JST Vol. 21 (1) Jan. 2013 - Pertanika Journal - Universiti Putra ...

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Eugene Ng, Y. J., Yap, C. K., Zakaria, M. P. and Tan, S. G. Metal level -Metal level Rate of metals elimination = Day(s) of metal elimination exposed initial Note: Metal level = heavy metals value at week 6 or week 10. end of metal accumulation Metal level end of metal elimination = heavy metals value at week 6 or week 10. Metal level initial = heavy metals value at week 0. Metal level = heavy metals value at weeks 2, 6 or 10. exposed Statistical Analysis The statistical analyses were done by using STATISTICA version 8.0 for Windows. In addition, analysis of variance (ANOVA) was applied to find the differences between the means of heavy metal concentrations in the different parts of the mussels during the transplantation. Students- Newman-Kuel was applied to compare the mean values of heavy metal concentrations between the different parts of the mussels. T-test was carried out to test between the means of the end of the metal exposures and the initial metal exposures. The mean differences between Kg. Pasir Puteh and Sg. Melayu were tested using the Mann-Whitney test (Zar, 1996). RESULTS AND DISCUSSION Physico-chemical Parameters and Sediment Data The physico-chemical parameters from Kg. Pasir Puteh and Sg. Melayu were found to be similar during the 10-week transplantation (see Tables 1 and 2), with ranges of 29.06-30.61°C for temperature, 38.61-46.78 ms/cm for specific conductivity, 24.42-30.24 ppt for salinity, 3.14-13.82 mg/L for dissolved oxygen and 7.03-7.68 for pH. As for sediment, heavy metal concentrations in both the studies sites are presented in Table 5. For Kg Pasir Puteh, the concentrations (µg/g dry weight) for the sediment data ranged from Cd (2.73-3.24), Cu (105.71- 112.71), Fe (1.83-2.00%), Ni (45.20-52.46), Pb (61.90-73.47) and Zn (225.83-289.61). On the other hand, the concentration ranges obtained from Sg. Melayu, (µg/g) for the sediment data were Cd (1.42-1.80), Cu (31.39-60.20), Fe (1.74-1.80%), Ni (26.27-37.19), Pb (31.97-42.21) and Zn (83.21-95.18). The sediment data obtained from Kg. Pasir Puteh in this study were generally higher, although not significantly, as compared to the sediment data reported by Yap et al. (2002) for Cd (1.45 µg/g), Cu (104 µg/g), Pb (70 µg/g) and Zn (170 µg/g) from the same sampling site of the sediments collected in 2002. All the metal concentrations (except for Fe) in Kg Pasir Puteh were significantly (Mann-Whitney Test, p< 0.05) higher than those of Sg. Melayu. This indicated that Kg. Pasir Puteh was more contaminated by metals than Sg. Melayu. The cause of the high availability of metals, especially Cu, Pb, Zn at Kg. Pasir Puteh, was probably due to the presence of shipyards which used biofouling paints (Bayen et al., 2003). 82 Pertanika J. Sci. & Technol. 21 (1): 283 - 298 (2013)
TABLE 5: Heavy metal concentrations (µg/g dry weight) in the surface sediments collected from Sg. Melayu and Kg. Pasir Puteh Assessment of Heavy Metal Pollution in the Straits of Johore by Using Transplanted Caged Mussel, Perna viridis Cd Cu Fe Ni Pb Zn M-W Test Sg Melayu M-W Test P.Puteh Sg Melayu M-W Test P.Puteh Sg Melayu M-W Test P.Puteh Sg Melayu M-W Test P.Puteh Sg Melayu M-W Test P.Puteh Sg Melayu Weeks P.Puteh Aquaregia 2.90 1.62 p>0.05 105.71 60.20 p0.05 46.62 27.57 p0.05 1.49 2.43 p>0.05 1.42 1.18 p>0.05 1.76 1.97 p>0.05 20.56 2.26 p< 0.05 F2 0.72 0.57 p>0.05 0.18 0.33 p>0.05 0.08 0.13 p>0.05 1.36 2.02 p>0.05 2.33 2.98 p>0.05 78.90 2.12 p< 0.05 F3 0.84 0.50 p>0.05 71.20 9.67 p0.05 27.27 13.87 p0.05 84.63 2.18 p< 0.05 F3 0.99 0.47 p>0.05 91.87 20.24 p0.05 34.11 21.16 p0.05 23.19 13.00 p
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International Advisory Board Adarsh
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ut bovine milk allergy by far is th
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Selected Articles from UPM-Malaysia
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ISSN: 0128-7680 © 2013 Universiti
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Aspect of Fatigue Analysis of Compo
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Tajau, R. et al. double bond) and C
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Tajau, R. et al. Ulanski, P., & Ros
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Aji, I. S., Zinudin, E. S., Khairul
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Aji, I. S., Zinudin, E. S., Khairul
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CONCLUSION Aji, I. S., Zinudin, E.
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TABLE 1: (continue) 4 D. Bachtiar,
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REFERENCES N. Maizatul, I. Norazowa
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CBIR Using Colour and Shape Fused F
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Toward Automatic Semantic Annotatin
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Trust Value MF-ID 1 0.8 0.6 0.4 0.2
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A Negation Query Engine for Complex
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The Problem Association Rule Mining
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Association Rule Mining threshold t
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Association Rule Mining must be sor
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Association Rule Mining On the othe
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Association Rule Mining Quinlan, J.
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Che Mustapha Yusuf, J., Mohd Su’u
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Az Azrinudin Alidin and Fabio Crest
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Yogan Jaya Kumar, Naomie Salim, Ahm
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REFERENCES Yogan Jaya Kumar, Naomie
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Hasiah Mohamed@Omar, Azizah Jaafar
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The Role of Similarity Measurement
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TABLE 5: Winners MRS The Role of Si
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Guidelines for Authors Publication
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table should be prepared on a separ
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Usability of Educational Computer G
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