Trace metals in the bivalve mollusc Chamelea gallina from the Atlantic coast of southern Spain

Usero, José; González-Regalado, Eduardo; Gracia, Ignacio

doi:10.1016/0025-326x(95)00209-6

Cited by 151 publications

(59 citation statements)

References 10 publications

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“…The metal pollution index (MPI) was used in order to compare the total content of heavy metals at locations studied as shown below, where Cf n is the concentration (μg/g fresh wt.) for metal in the sample (Usero et al, 1996).…”

Section: Discussionmentioning

confidence: 99%

Valuation of water pollution using enzymatic biomarkers in aquatic insects as bioindicators from El-Mansouriya stream, Dakahlia, Egypt

Bream¹,

Amer²,

Haggag³

et al. 2017

Int. J. Adv. Res. Biol. Sci

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This investigation was aimed to evaluate water pollution with heavy metals using three biomarkers, as well as the study of the aquatic insects-seasons interaction. Three species of aquatic insects collected from El-Mansouriya stream (Dakahlia, Egypt), during the different seasons from spring 2014 to winter 2015. Water samples, sediments and whole body of the three aquatic insects were analyzed for heavy metal contents. As well as, two enzyme biomarkers, Acetylcholinesterase (AChE) and glutathione-S-transferase (GST) were used to monitor aquatic insects' response to water pollutants. Results showed various activities of the three biomarkers at the different studied seasons. Where, the concentration of selected heavy metals, in the whole body of the three insects, showed a relatively wide range for each metal analyzed. Also, higher values of metal pollution index (MPI) were attained in hotter seasons (spring and summer) and its decrements were observable during cooler seasons (autumn, winter), that provides a representative picture to the environmental state of environmental impacts on the aquatic ecosystem. While the heavy metals were found to be highly accumulated in selected aquatic insects body, as well as the variation of enzymes activity, thus both enzymes could be used as biomarker of water and sediment contamination.

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Section: Discussionmentioning

confidence: 99%

Valuation of water pollution using enzymatic biomarkers in aquatic insects as bioindicators from El-Mansouriya stream, Dakahlia, Egypt

Bream¹,

Amer²,

Haggag³

et al. 2017

Int. J. Adv. Res. Biol. Sci

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show abstract

“…The MPI was obtained with the equation (AMA, 1992;Usero, et al, 1996): MPI = (Cf 1 X Cf 2 ………..Cf K ) 1/K , Where; Cf 1 = concentration value of the first metal. Cf 2 = concentration value of the second metal.…”

Section: Metal /Pahs Pollution Indexmentioning

confidence: 99%

Preliminary assessment of trace metals and polycyclic aromatic hydrocarbons in the sediments

Okafor

Opuene

2007

Int. J. Environ. Sci. Technol.

100

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Total concentrations of Cd, Cr, Co, Fe, Pb, Ni, Mn and Zn were determined by atomic absorption spectrophotometry in the surface sediments of Taylor Creek, Southern Nigeria. The most concentrated trace metals, ranging from 113.2 to 5160.7 mg/g-dry weights were Fe, Pb, Mn, Ni and Zn. There was no significant variation in sediment-associated metal levels (P>0.05). The Metal Pollution Index (MPI) was highest at Agbia/Nedugo and is attributed to local contamination of the Creek. The concentrations of low molecular weight polycyclic aromatic hydrocarbons (PAHs) were also detected and quantified in the sediments by capillary gas chromatography equipped with a flame ionization detector. The concentration levels of 178.1-1266.3 mg/g-wet weights were high for the PAHs. The results indicate that the pollutants, which are bio-accumulatable, could contribute to inferior biodiversity, and shifts in community composition from sensitive to tolerant taxa.

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“…The overall metal contents of total and labile fractions at the sites investigated in this study were compared, using the metal pollution index (MPI) calculated according to Usero et al (1996 and1997) with the formula: MPI = (Cd x Co x Cr xCu x Fe x Mn x Ni x Pb x Zn) 1/9 MPI ratios ranged between 115.74 to 252.57 with average 162.51 for total fraction and 72.36 to 121.09 with average 92.51 for labile fraction (Tables 1 and 2). MPI exhibited high values due to the higher concentrations of all studied metals especially Fe, Mn, Cu and Zn.…”

Section: Metal Pollution Indexmentioning

confidence: 99%

Assessment of Heavy Metal Pollution in Surface Muddy Sediments of Lake Urullus,southeastern Mediterranean, Egypt

Nemr

2003

Egypt. J. of Aquatic Biolo. and Fish.

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T he concentrations of certain heavy metals (Cd, Co, Cr, Cu, Fe, Mn, Ni, Pd and Zn) in the total and labile fractions of muddy sediment samples collected from eleven sites in Lake Burullus in January 2003 were investigated in order to evaluate the pollution status of the Lake. The metal contents were determined by means of Atomic Absorption Spectrophotometer (AAS) using MESS-2 certified reference material (National Research Council of Canada). The average concentrations of the heavy metals analyzed in total sediment fractions exhibited the following decreasing order: Fe > Mn > Cu > Ni > Zn > Cr > Pb > Co > Cd, while the average concentrations of the heavy metals analyzed in the labile fraction followed the order: Fe > Mn > Cu > Ni > Pb > Zn > Co > Cr > Cd. The concentrations of all studied heavy metals ranged between the Effect Range-Low (ERL) and the Effect Range-Median (ERM) for most studied locations. Metal pollution index (MPI) shows very high values for both total and labile fractions at all the examined locations. Field observation reveals that Lake Burullus received industrial, agricultural and domestic sewage, suggesting that anthropogenic input is the main source of heavy metal contamination. Health hazard calculations for the contaminated sediments exhibited a possibility,pf health risk due to long-term exposure of the human to the polluted sediments of Lake Burullus.

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Trace metals in the bivalve mollusc Chamelea gallina from the Atlantic coast of southern Spain

Cited by 151 publications

References 10 publications

Valuation of water pollution using enzymatic biomarkers in aquatic insects as bioindicators from El-Mansouriya stream, Dakahlia, Egypt

Valuation of water pollution using enzymatic biomarkers in aquatic insects as bioindicators from El-Mansouriya stream, Dakahlia, Egypt

Preliminary assessment of trace metals and polycyclic aromatic hydrocarbons in the sediments

Assessment of Heavy Metal Pollution in Surface Muddy Sediments of Lake Urullus,southeastern Mediterranean, Egypt

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