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气相色谱-离子迁移谱应用于橄榄油的掺假鉴别
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  • 英文篇名:Establish Gas Chromatography-Ion Mobility Spectrometry(GC-IMS)Method for Identification of Olive Oil Adulteration
  • 作者:李淑静 ; 赵婷 ; 葛含光 ; 张敏 ; 俞子萱
  • 英文作者:LI Shu-jng;ZHAO Ting;GE Han-guang;ZHANG Min;YU Zi-xuan;Animal,Plant and Food Inspection Center,Tianjin Entry-Exit Inspection and Quarantine Bureau;
  • 关键词:气相色谱-离子迁移谱 ; 橄榄油 ; 掺假 ; 鉴别 ; 主成分分析
  • 英文关键词:gas chromatography-ion mobility spectrometry(GC-IMS);;olive oil;;adulteration;;identification;;principal component analysis(PCA)
  • 中文刊名:SPYK
  • 英文刊名:Food Research and Development
  • 机构:天津出入境检验检疫局动植物与食品检测中心;
  • 出版日期:2018-08-10
  • 出版单位:食品研究与开发
  • 年:2018
  • 期:v.39;No.340
  • 基金:国家质量监督检验检疫总局科技计划项目(2015IK279)
  • 语种:中文;
  • 页:SPYK201815023
  • 页数:8
  • CN:15
  • ISSN:12-1231/TS
  • 分类号:117-124
摘要
建立气相离子迁移谱(gas chromatography-ion mobility spectrometry,GC-IMS)测定橄榄油等油类中可挥发组分的检测方法,样品在60℃条件孵化10 min通过顶空直接进GC-IMS进行分析,通过分析软件实验室分析浏览器(library analysis viewer,LAV)内置的主成分分析(principal component analysis,PCA)分析程序对数据进行处理。结果表明:建立的气相离子迁移谱检测方法可以对橄榄油等植物油中挥发组分进行检测分析;通过PCA主成分分析可以将特级初榨橄榄油与其他油类(果渣油和其他植物油)进行分离,并可以对果渣油、玉米胚芽油、葵花籽油、精炼棕榈油、花生油和大豆油的掺假进行判别分析,掺假鉴别率可以低至5%。
        A gas chromatography-ion mobility spectrometry(GC-IMS) method was established for the determination of volatile components in olive oil. The procedure involves direct introduction of the olive oil samples into vial,headspace generation(incubation at 60 ℃ for 10 min),and automatic injection of the volatiles into a gas chromatography-ion mobility spectrometer. The data obtained after the analysis of olive oil and other vegetable oil were preprocessed and submitted to the built-in principal component analysis(PCA)program of the software library analysis viewer(LAV). A headspace device coupled to multi-capillary columnion mobility spectrometry had good performance in detecting volatiles in olive oils. The results from PCA showed extra virgin olive oil could be separated to other oils(pomace oil and other vegetable oils)and,adulteration of extra olive oil with pomace oil or corn oil or sunflower oil or refined palm oil or peanut oil or soybean oil was distinguished using PCA statistical analysis. The model was able to classify 100 % adulteration samples,and detected as low as 5 % of adulteration of extra olive oil with pomace oil,corn oil,sunflower oil,refined palm oil,peanut oil,soybean oil.
引文
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