基于矿物质元素指纹特征的野米产地溯源研究

Research on origin traceability of wild rice based on mineral element fingerprint characteristics

中文关键词:  野米  矿物质元素  产地溯源  电感耦合等离子体质谱

英文关键词:wild rice  mineral elements  fingerprint characteristics  origin traceability  principal component analysis  discriminant analysis

中文摘要:

      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。

英文摘要:

      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.