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作 者:孙晓飞 孙瑶 杨爱馥 黄姝 董振霖 万超 SUN Xiao-Fei;SUN Yao;YANG Ai-Fu;HUANG Shu;DONG Zhen-Lin;WAN Chao(Technology Center of Dalian Customs District,Dalian 116001,China)
机构地区:[1]大连海关技术中心,大连116001
出 处:《食品安全质量检测学报》2025年第7期19-24,共6页Journal of Food Safety and Quality
基 金:海关总署科研项目(2021HK189,2023HK134)。
摘 要:目的分析不同地区野米中矿物元素的差异,建立基于矿物质元素指纹特征的野米产地溯源方法。方法应用电感耦合等离子体质谱法(inductively coupled plasma mass spectrometry,ICP-MS)分析来源于美国、加拿大和中国3个地域40个野米样品中24种矿物质元素含量,并对数据进行方差分析、多重分析、主成分分析和判别分析。探索矿物元素指纹特征对野米产地溯源的可行性。结果24种元素含量在产地间差异显著,主成分分析得到3个主成分,其累计方差贡献率达到93.1%。主成分分析可将产自美国和加拿大的野米区分开;判别分析中有97.7%的野米被正确识别。结论该研究对不同产地野米样品的分类具有可行性和准确性。Objective To analyze the differences in mineral elements in wild rice from different regions and establish a method for tracing the origin of wild rice based on mineral element fingerprint characteristics.Methods Inductively coupled plasma mass spectrometry(ICP-MS)was used to analyze the content of 24 kinds of mineral elements in 40 wild rice samples from the United States,Canada,and China.The data were subjected to variance analysis,multiple analysis,principal component analysis,and discriminant analysis to explore the feasibility of using mineral element fingerprint characteristics for tracing the origin of wild rice.Results The content of 24 kinds of elements showed significant differences among the regions.Principal component analysis extracted 3 principal components,with a cumulative variance contribution rate of 93.1%.Principal component analysis successfully distinguished wild rice from the United States and Canada.Discriminant analysis correctly identified 97.7%of the wild rice samples.Conclusion This study demonstrates the feasibility and accuracy of classifying wild rice samples from different origins.
关 键 词:野米 矿物质元素 指纹特征 产地溯源 主成分分析 判别分析
分 类 号:TP3[自动化与计算机技术—计算机科学与技术]
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