Heavy metals concentration relationship with Perna viridis physical properties in Mengkabong Lagoon, Sabah, Malaysia

Noraini Abdullah and Rohana Tair and Mohd Harun Abdullah (2014) Heavy metals concentration relationship with Perna viridis physical properties in Mengkabong Lagoon, Sabah, Malaysia. Pakistan Journal of Biological Sciences, 17 (1). pp. 62-67. ISSN 1028-8880

[img]
Preview
Text
Heavy_metals_concentration_relationship_with_Perna_viridis_physical_properties_in_Mengkabong_Lagoon,_Sabah,_Malaysia.pdf

Download (62kB) | Preview

Abstract

Perna viridis (P. viridis) has been identified as a good biological indicator in identifying environmental pollution, especially when there are various types of Heavy Metals Accumulations (HMA) inside its tissue. Based on the potential of P. viridis to accumulate heavy metals and the data on its physical properties, this study proffers to determine the relationships between both properties. The similarities of the physical properties are used to mathematical model their relationships, which included the size (length, width, height) and weight (wet and dry) of P. viridis, whilst the heavy metals are focused on concentrations of Pb, Cu, Cr, Cd and Zn. The concentrations of metal elements are detected by using Flame Atomic Adsorption Spectrometry. Results show that the mean concentration of Pb, Cu, Cr, Cd, Zn, length, width, height, wet weight and dry weight are: 1.12 +/- 1.00, 2.36 +/- 1.65, 2.12 +/- 2.74, 0.44 +/- 0.41 and 16.52 +/- 10.64 mg kg(-1) (dry weight), 105.08 +/- 14.35, 41.64 +/- 4.64, 28.75 +/- 3.92 mm, 14.56 +/- 3.30 and 2.37 +/- 0.86 g, respectively. It is also found out that the relationships between the Heavy Metals Concentrations (HMA) and the physical properties can be represented using Multiple Linear Regressions (MLR) models, relating that the HMA of Zinc has affected significantly the physical growth properties of P. viridis.

Item Type: Article
Keyword: Perna Viridis, biological indicator, heavy-metal-accumulations (HMA) , mathematical model, multiple linear regressions (MLR)
Subjects: T Technology > TD Environmental technology. Sanitary engineering
Department: FACULTY > Faculty of Science and Natural Resources
Depositing User: ADMIN ADMIN
Date Deposited: 06 Nov 2015 11:46
Last Modified: 12 Oct 2017 11:53
URI: https://eprints.ums.edu.my/id/eprint/11766

Actions (login required)

View Item View Item