基于无机多元素分析鉴别我国主要进口大米产地

Geographical origin identification of major rice imported to China based on inorganic multi-element analysis

中文关键词:  无机多元素分析  进口大米  产地鉴别

英文关键词:inorganic multi-element analysis  imported rice  geographical origin identification

中文摘要:

      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。

英文摘要:

      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.