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Potentialities and Applications of Voltammetry in Chemical Speciation of Trace Metals in the Sea

  • Hans Wolfgang Nürnberg
  • Pavel Valenta
Part of the NATO Conference Series book series (NATOCS, volume 9)

Abstract

Substance specificity and general methodological properties with respect to sensitivity and accuracy make advanced modes of polarography and voltammetry a powerful and convenient approach to study at trace levels the speciation of heavy metals as Cd, Pb, Zn, Cu, Hg which are important from the viewpoint of marine eco-chemistry as well as of raw materials with respect to their incorporation in manganese nodules.

Detailed informations can be obtained on the speciation behaviour of defined complex species with respect to stability, ligand number, formation kinetics and mechanism and the significance of specific side-effects by salinity components on these parameters. The selection of the experimental procedure depends predominantly on the stability and thus electrochemical reversibility of the studied complex type. In this manner the general pattern of the speciation distribution in the sea with the predominant labile complexes forming inorganic ligands has been determined for Cd and Pb. Systematic studies with well-known defined model ligands of moderate strength, as NTA, have provided for Cd, Pb and Zn the experimentally founded basis for a comprehensive understanding and prognostic conclusions on the parameters governing their speciation as nonlabile species by components of dissolved organic matter (DOM). Moreover, determination of complexation capacities for various heavy metals and speciation-minded voltammetric analysis of heavy metal levels in the sea can provide important global data and informations of diagnostic character on the speciationcapability of sea water from various regions and depths.

Keywords

Trace Metal Suspended Particulate Matter Dissolve Organic Matter Complexation Capacity Anodic Strip Voltammetry 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 1983

Authors and Affiliations

  • Hans Wolfgang Nürnberg
    • 1
  • Pavel Valenta
    • 1
  1. 1.Institute of Applied Physical ChemistryChemistry Department, Nuclear Research Center (KFA)JuelichFederal Republic of Germany

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