Evaluation of Metal Concentrations in Red Tilapia (Oreochromis spp) from Three Sampling Sites in Jelebu, Malaysia Using Principal Component Analysis

被引:23
|
作者
Low, Kah Hin [1 ]
Zain, Sharifuddin Md. [1 ]
Abas, Mhd. Radzi [1 ]
机构
[1] Univ Malaya, Dept Chem, Fac Sci, Environm Res Grp, Kuala Lumpur 50603, Malaysia
关键词
Chemometric; Classification; Fish; Metals; Pattern recognition; PCA; Tilapia; FRESH-WATER FISH; ARSENIC SPECIATION; TRACE-ELEMENTS; HEAVY-METALS; HUMAN HEALTH; ICP-MS; TISSUES; AQUACULTURE; MUSCLE; COPPER;
D O I
10.1007/s12161-010-9166-0
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
Concentration of V, Mn, Fe, Co, Cu, Zn, As, Se, Cd, and Pb in muscle, liver, and gill tissues of red tilapia (Oreochromis spp) sampled from three different aquaculture sites which include earthen pond, ex-tin mining pool, and concrete tank in Jelebu, Negeri Sembilan, were determined using microwave-assisted digestion-inductively coupled plasma-mass spectrometry. Accumulation patterns relating organs and elements, as well as origins and elements, were evaluated using multivariate statistics. With the aid of principal component analysis, it is possible to visualize the distribution pattern of metals in different organs as well as clustering tendencies of tilapia samples according to the production sites. In general, levels of V, Co, Fe, Cu, Zn, Se, and Cd in liver were higher than those in muscles and gills, whereas Mn and Pb were higher in gills while As in muscles. Results from principal component analysis revealed that there are similar pattern of metal distribution among organs regardless of the production sites. It is also suggested that Cu, As, and Pb are the best describers in characterizing the studied organs, where liver tissues are associated with high Cu, gills with high Pb, and muscles with high As. On the other hand, V, Co, and Pb are observed to be key discriminants for sample origins.
引用
收藏
页码:276 / 285
页数:10
相关论文
共 27 条
  • [1] Evaluation of Metal Concentrations in Red Tilapia (Oreochromis spp) from Three Sampling Sites in Jelebu, Malaysia Using Principal Component Analysis
    Kah Hin Low
    Sharifuddin Md. Zain
    Mhd. Radzi Abas
    Food Analytical Methods, 2011, 4 : 276 - 285
  • [2] Distribution and health risk assessment of trace metals in freshwater tilapia from three different aquaculture sites in Jelebu Region (Malaysia)
    Low, Kah Hin
    Zain, Sharifuddin Md.
    Abas, Radzi
    Salleh, Kaharudin Md.
    Teo, Yin Yin
    FOOD CHEMISTRY, 2015, 177 : 390 - 396
  • [3] Gill monogeneans of Nile tilapia (Oreochromis niloticus) and red hybrid tilapia (Oreochromis spp.) from the wild and fish farms in Perak, Malaysia: infection dynamics and spatial distribution
    Lim, Shen-Yin
    Ooi, Ai-Lin
    Wong, Wey-Lim
    SPRINGERPLUS, 2016, 5
  • [4] The Poverty Measurement Analysis of Three Districts in Terengganu, Malaysia using Principal Component Analysis
    Zakaria, Syerrina
    Hwei, Ng Qin
    Rahman, Nuzlinda Abdul
    PROCEEDING OF THE 25TH NATIONAL SYMPOSIUM ON MATHEMATICAL SCIENCES (SKSM25): MATHEMATICAL SCIENCES AS THE CORE OF INTELLECTUAL EXCELLENCE, 2018, 1974
  • [5] Genetic analysis of a red tilapia (Oreochromis spp.) population undergoing three generations of selection for increased body weight at harvest
    Azhar Hamzah
    Ngo Phu Thoa
    Nguyen Hong Nguyen
    Journal of Applied Genetics, 2017, 58 : 509 - 519
  • [6] Genetic analysis of a red tilapia (Oreochromis spp.) population undergoing three generations of selection for increased body weight at harvest
    Hamzah, Azhar
    Ngo Phu Thoa
    Nguyen Hong Nguyen
    JOURNAL OF APPLIED GENETICS, 2017, 58 (04) : 509 - 519
  • [7] Evaluation of trace metal concentrations in some herbs and herbal teas by principal component analysis
    Kara, Derya
    FOOD CHEMISTRY, 2009, 114 (01) : 347 - 354
  • [8] Evaluation of the environmental impact of dry chemical silage obtained from the viscera of red tilapia (Oreochromis spp.) using ecological footprint methodology
    Gaviria Gaviria, Yhoan Sebastian
    Camano Echavarria, Jairo Andres
    Zapata Montoya, Jose Edgar
    HELIYON, 2021, 7 (06)
  • [9] Prediction of column ozone concentrations using multiple regression analysis and principal component analysis techniques: A case study in peninsular Malaysia
    Tan, Kok Chooi
    Lim, Hwee San
    Jafri, Mohd Zubir Mat
    ATMOSPHERIC POLLUTION RESEARCH, 2016, 7 (03) : 533 - 546
  • [10] EVALUATION OF ESSENTIAL OILS FROM THE FAMILY UMBELLIFERAE USING PRINCIPAL COMPONENT ANALYSIS
    OCHOCKA, RJ
    LAMPARCZYK, H
    PHARMAZIE, 1993, 48 (03): : 229 - 230