张小莉,魏 玲,李宝明,程小艳,李 萌,武会娟.肉制品掺假鉴别技术研究进展[J].食品安全质量检测学报,2014,5(10):3190-3196
肉制品掺假鉴别技术研究进展
Research progress of identification techniques for meat products adulteration
投稿时间:2014-08-19  修订日期:2014-10-11
DOI:
中文关键词:  肉类掺假  定量检测  溯源分析
英文关键词:meat adulteration  quantitative detection  traceable analysis
基金项目:
作者单位
张小莉 北京市理化分析测试中心 
魏 玲 北京市理化分析测试中心 
李宝明 北京市理化分析测试中心 
程小艳 北京市理化分析测试中心 
李 萌 北京市理化分析测试中心 
武会娟 北京市理化分析测试中心 
AuthorInstitution
ZHANG Xiao-Li Beijing Centre for Physical 
WEI Ling Beijing Centre for Physical & Chemical Analysis 
LI Bao-Ming Beijing Centre for Physical & Chemical Analysis 
CHENG Xiao-Yan Beijing Centre for Physical & Chemical Analysis 
LI Meng Beijing Centre for Physical & Chemical Analysis 
WU Hui-Juan Beijing Centre for Physical 
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全文下载次数: 1966
中文摘要:
      肉制品在食品消费中占很大比例, 近年来, 肉制品掺假问题日益严重, 肉制品掺假鉴别和溯源分析成为研究热点。传统的通过感官及形态的肉类鉴别方法已经不能满足肉类掺假鉴别的需要。随着现代分析仪器和生物技术的发展, 多种蛋白质分析法、DNA分析法和无损检测方法日趋成熟。基于蛋白质的检测方法, 如免疫分析法和色谱分析法均可定量检测, 但不适用于加工肉制品。基于样品特征光谱的无损检测方法操作简单, 检测时间短, 具有独特的优势。基于DNA的检测方法, 特别是荧光定量PCR方法具有检测灵敏度高, 结果重复性好等优势, 将成为未来肉类物种鉴别的发展方向, 具有很好的应用前景。
英文摘要:
      As a large proportion of food consumption, meat products play an important role in the day life. In recent years, meat adulteration problem is increasingly serious, and identification and traceability of meat adulteration analysis become a hot topic. Traditional meat sensory and morphological identification methods cannot meet the needs of meat authentication. With the development of modern analytical instrumentation and biotechnology, a variety of protein analysis, DNA analysis and nondestructive testing technology become more sophisticated. Protein-based detection methods, such as immunoassay and chromatography, can detect quantitatively, but not for processed meat. Non-destructive testing method based on the spectral characteristics of the sample is simple, short detection time, has a unique advantage. DNA-based detection methods, especially quantitative PCR detection method has high sensitivity, good reproducibility of the results and other advantages, will become the future direction of the meat species identification, and has good prospects.
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