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近红外光谱技术在肉品掺假检测方面的研究进展
引用本文:何鸿举,王魏,马汉军,刘苏汉,陈复生,康壮丽,潘润淑,朱明明,赵圣明,王正荣.近红外光谱技术在肉品掺假检测方面的研究进展[J].食品工业科技,2020,41(3):345-350,356.
作者姓名:何鸿举  王魏  马汉军  刘苏汉  陈复生  康壮丽  潘润淑  朱明明  赵圣明  王正荣
作者单位:1. 河南科技学院食品学院, 河南新乡 453003;2. 河南科技学院博士后研发基地, 河南新乡 453003;3. 河南科技学院新科学院, 河南新乡 453003;4. 河南工业大学粮油食品学院, 河南郑州 450001
基金项目:河南科技学院高层次人才引进项目(2015015)河南省青年人才托举工程项目(2018HYTP008)中国博士后科学基金(2018M632767)河南科技学院重大科研培育项目(2016ZD03)河南省科技攻关项目(182102310060,182102110091)河南省重大科技专项项目(161100110600)河南省博士后科研项目(001801021)河南科技学院大学生"百农英才"项目(BNYC2017-2-02)。
摘    要:近红外光谱(Near-Infrared Spectroscopy,NIRS)技术是一种通过获取被测样品的近红外光谱信息,并使用化学计量学方法挖掘被测样品指标和光谱信息之间定性定量关系的一种无损分析技术。该技术通过构建精确度高、稳定性好的数学模型,可在不破坏样品完整性和无需样品前处理的前提下获取被测样品信息,实现肉品掺假成分及掺假量的快速预测,目前在肉品掺假方面已有大量研究且应用潜力巨大。本文主要综述了2010年至今NIRS用于肉品掺假研究方面的研究进展和最新成果,可为后续研发肉品掺假无损快检设备提供数据支撑和理论参考。

关 键 词:NIRS    掺假    肉品    光谱    食品安全
收稿时间:2019-05-13

Research Progress on Near-infrared Spectroscopy for Meat Adulteration
HE Hong-ju,WANG Wei,MA Han-jun,LIU Su-han,CHEN Fu-sheng,KANG Zhuang-li,PAN Run-shu,ZHU Ming-ming,ZHAO Sheng-ming,WANG Zheng-rong.Research Progress on Near-infrared Spectroscopy for Meat Adulteration[J].Science and Technology of Food Industry,2020,41(3):345-350,356.
Authors:HE Hong-ju  WANG Wei  MA Han-jun  LIU Su-han  CHEN Fu-sheng  KANG Zhuang-li  PAN Run-shu  ZHU Ming-ming  ZHAO Sheng-ming  WANG Zheng-rong
Affiliation:1. School of Food Science, Henan Institute of Science and Technology, Xinxiang 453003, China;2. Postdoctoral Research and Development Base, Henan Institute of Science and Technology, Xinxiang 453003, China;3. Xinke College of Henan Institute of Science and Technology, Xinxiang 453003, China;4. College of Grain, Oil and Food, Henan University of Technology, Zhengzhou 450001, China
Abstract:Near-infrared spectroscopy(NIRS)technology is a nondestructive analysis technology to develop the qualitative and quantitative relationship between tested sample index and spectral information using chemometrics methods. Due to the advantages including nondestructive,without pretreatment and rapid information acquisition,NIRS has been studied in the meat adulteration by means of building mathematic model with high precision and stability to predict the adulterated meat ingredients and adulterated amount in a rapid way,showing a great potential in application at present. In this paper,we review the recent progresses on NIRS for meat adulteration since 2010,which provides data support and reference for the research and development of non-destructive analysis and detection equipment in meat adulteration.
Keywords:
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