32 research outputs found

    Determination of heavy metal content in commercial marine fish hunted from southeast Aegean Sea (Turkey) and their potential risk for public health

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    In this study, heavy metals such as Al, Cr, Cu, Zn, Cd, Hg, Pb etc. content in liver, muscle and gill of three economical marine species [striped seabream (Lithognathus mormyrus Linneaus, 1758), two-band bream (Diplodus vulgaris Geoffroy Saint-Hilaire, 1817) and Common pandora (Pagellus erythrinus Linneaus, 1758)] obtained from 4 stations (Fethiye, Bodrum, Datça, Marmaris) in South Aegean coast were analyzed. After tissues were mineralized with wet-ashing, their heavy metal concentrations were measured with inductively coupled plasma mass spectrometry (ICP-MS). According to the findings, sediment samples had more heavy metals than water samples and none of heavy metal concentrations in the water samples exceeded national legal limits. Furthermore it was reported that the accumulation of heavy metal in liver and gill was the highest whereas in muscle the proportion was the lowest. Results showed that the mean concentration of the studied heavy metals in muscle tissues did not pose a risk in terms of public health in comparison with the international standards

    Assessing the legacy of red mud pollution in a shallow freshwater lake: arsenic accumulation and speciation in macrophytes

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    Little is known about long-term ecological responses in lakes following red mud pollution. Among red mud contaminants, arsenic (As) is of considerable concern. Determination of the species of As accumulated in aquatic organisms provides important information about the biogeochemical cycling of the element and transfer through the aquatic food-web to higher organisms. We used coupled ion chromatography and inductively coupled plasma mass spectrometry (ICP-MS) to assess As speciation in tissues of five macrophyte taxa in Kinghorn Loch, U.K., 30 years following the diversion of red mud pollution from the lake. Toxic inorganic As was the dominant species in the studied macrophytes, with As species concentrations varying with macrophyte taxon and tissue type. The highest As content measured in roots of Persicaria amphibia (L.) Gray (87.2 mg kg–1) greatly exceeded the 3–10 mg kg–1 range suggested as a potential phytotoxic level. Accumulation of toxic As species by plants suggested toxicological risk to higher organisms known to utilize macrophytes as a food source

    TURKISH JOURNAL OF BIOCHEMISTRY-TURK BIYOKIMYA DERGISI

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    Objective: The aim of this study was to evaluate heavy metals (Cr, Fe, Ni, Cu, Zn, As, Cd, Hg, Pb) and selenium levels in digestive gland and gill tissues of wild Mediterranean mussel Mytilus galloprovincialis (Lamarck, 1819) collected from four locations in Izmir Bay. Methods: A total of 180 samples of the wild Mediterranean mussel M. galloprovincialis with shell length of 50-60 mm were collected from four locations. Inductively coupled plasmamass spectroscopy was used to determine heavy metals and selenium concentrations in mussel samples after microwave digestion process. Results: The highest values (mg kg(-1) dry weight) obtained for digestive gland and gills were 0.17 and 0.15 for Cr, 28.62 and 29.49 for Fe, 0.25 and 0.29 for Ni, 2.53 and 1.78 for Cu, 18.52 and 22.03 for Zn, 1.26 and 1.08 for As, 0.04 and 0.04 for Cd, 0.02 and 0.02 for Hg, 0.19 and 0.16 for Pb, 0.40 and 0.48 for Se, respectively. Statistically significant differences among digestive gland and gills (p<0.05) were found for Cr, Ni, Zn, As, Se and Cd. In general, the levels of the studied elements were higher for the Karsiyaka than for other three stations. Conclusion: The low levels of toxic metals (Cd, Hg, Pb, Cr, Ni) found in tissues of M. galloprovincialis, comparing with the other studies including taken place in the Inner of Izmir Bay. M. galloprovincialis can be used as a sensitive biomonitor for the availabilities of studied elements in the Inner Bay of Izmir, Turkey

