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基于无机多元素分析鉴别我国主要进口大米产地 被引量:1

Geographical origin identification of major rice imported to China based on inorganic multi-element analysis
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摘要 目的利用大米中无机多元素分析数据建立判别模型,鉴别我国4个进口大米主要产地。方法采用电感耦合等离子体质谱法(inductively coupled plasma mass spectrometry,ICP-MS)和电感耦合等离子体发射光谱法(inductively coupled plasma optical emission spectrometry,ICP-OES)测定泰国、巴基斯坦、柬埔寨、缅甸4个产地的76份大米样本中磷、钾、镁、钙、锌、钠、锰、铁等46种无机元素含量。通过对检测数据进行单因素方差分析、Fisher判别分析,建立了产地判别模型。结果4个产地大米的部分元素存在显著性差异,产地判别模型的原始校验准确率100%,交叉验证准确率96.1%。结论所建方法和判别模型对泰国、巴基斯坦、柬埔寨、缅甸所产大米具有很好的产地鉴别能力。 Objective To identify the origin of main imported rice in China by using the data of inorganic multi-element analysis to establish discrimination model.Methods The contents of 46 kinds of elements(such as P,K,Mg,Ca,Zn,Na,Mn,Fe,etc.)of 76 rice samples collected from Thailand,Pakistan,Cambodia,Myanmar were determined by inductively coupled plasma mass spectrometry(ICP-MS)and inductively coupled plasma optical emission spectrometry(ICP-OES).Through one-way analysis of variance and Fisher discriminant analysis,the origin discrimination model was established.Results There were significant differences in the contents of some elements of the rice samples from 4 countries.The accurate discrimination ratio of initial verification was 100%,and the accurate discrimination ratio of cross validation was 96.1%.Conclusion The method and model have good identification ability for rice produced in Thailand,Pakistan,Cambodia and Myanmar.
作者 颜治 林起辉 雷红琴 林妮 赵旭 徐颖洁 吴浩 YAN Zhi;LIN Qi-Hui;LEI Hong-Qin;LIN Ni;ZHAO Xu;XU Ying-Jie;WU Hao(Food Inspection and Quarantine Technology Center of Shenzhen Customs District,Shenzhen 518045,China;Technology Center of Yining Customs District,Yining 835000,China)
出处 《食品安全质量检测学报》 CAS 北大核心 2021年第13期5455-5462,共8页 Journal of Food Safety and Quality
基金 海关总署科技计划项目(2019HK108)。
关键词 无机多元素分析 进口大米 产地鉴别 inorganic multi-element analysis imported rice geographical origin identification
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