摘要
采用电感耦合等离子体原子发射光谱法(ICP-AES)测定了不同来源的赤泥样品中包含La,Ce,Pr,Nd,Sc和Y在内的6种稀土元素的含量,建立了赤泥中稀土元素的指纹谱,并用SPSS 20.0对稀土元素进行了主成分分析和聚类分析。结果表明:主成分分析选出2个主因子,La,Ce,Pr,Nd,Sc和Y均是赤泥的特征元素;聚类分析将稀土元素和赤泥样品均聚为两类,这与稀土元素的含量、性质以及铝土矿的品质、地域分布有一定的联系。
The contents of six kinds of rare earth elements,such as La,Ce,Pr,Nd,Sc and Y in red mud of different sources were determined by means of inductively coupled plasma atomic emission spectrometry( ICP-AES).The results were used for the establishment of fingerprint chromatogram for rare earth elements in red mud,and the SPSS 20. 0 was used for the principal component analysis and cluster analysis. The results showed that the principal component analysis selected two main factors,La,Ce,Pr,Nd,Sc,and Y were all the characteristic elements of red mud; rare earth elements and red mud samples were all clustered into two groups by cluster analysis,it had a certain relationship with the contents and properties of rare earth elements,and also in contact with the quality and geographical distribution of bauxite.
出处
《中国稀土学报》
CAS
CSCD
北大核心
2017年第5期667-671,共5页
Journal of the Chinese Society of Rare Earths
基金
中国铝业股份有限公司技术标准项目(ZY2016GZC01)资助
关键词
赤泥
电感耦合等离子体原子发射光谱法
主成分分析
聚类分析
稀土
red mud
inductively coupled plasma atomic emission spectrometry
principal component analysis
cluster analysis
rare earths