文献类型: 会议论文
第一作者: Haiyan Luo
作者: Haiyan Luo 1 ; Wenshen Jia 2 ; Yong Yang 3 ;
作者机构: 1.College of Information and Electrical Engineering Shenyang Agricultural University, 120 Dongling Road, Shenhe District, Shenyang, China
2.Department of Beijing Research Center for Agricultural Standards and Testing, Beijing Academy of Agriculture and Forestry Science, Beijing 100097, China
3.College of Information and Electrical Engineering Shenyang Agricultural University, 120 DonglingRoad, Shenhe District, Shenyang, China
关键词: NIR;Meat;Quality;Discrimination
会议名称: Annual International Meeting of the American Society of Agricultural and Biological Enginners
主办单位:
页码: 2373-2376
摘要: Near-infrared (NIR) spectroscopy, as a new optical inspection technology, has been widely used in food industry. This paper firstly introduced the theory of NIR spectroscopic analysis, compared spectroscopic data pretreatment with analysis and identification by models, and then expounded NIR spectroscopy's important applications in meat industry and the research progress in this field. The applications include quantitative prediction of nutritive indexes in meat, quantitative prediction of quality parameters in meat, and applications in identifying meat adulteration and meat freshness. At the end, it looked to the future of this technology based on the current development tendency.
分类号: S-532
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