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作 者:谢建军 曾广丰 丁博 王璐 侯颖烨 陈文锐 王志元 李菊 Xie Jianjun;Zeng Guangfeng;Ding Bo;Wang Lu;Hou Yingye;Chen Wenrui;Wang Zhiyuan;Li Ju(Guangzhou Customs Technology Center,Guangzhou 510623,China;Guangzhou Medical University,Guangzhou 511436,China)
机构地区:[1]广州海关技术中心,广州510623 [2]广州医科大学,广州511436
出 处:《化学分析计量》2021年第10期12-17,共6页Chemical Analysis And Meterage
基 金:海关总署科技计划项目(No.2019HK114);广州市科信局科技计划项目(No.202002030214)。
摘 要:利用元素分析-同位素比质谱仪(EA-IRMS)测定了来自美国、巴西、阿根廷和加拿大产的60份大豆样品中水溶性蛋白质的δ^(13)C、δ^(15)N、δ^(18)O和δ^(2)H值,采用OPLS-DA统计分析方法构建大豆产地溯源模型。大豆水溶性蛋白质δ^(13)C、δ^(15)N、δ^(18)O和δ^(2)H值分别为-24.675‰~-29.490‰,-1.595‰~2.537‰,15.749‰~25.127‰,-33.504‰~-118.697‰。比较PCA和OPLS-DA两种统计分析方法显示,OPLS-DA统计分析方法建立的大豆产地溯源鉴别模型识别准确率更高,δ^(15)N、δ^(2)H、δ^(18)O和δ^(13)C在溯源模型中对产地识别的贡献度VIP值分别为1.069,1.045,1.035,0.834。大豆水溶性蛋白质δ^(13)C、δ^(15)N、δ^(18)O和δ^(2)H产地溯源OPLS-DA模型可鉴别美国、加拿大、巴西和阿根廷四个国家生产的大豆样品,在此基础上构建美国与其他3个国家的两两产地识别模型,可准确鉴别美国产大豆,识别准确率为100%。该研究方法和所构建的模型可应用于美国、巴西、阿根廷和加拿大产大豆的产地溯源。Theδ^(13)C,δ^(15)N,δ^(18)O andδ2 H of water-soluble proteins in 60 soybean samples from the United States,Brazil,Argentina and Canada were determined by elementary analysis-isotope ratio mass spectrometry(EA-IRMS).The origin traceability model of soybean was established by using OPLS-DA statistical analysis method.Theδ^(13)C,δ^(15)N,δ^(18)O andδ2 H values of soybean water-soluble proteins determined by EA-IRMS ranged from-24.675‰to-29.490‰,from-1.595‰to 2.537‰,from 15.749‰to 25.127‰,and from-33.504‰to-118.697‰,respectively.The comparison of PCA and OPLS-DA showed that the identification accuracy of soybean origin traceability model established by OPLS-DA statistical method was higher.The VIP value ofδ^(15)N,δ2 H,δ^(18)O andδ^(13)C for traceability model to geographic identification was 1.069,1.045,1.035 and 0.834,respectively.The OPLS-DA model for the origin traceability of the water�soluble soybean proteinsδ^(13)C,δ^(15)N,δ^(18)O andδ2 H could be used to identify the soybean samples from the United States,Canada,Brazil and Argentina.On the basis of this,the pair recognition model of American and other three producing areas was built respectively,while the identification accuracy was 100%.The method and model established in this study can be applied to the geographic traceability of soybeans produced in the United States,Brazil,Argentina and Canada.
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