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牛肉品质检测技术的研究进展 被引量:9

Research Progress on Detection Technology of Beef Quality
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摘要 牛肉品质检测在牛肉生产、加工和消费过程中起着重要的作用。本文介绍了剪切力测定、近红外光谱分析(NIR)和机器视觉三种牛肉品质测定方法的技术特点和国内外研究现状,着重介绍了机器视觉技术在牛肉颜色、大理石花纹、纹理和生理成熟度等品质参数测定方面的研究进展情况,指出机器视觉技术是未来牛肉品质检测研究的主要发展方向。 Beef quality detection plays an important role in production, processing and consumption of beef. This review introduced the characteristics, advantages, limits, potential and precent status of three detection technologies of beef quality: Wamer-Bratzler shear force (WBSF), near-infrared spectroscopy (NIR) and machine vision, and mainly disscussed the progress on measurement of color, marbling, texture and physiological maturity of beef by using machine vision technique. It was pointed out that machine vision technique was considered as the future trend for detection of beef quality.
出处 《食品科学》 EI CAS CSCD 北大核心 2009年第7期277-280,共4页 Food Science
关键词 牛肉 品质 近红外光谱分析(NIR) 机器视觉 检测 beef quality NIR machine vision detection
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参考文献51

  • 1SHACKELFORD S D, WHEELER T L, KOOHMARAIE M. Consumer impressions of tender select beef[J]. Journal of Animal Science, 2001, 79: 2605-2614.
  • 2HUFFMAN K L, MILLER M F, HOOVER L C, et al. Effect of beef tenderness on consumer satisfaction with steaks consumed in the home and restauraurant[J]. Journal of Animal Science, 1996, 74: 91-97.
  • 3LUSK K L, FOX J A, SCHROEDER T C, et al. In-store valuation of steak tenderness[J]. American Journal of Agriculture Economics, 2001, 83: 539-550.
  • 4SHACKELFORD S D, WHEELER T L, KOOHMARAIE M. Tenderness classification of beef: II. Design and analysis of a system to measure beef longissimus shear force under commercial processing conditions[J]. Journal of Animal Science, 1999, 77: 1474-1481.
  • 5SWATLAND H J, ANANTHANARAYANAN S P, GOLDENBERG A A. A review of probes and robots: Implementing new technologies in meat evaluation[J]. Journal of Animal Science, 1994, 72: 475-486.
  • 6BYRNE C E, TROY D J, DOWNEY G, et al. Near-infrared reflectance spectroscopy as ameat quality indicator[C]. Netherland: Proceedings 43th International Congress of Meat Science and Technology, 1997.
  • 7RAMSBOTTOM J M, STRANDINE E J, KOONZ C H. Comparative tenderness of representative beef muscles[J]. Food Research, 1945, 10: 497-509.
  • 8SHANKELFORD S D, WHEELER T L, KOOHMARIE M. Relationsnip between shear force and trained sensory panel tenderness ratings of 10 major muscles from Bos indicus and Bos taurus cattle[J]. Journal of Animal Science, 1995, 73: 3333-3340.
  • 9SHANKLFORD S D, WHEELER T L, KOOHMARAIE M. Tenderness classification of beef: I. Evaluation of beef longissimus shear forces at 1 or 2 days postmortem as a predictor of aged beef tenderness[J]. Journal of Animal Science, 1997, 75: 2417-2422.
  • 10SHANKELFORD S D, WHEELER T L, KOOHMARAIE M. Evaluation of slice shear force as an objective method of assessing beef longissimus tenderness[J]. Journal of Animal Science, 1999, 77: 2693-2699.

二级参考文献30

  • 1陈坤杰,姬长英.牛肉自动分级技术研究进展分析[J].农业机械学报,2006,37(3):153-156. 被引量:20
  • 2鲜于建川.[D].长春:吉林大学,2002.
  • 3Kazuhiko Shiranita, Kenichiro Hyashi, Akifumi Otsubo,et al. Grading meat quality by image processing. Pattern Recognition, 2000,33 : 97 - 104.
  • 4Li Jun, Tan Jinglu, Martz Fredric A. Predicting beef tenderness from image texture features. Proceedings of the 1997 ASAE Annual International Meeting. Part 1 (of 3). Minneapolis, MN, USA, 1997. 1-13.
  • 5Cross H R,et al.An Evaluation of the Accuracy and Uniformity of the USDA Beef Quality and Yield Grading System[R].A report from Science and Education Administration,Agricultural Research,USDA,Clay Center,Nebraska,1980.
  • 6Chen Y R.Application knowledge-based system to meat grading[C]∥AI Systems in Government Conference,Proceedings of the Annual,1989:120~123.
  • 7Chen Y R,McDonald T P.Artificial intelligence application in carcass beef grading automation[C]∥Intelligent Robots and Systems'90,271~278.
  • 8Chen Y R,Robinson S A.A real-time,knowledge-based system for grading carcass-beef[J].Transactions of the ASAE,1990(3):885~891.
  • 9Mcdonald T P,Chen Y R.Separating connected muscle tissues in images of beef carcass ribeyes[J].Transaction of the ASAE,1990,33(6):2 059~2 065.
  • 10Amin V R,Wilson D E,Roberts R,et al.Tissue characterization for beef grading using texture analysis of ultrasonic images[C]∥Ultrasonics Symposium,Proceedings IEEE,1993:969~972.

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