Studies on combined effects of organophosphates and heavy metals in birds. I. Plasma and brain cholinesterase in coturnix quail fed methyl mercury and orally dosed with parathion

1975 ◽  
Vol 13 (3) ◽  
pp. 257-262 ◽  
Author(s):  
Michael P. Dieter ◽  
J. Larry Ludke
Keyword(s):  
Heavy Metals ◽  
Methyl Mercury ◽  
Combined Effects ◽  
Brain Cholinesterase ◽  
Coturnix Quail

scholarly journals Studi Kandungan Logam Berat Merkuri (Hg) dan Prediksi Kandungan Metil Merkuri (CH3Hg) pada Organ Kerang Darah (Anadara granosa) di Kecamatan Sidayu dan Kecamatan Banyuurip, Pantai Utara Gresik, Jawa Timur [Study of Heavy Metal Content of Mercury (Hg) and Prediction Content of Methyl Mercury (CH3Hg) on The Blood Shellfish’ (Anadara granosa) Organs In Sidayu and Banyu Urip District, Gresik, East Java]

2019 ◽  
Vol 6 (2) ◽  
pp. 207
Author(s):  
Baskara Adam Saleh, Boedi Setya Rahardja, Muhammad Arief
Keyword(s):  
Heavy Metals ◽  
Coastal Area ◽  
Methyl Mercury ◽  
Industrial Effluent ◽  
River Estuary ◽  
Mercury Contamination ◽  
Filter Feeder ◽  
Average Value ◽  
Blood Clam ◽  
Anadara Granosa

Abstract Oil drilling and industrial effluent that wasted through the Bengawan Solo River estuary is a source of environmental pollution in the Sidayu and Banyu Urip district, Gresik as one that produces the blood shellfish (Anadara granosa). One of the most dangerous contaminants of heavy metals is mercury. However shellfish can accumulate more heavy metals than other aquatic animals because it settle and filter their food (filter feeder) and slow to be able to avoid the effects of pollution The Aim of this study are to determine the levels of mercury and methyl mercury predictions on blood shellfish (Anadara granosa). The process of sampling was done at coastal area of Sidayu and Banyu Urip district, Gresik then performed using Atomic Absorbance readings Spectrophotometric (AAS). This is a descriptive study and the data obtained, and then continued with stoichiometric calculations to predict the content of methyl mercury. Based on the analysis of mercury and prediction of methyl mercury in the blood shellfish (Anadara granosa) organs in coastal area of Sidayu and Banyu Urip district, Gresik, has not exceeded the threshold of SNI, the value is 0.5 ppm. Mercury contamination was high in blood clam shell with the average value of 0.273 ppm and 0.293 ppm, followed by the stomach and intestines shell with an average value of 0.226 ppm and 0.281 ppm. Lowest contamination is on the organ gill, liver, and kidneys with the average value of 0.150 ppm and 0.133 ppm.

Combined effects of cadmium and salinity on development and survival of flounder eggs

1975 ◽  
Vol 55 (4) ◽  
pp. 945-957 ◽  
Author(s):  
H. Von Westernhagen ◽  
V. Dethlefsen
Keyword(s):  
Heavy Metals ◽  
Atlantic Ocean ◽  
Sea Water ◽  
Cadmium Concentration ◽  
South Atlantic Ocean ◽  
Combined Effects ◽  
East Atlantic ◽  
The West ◽  
North East ◽  
The North

Like most heavy metals, cadmium is only found in minute amounts in natural sea water. Krauskopf (1956) stated that cadmium concentration of normal sea water ranges from 0.032 to 0.075 PPb (μg/l−1) while Goldberg (1965) gave a somewhat higher value of 0.11 ppb. Cadmium concentrations determined by Preston (1973) for the North-East Atlantic Ocean range from <0.01 to 0.41 ppb, and similar values have been found by Windom & Smith (1972) in the West- and Chester & Stoner (1974) in the South Atlantic Ocean (0.04–0.17 ppb).

scholarly journals The Combined Effects of Ocean Acidification and Heavy Metals on Marine Organisms: A Meta-Analysis

2021 ◽  
Vol 8 ◽  
Author(s):  
Peng Jin ◽  
Jiale Zhang ◽  
Jiaofeng Wan ◽  
Sebastian Overmans ◽  
Guang Gao ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Ocean Acidification ◽  
Meta Analysis ◽  
Marine Organisms ◽  
Interactive Effects ◽  
Considerable Proportion ◽  
Combined Effects ◽  
Anthropogenic Pollutants ◽  
Taxonomic Groups ◽  
Antagonistic Interactions

Ocean acidification (OA) may interact with anthropogenic pollutants, such as heavy metals (HM), to represent a threat to marine organisms and ecosystems. Here, we perform a quantitative meta-analysis to examine the combined effects of OA and heavy metals on marine organisms. The results reveal predominantly additive interactions (67%), with a considerable proportion of synergistic interactions (25%) and a few antagonistic interactions (8%). The overall adverse effects of heavy metals on marine organisms were alleviated by OA, leading to a neutral impact of heavy metals in combination with OA. However, different taxonomic groups showed large variabilities in their responses, with microalgae being the most sensitive when exposed to heavy metals and OA, and having the highest proportion of antagonistic interactions. Furthermore, the variations in interaction type frequencies are related to climate regions and heavy metal properties, with antagonistic interactions accounting for the highest proportion in temperate regions (28%) and when exposed to Zn (52%). Our study provides a comprehensive insight into the interactive effects of OA and HM on marine organisms, and highlights the importance of further investigating the responses of different marine taxonomic groups from various geographic locations to the combined stress of OA and HM.

scholarly journals Individual and combined effects of heavy metals on estuarine infaunal communities

2010 ◽  
Vol 402 ◽  
pp. 123-136 ◽  
Author(s):  
A Fukunaga ◽  
MJ Anderson ◽  
JG Webster-Brown ◽  
RB Ford
Keyword(s):  
Heavy Metals ◽  
Combined Effects

The composition and safety of food products

2020 ◽  
pp. 26-31
Author(s):  
A. Lisitsyn ◽  
O. Rosental ◽  
I. Chernukha ◽  
N. Vostrikova
Keyword(s):  
Heavy Metals ◽  
Maximum Permissible Concentration ◽  
Random Variables ◽  
Food Products ◽  
Combined Effects ◽  
Level Of Risk

A method for evaluating the multifactorial risk of dangerous products entering the market based on the theory of random variables is proposed. The calculations are made on the example of assessing the risk of entering the market of products containing several heavy metals, which belong to the number of their dangerous pollutants. Special attention is paid to that the level of risk should be assessed by considering the combined effects of all pollutants, even if the concentration of each of them is lower than the maximum permissible concentration.

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