    Heavy Metal Bioaccumulation in Enteromorpha intestinalis, (L.) Nees, a Macrophytic Algae: The Example of Kadin Creek (Western Anatolia)

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    ABSTRACT This study aims to specify the amount of ten heavy metals (Al, Cr, Mn, Ni, Cu, Zn, As, Cd, Hg, Pb) in water, sediment and Enteromorpha intestinalis samples gathered from Kadin Creek in seasonal periods in 2011 and 2012 and to reveal bioaccumulation capability of this macrophytic algae. In this regard, heavy metal concentrations in the gathered samples were determined first with mineralization and then via inductively coupled plasma mass spectroscopy (ICP-MS) method. Findings suggested that algae could be used as an indicator in freshwater ecosystems in terms of studied heavy metals. With regard to bioconcentration factor values, in terms of water, algae accumulated aluminum the most and cadmium the least (Al > Cu > As > Zn > Cr > Mn > Ni > Pb > Hg > Cd), in terms of sediment, it accumulated mercury the most and aluminum the least (Hg > Cd > As > Zn > Pb > Mn > Ni > Cr > Cu > Al). The highest rate of heavy metal concentration in algae was observed in summer when contaminants in water and dynamics of plant development increased. It was also observed that the mean mercury and cadmium concentrations exceeded the maximum residue limit values

    Retrieving climate change dependent Sea Surface Temperature (SST) in Southern Turkey by using Landsat thermal imagery

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    597-605Sea Surface Temperature (SST) is one of the most significant parameters in oceanography. SST data can be used to analyse the ocean and marine environments. SST is required to study Marine Protected Areas (MPAs), identification of invasive species spreading areas, climate change, sea-level rise and pollution predictions. For more than 30 years, satellites have provided images that can assist in understanding changes in marine ecosystems. Remote data can be used as a real-time instrument for creating SST datasets. In this study, Landsat thermal data is used to retrieve sea surface temperatures. The study area of the research includes 1025 points belonging to four cross-sections of Gökova Bay in Southern Turkey. SST values were retrieved using satellite measurements for the first time in Gökova Bay. Landsat 4-5 Thematic Mapper, Landsat 7 Enhanced Thematic Mapper Plus, and Landsat 8 Operational Land Imager/Thermal Infrared Sensor imagery were analysed, covering the period from 1987 to 2017. Using geographical information systems, the satellite images were processed with algorithms, and changes in sea surface temperature were evaluated in spatiotemporal terms. As a result, a temperature anomaly of about 3 °C above average was observed in 2011 and 2015. Climate change has been shown to cause fishing losses in Gökova Bay. A relationship was identified between invasive species entering Gökova Bay and sea surface temperature data. The study method has become a useful alternative method in cases where there is a lack of in-situ data

    Heavy metal accumulation in the leaves, stem and root of the invasive submerged macrophyte Myriophyllum spicatum L. (Haloragaceae): an example of Kadin Creek (Mugla, Turkey)

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    In this study, the existence of heavy metals such as chromium (Cr), arsenic (As), cadmium (Cd), mercury (Hg) and lead (Pb) their distribution in the organs of plant and their bioaccumulation rates in water samples and Myriophyllum spicatum which were collected from the Kadin Creek in seasonal periods between 2011 and 2012 were analyzed. Heavy metal concentrations in the mineralized plant and water samples were determined with Inductive coupled plasma with mass spectroscopy (ICP-MS). Results showed the maximum heavy metal concentrations, in the root and minimum heavy metal concentrations, except chromium, in the stem. The distribution of heavy metals As, Cd, Hg and Pb was in the form of root > leaf > stem; the distribution of Cr was in the root > stem > leaf. There was a strong negative correlation between the suspended solid matter and heavy metal concentrations in the plant tissues. Heavy metal accumulation showed increase generally in fall. Heavy metals in the water were sorted as Pb > Cr > As > Hg > Cd by their mean concentrations. According to the factor data of bioconcentration, the order of heavy metal accumulation in the plant was As > Cr > Pb > Hg > Cd
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