摘要
为从无机元素指标获得红枣的品质和产地信息,按照电感耦合等离子体发射光谱仪(ICP-AES)方法测定新疆红枣资源的14个无机元素(K、Na、Fe、Mg、Zn、Mn、Ca、Cu、Al、As、B、Ba、Cd、Hg)的含量,应用相关性和主成分分析法对新疆主产区红枣品质进行分析。主成分分析得出一个4因子模型,并对该模型进行了详细的分析和解释;第1、2主成分的方差贡献率分别为36.077%和25.487%,对应的显著指标分别为Na、Fe、Mg、Ca、B和Cu、Al、Ba、Cd,显示出对红枣品质和产地评价非常重要;主成分分析同时将36个新疆红枣聚为5组,在一定程度上体现了新疆红枣样品的亲缘关系和地域分布特征。
In order to more scientifically evaluate the trace elements quality and classify the jujube from different region of Xinjiang based on the ]4 trace elements indicators,the contents of K, Na, Fe, Mg ,Zn, Mn, Ca, Cu ,AI ,As, B, Ba,Cd,and Hg in the jujube were determined according to coupled plasma atomic emission spectrometry（ ICP -AES） ,analyzed by correlation analysis and principal component analysis.The contribution rate of the first factor and the second components was 36.077% and 25.487%, suggesting Na, Fe, Mg, Ca, B and Cu, AI, Ba, Cd to be significant indicators in evaluating trace elements in jujube, respectively.Thirty-six pomegranate samples were classified into five groups by principal component analysis, agreeing with real groupings, thus providing an approach for the identification of genetic kinship and geographical distribution to some extent.
出处
《食品工业科技》
CAS
CSCD
北大核心
2016年第18期169-172,196,共5页
Science and Technology of Food Industry
基金
重庆市科技研发平台专项(cstc2015yfpt_gcjsyjzx80003)
重庆第二师范学院科研创新团队项目(KYC-cxtd03-20141002)
新疆建设兵团工业科技攻关项目(2015AB030)
关键词
红枣
无机元素
主成分分析
相关性分析
综合评价
jujube
metal elements
principal component analysis
correlation analysis
overall evaluation
