不同产地明日叶中元素分析

Analysis of elements in Angelica keiskei from different habitats

中文关键词:  明日叶  元素  营养质量指数法  因子分析  聚类分析

英文关键词:Angelica keiskei  elements  index of nutrition quality  factor analysis  clustering analysis

中文摘要:

      目的 研究不同产地明日叶中元素含量, 并考察其营养价值与安全性。方法 参照GB 5009.268—2016《食品安全国家标准 食品中多元素的测定》, 采用电感耦合等离子体发射光谱及电感耦合等离子体质谱方法, 同时测定6个产地明日叶中钾、钙、钠等24种元素含量, 并通过营养质量指数法、皮尔逊相关性、主成分因子和聚类分析等进行数据处理。结果 明日叶根部Be、Al、Ti、V、Cr、Co、As、Cd、Pb、Fe元素明显高于茎、叶元素分布, 存在重金属污染风险, 不宜食用; 经营养质量指数(index of nutrition quality, INQ)计算, 明日叶叶片中钙、铁、钾、镁、磷、锌元素INQ值均大于1, 可满足人体对该6种矿物质元素的需求; 南方地区明日叶具有低钠、高钾的特性, 适宜于高血压、肾脏疾病高发人群食用; 经SPSS软件因子分析和聚类分析, Al、Ti、V、Cr、Co、Cu、As、Ba、Tl、Pb、Fe、Mg、P、Zn、Sr、Ca、Mg、Na可以作为明日叶特征元素, 并可以明显区分根、茎、叶元素分布; 青岛、日照、江苏、广西地区叶部元素含量相近, 福建、浙江地区相近。结论 明日叶可补充人体所需基本矿物质元素, 各部位元素分布存在明显差异, 通过各产地样本相似性可以进行产地归属判别。

英文摘要:

      Objective To study the contents of elements in Angelica keiskei from different habitats, and to investigate its nutritional value and safety. Methods According to GB 5009.268—2016 National food safety standard-Determination of multi-elements in foods, inductively coupled plasma emission spectroscopy and inductively coupled plasma mass spectrometry were used to simultaneously determine the content of 24 elements (including potassium, calcium and sodium, etc.) in Angelica keiskei from 6 habitats, and the data were processed by the index of nutrition quality, Pearson correlation, principal component factor and cluster analysis. Results The elements of Be, Al, Ti, V, Cr, Co, As, Cd, Pb, Fe in the root of Angelica keiskei were significantly higher than those in the stem and leaves. Because of the risk of heavy metal contamination, it was not suitable for consumption. Calculated by the index of nutrition quality (INQ), the INQ values of calcium, iron, potassium, magnesium, phosphorus, and zinc in Angelica keiskei leaves were all greater than 1, which could meet the human body's needs. Angelica keiskei in south had the characteristics of low sodium and high potassium, which was suitable for people with high risk of hypertension and kidney disease. Al, Ti, V, Cr, Co, Cu, As, Ba, Tl, Pb, Fe, Mg, P, Zn, Sr, Ca, Mg, Na could be used as the characteristic elements of Angelica keiskei analyzed by SPSS software factor clustering analysis, and it could clearly distinguish the elements distribution of root, stem, and leaf. In terms of leaf element content, Qingdao, Rizhao, Jiangsu, and Guangxi were similar, and Fujian and Zhejiang were similar. Conclusion Angelica keiskei can supplement the basic mineral elements required by the human body, and the distribution of elements in each part is obviously different. The adscription discrimination can be judged by the similarity of the producing areas.