摘要
以刀鲚(Coilia ectenes)、湖鲚(C.ectenes taihuensis)、凤鲚(C.mystus)和七丝鲚(C.grayii)为研究对象,对其进行元素含量特征研究。利用电感耦合等离子光谱仪(ICP-OES)测定了23种元素(Al、B、Cd、Co、Ca、Cr、Cu、Fe、K、Li、Mg、Mn、Mo、Na、Ni、P、Pb、S、Se、Sn、Sr、Ti和Zn)的含量,其中10种元素(B、Cd、Co、Cr、Li、Mo、Pb、Se、Sn和Ti)低于检出限未被检出。针对不同种类的鲚鱼全鱼所测得的元素进行多元统计分析,结果表明4组样品元素含量差异显著:主成分分析结果显示不同组的鲚鱼样品可较好地被区分,聚类分析映证了这一结论,逐步判别分析显示对全部30尾个体判别正确率为100%。元素含量特征分析结果显示,鲚属鱼类不同物种可以有效被区分。
Elemental concentrations were compared in Coilia ectenes,C. ectenes taihuensis,C. mystus and C.grayii. An Inductively Coupled Plasma Optical Emission Spectrometer( ICP-OES,i CAP6300) was used to measure the concentrations of 23 chemical elements( Al,B,Cd,Co,Ca,Cr,Cu,Fe,K,Li,Mg,Mn,Mo,Na,Ni,P,Pb,S,Se,Sn,Sr,Ti and Zn). The concentrations of 10 chemical elements( B,Cd,Co,Cr,Li,Mo,Pb,Se,Sn and Ti) were below the detection limit. All samples were analyzed by One-Way ANOVA analysis,principal components analysis( PCA),hierarchical cluster analysis( HCA) and linear discriminant analysis( LDA). Results indicated that significant difference was observed among the elements concentrations of four groups. The groups of fish could be distinguished by both PCA and HCA. Discriminant function analysis allowed correct classification rate of 100% for all 30 individuals. The analysis results of elemental concentrations features indicated that the species of genus Coilia could be distinguished effectively.
出处
《上海海洋大学学报》
CAS
CSCD
北大核心
2016年第1期44-50,共7页
Journal of Shanghai Ocean University
基金
上海市高校知识服务平台项目(ZF1206)
关键词
刀鲚
湖鲚
凤鲚
七丝鲚
元素含量
多元统计分析
Coilia ectenes
Coilia ectenes taihuensis
Coilia mystus
Coilia grayii
elemental concentrations
multivariate statistical analysis