE, 2021, 172
  • [27] Ultraviolet-visible, near infrared and mid infrared reflectance spectroscopy of turquoise
    Reddy, B. Jagannatha
    Frost, Ray L.
    Weier, Matt L.
    Martens, Wayde N.
    JOURNAL OF NEAR INFRARED SPECTROSCOPY, 2006, 14 (04) : 241 - 250
  • [28] Nondestructive determination of water content in beef using visible/near-infrared spectroscopy
    Tang, Xiuying
    Niu, Lizhao
    Xu, Yang
    Peng, Yankun
    Ma, Shibang
    Tian, Xiaoyu
    Xu, Y. (xuyang@cau.edu.cn), 2013, Chinese Society of Agricultural Engineering (29): : 248 - 254
  • [29] DISCRIMINATION OF LODGED RICE BASED ON VISIBLE/NEAR INFRARED SPECTROSCOPY
    Liu Zhan-Yu
    Wang Da-Cheng
    Li Bo
    Huang Jing-Feng
    JOURNAL OF INFRARED AND MILLIMETER WAVES, 2009, 28 (05) : 342 - 345
  • [30] Discrimination between fresh and frozen-then-thawed beef M-longissimus dorsi by combined visible-near infrared reflectance spectroscopy: A feasibility study
    Downey, G
    Beauchene, D
    MEAT SCIENCE, 1997, 45 (03) : 353 - 363