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中国精品科技期刊2020
刘春娥, 林洪, 宋雁, 郭斌, 刘兆平, 隋建新. 基于稀土元素指纹分析技术的紫菜产地溯源[J]. 食品工业科技, 2016, (10): 57-61. DOI: 10.13386/j.issn1002-0306.2016.10.002
引用本文: 刘春娥, 林洪, 宋雁, 郭斌, 刘兆平, 隋建新. 基于稀土元素指纹分析技术的紫菜产地溯源[J]. 食品工业科技, 2016, (10): 57-61. DOI: 10.13386/j.issn1002-0306.2016.10.002
LIU Chun-e, LIN Hong, SONG Yan, GUO Bin, LIU Zhao-ping, SUI Jian-xin. Geographical origin traceability of laver based on rare earth element fingerprints[J]. Science and Technology of Food Industry, 2016, (10): 57-61. DOI: 10.13386/j.issn1002-0306.2016.10.002
Citation: LIU Chun-e, LIN Hong, SONG Yan, GUO Bin, LIU Zhao-ping, SUI Jian-xin. Geographical origin traceability of laver based on rare earth element fingerprints[J]. Science and Technology of Food Industry, 2016, (10): 57-61. DOI: 10.13386/j.issn1002-0306.2016.10.002

基于稀土元素指纹分析技术的紫菜产地溯源

Geographical origin traceability of laver based on rare earth element fingerprints

  • 摘要: 目的:探讨稀土元素指纹分析对紫菜产地溯源的可行性。方法:利用电感耦合等离子体质谱(ICP-MS)对南北两地区(江苏条斑紫菜,福建坛紫菜)的36个紫菜样品中16种稀土元素含量进行测定,并对数据进行聚类分析、主成分分析和判别分析,建立紫菜的产地判别模型。结果:聚类分析将紫菜分为五大类,主成分分析提取了两个主成分,占方差解释的97%,这两种分析方法均可以将不同省份的紫菜样品完全区分;Fisher线性判别(fisher linear discriminant analysis,FLD)验证了产地判别模型的适用性,对6个采样点的样品判别准确率达到100%。结论:稀土元素可以作为紫菜产地溯源的依据。 

     

    Abstract: Objective: Rare earth element( REE) fingerprints were studied to identify geographical regions of laver.Methods: 36 samples of laver were selected from two different origins of China,Jiangsu and Fujian. Inductively coupled plasma- mass spectrometry( ICP- MS) was applied to determine the contents of 16 rare earth elements in laver.Cluster analysis( CA),principal component analysis( PCA) and fisher linear discriminant analysis( FLD) were applied to differentiate the laver geographical origin.Results: The results of Q- type cluster analysis showed that 36 samples could be clustered reasonably into five groups.Two principal components which accounted for over 97%of the total variance were extracted from the standardized data. The CA and PCA were the effective methods for rare earth elements analysis of laver samples.By cross validation,FLD correctly classified 100.00% of laver samples from 6 regions respectively.Conclusion: Therefore,it is possible to identify geographical regions of laver based on rare earth element fingerprints and multiple statistical analysis.

     

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