Complexes of some bivalent cobalt, nickel, copper, zinc, cadmium and monovalent silver salts with 4,4?-BipyridylN,N?-dioxide

1980 ◽  
Vol 5 (1) ◽  
pp. 373-376 ◽  
Author(s):  
Ishar Singh Ahuja ◽  
Raghuvir Singh ◽  
Langarajulu Sriramulu
Keyword(s):  
Silver Salts ◽  
Cobalt Nickel ◽  
Nickel Copper ◽  
Zinc Cadmium ◽  
Copper Zinc

Direct electrochemical synthesis of cobalt, nickel, copper, zinc, cadmium, tin and lead zincon complexes

1992 ◽  
Vol 17 (1) ◽  
pp. 1-4 ◽  
Author(s):  
Hassan E. Mabrouk ◽  
Mohamed Gaber ◽  
A. Z. El-Sonbati ◽  
Gad B. El-Hefnawey
Keyword(s):  
Electrochemical Synthesis ◽  
Cobalt Nickel ◽  
Nickel Copper ◽  
Zinc Cadmium ◽  
Copper Zinc

Graphene oxide/cellulose membranes in adsorption of divalent metal ions

RSC Advances ◽  
2016 ◽  
Vol 6 (99) ◽  
pp. 96595-96605 ◽  
Author(s):  
Rafal Sitko ◽  
Marcin Musielak ◽  
Beata Zawisza ◽  
Ewa Talik ◽  
Anna Gagor
Keyword(s):  
Graphene Oxide ◽  
Metal Ions ◽  
Divalent Metal ◽  
Divalent Metal Ions ◽  
Cobalt Nickel ◽  
Nickel Copper ◽  
Zinc Cadmium ◽  
Copper Zinc ◽  
Cellulose Membranes ◽  
Cadmium And Lead

In this paper, graphene oxide/cellulose membranes were prepared in order to perform effective adsorption of heavy metal ions: cobalt, nickel, copper, zinc, cadmium and lead.

Trace Metals in the Waters of the Gulf of St. Lawrence

1974 ◽  
Vol 11 (7) ◽  
pp. 939-950 ◽  
Author(s):  
J. Michael Bewers ◽  
Ian D. Macaulay ◽  
Bjørn Sundby
Keyword(s):  
Colloidal Iron ◽  
Local Conditions ◽  
Cobalt Nickel ◽  
Nickel Copper ◽  
Circulation Patterns ◽  
Zinc Cadmium ◽  
Particulate Iron ◽  
Copper Zinc ◽  
The Mean ◽  
Cadmium And Lead

Concentrations of the trace elements iron, cobalt, nickel, copper, zinc, cadmium, and lead were measured in samples collected from the waters of the Gulf of St. Lawrence. Cobalt, cadmium, and lead occurred at or below the detection limits of the analytical method. The mean concentrations of nickel, copper, and zinc were 0.4 μgl−1. 0.6 μgl−1 and 1.8 μgl−1 respectively, and there was no evidence that local conditions influence their distribution. The distribution of dissolved and colloidal iron is related to dilution and precipitation processes which occur as fresh and saline waters are mixed. The particulate iron distribution is largely governed by water circulation patterns and settling.

scholarly journals Pollution Problem in River Kabul: Accumulation Estimates of Heavy Metals in Native Fish Species

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Habib Ahmad ◽  
Ali Muhammad Yousafzai ◽  
Muhammad Siraj ◽  
Rashid Ahmad ◽  
Israr Ahmad ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Fish Species ◽  
Fish Population ◽  
Native Fish ◽  
Nickel Copper ◽  
Wallago Attu ◽  
Zinc Cadmium ◽  
Copper Zinc ◽  
Cadmium And Lead ◽  
River Kabul

The contamination of aquatic systems with heavy metals is affecting the fish population and hence results in a decline of productivity rate. River Kabul is a transcountry river originating at Paghman province in Afghanistan and inters in Khyber Pakhtunkhwa province of Pakistan and it is the major source of irrigation and more than 54 fish species have been reported in the river. Present study aimed at the estimation of heavy metals load in the fish living in River Kabul. Heavy metals including chromium, nickel, copper, zinc, cadmium, and lead were determined through atomic absorption spectrophotometer after tissue digestion by adopting standard procedures. Concentrations of these metals were recorded in muscles and liver of five native fish species, namely,Wallago attu,Aorichthys seenghala,Cyprinus carpio,Labeo dyocheilus, andOmpok bimaculatus. The concentrations of chromium, nickel, copper, zinc, and lead were higher in both of the tissues, whereas the concentration of cadmium was comparatively low. However, the concentration of metals was exceeding the RDA (Recommended Dietary Allowance of USA) limits. Hence, continuous fish consumption may create health problems for the consumers. The results of the present study are alarming and suggest implementing environmental laws and initiation of a biomonitoring program of the river.

scholarly journals Development and application of a metabolomic tool to assess exposure of an estuarine amphipod to pollutants in the environment

2020 ◽  
Author(s):  
Miina Yanagihara ◽  
Fumiyuki Nakajima ◽  
Tomohiro Tobino
Keyword(s):  
Predictive Power ◽  
Road Dust ◽  
Chemical Exposure ◽  
Source Control ◽  
Chemical Effects ◽  
Nickel Copper ◽  
Zinc Cadmium ◽  
Copper Zinc ◽  
Liquid And Solid Phases ◽  
Effective Source

ABSTRACTIdentifying substances in sediment that cause adverse effects on benthic organisms has been implemented as an effective source-control strategy. However, the identification of such substances is difficult due to the complicated interactions between liquid and solid phases and organisms. Metabolomic approaches have been utilized to assess the effects of toxicants on various organisms; however, the relationships between the toxicants and metabolomic profiles have not been generalized, and it makes impractical to identify major toxicants from metabolomic information. In this study, we used partial least squares discriminant analysis (PLS-DA) to investigate these relationships. The objective of this study was to construct PLS-DA models using the metabolomic profiles of the benthic amphipod Grandidierella japonica to assess the exposure effects of target toxicants and to demonstrate the utility of these models to assess the effects of chemicals in environmental samples. The PLS-DA models were constructed from the metabolomic profiles of G. japonica to discriminate the exposure of G. japonica to chromium, nickel, copper, zinc, cadmium, fluoranthene, nicotine, and osmotic stress. The models had high predictive power for the presumptive exposure to each chemical and were able to detect exposures in mixed chemical samples. These results suggest that the metabolomic responses can provide important information for the assessment of chemical effects on organisms. We applied the models to the metabolomic profiles of G. japonica exposed to river sediment and road dust, and the results demonstrated the applicability of the models. The control groups were not classified as exposure groups, and no samples were presumed to belong to any exposure group. These results suggest that the target chemicals were not toxic in the samples and conditions we investigated. This study demonstrates a method to assess the relationships between chemical exposure and metabolomic responses. To the best our knowledge, this is the first study to apply metabolomics for identification of toxicants.

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