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Speciation and Lability of Zn(II) in River Waters

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1 Speciation and Lability of Zn(II) in River Waters
Paper by R. Jensen, H. van Leeuwen, R. Cleven, and M. van Den Hoop Presented by Slil Siripong February 17, 2000

2 Overview Introduction Theory Voltammetry DPV-SV Experimental Results
Discussion Conslusions

3 Introduction Study the relationship between bioavailability of Zn(II) and its speciation. Determine equilibrium speciation of Zn(II) and the labilities of its complex species in different European river water samples. Consider different rate determining. Techniques: DPV and SV to provide information on speciation and lability.

4 Theory Sufficient excess of ligand so that the association reaction becomes quasi-monomolecular Lability requires dynamic complexation equilibria and abundance of metal flux toward the interface Introduce a basic lability parameter and diffusion coefficient ratio Assume steady state Limiting case: Davison criterion ka of Zn is in the order of 108

5 Voltammetry Class of electroanalytical measurements in which the controlled parameter, the potential of the indicator electrode, varies with time and in which the current flowing through the indicator electrode is the measured parameter

6 Electrodes Working electrode Static Mercury Drop Electrode (SMDE)
Reference electrode Ag/AgCl/3 M KCl Counter electrode Glassy carbon

7 Differential Pulse Voltammetry

8 Differential Pulse Voltammetry
A 50-mV pulse is applied Two current measurements are made: prior to the pulse and at the end of the pulse Increase the sensitivity Enhance faradaic current Reduce nonfaradaic current Effective time scale: pulse time

9 Differential Pulse Voltammetry
Excitation Signals for DPV

10 Stripping Voltammetry
Preconcentration step Analyte first deposited on microelectrode Analyte redissolved or stripped from microelectrode Performed in the differential pulse mode (DPASV) Increase the concentration of analyte on the surface of microelectrode Lower the detection limit Effective time scale: stirring rate

11 Stripping Voltammetry
Excitation Signals for SV

12 Stripping Voltammetry
Stripping Voltammogram

13 Experimental Results: Labilities
DPV peak current is linearly dependent to t -1/2 Systematic shift of DPV peak potential toward more negative values Peak current is linearly dependent to the square root of the stirring rate

14 Experimental Results: Cottrell
Cottrell plot of DPV peak currents for different values of the pulse duration t for the sample Eindergatsloot. The linear behavior illustrates diffusion-controlled character of the current.

15 Experimental Results: Complexation Curves
Increase in complexation of Zn(II) with increasing ligand concentration Use  and c*L to compute K The influence of  on K is small Not reaching the plateau of p

16 Experimental Results: Complexation Curves
Complexation curves for the samples Eysden (a) and Hultabacken-1 (b)

17 Experimental Results: K
Sample Log K Free Zn(II)/ Total Zn(II) Hultabacken 1 6.5 0.12 0.10 Hultabacken 2 6.6 0.38 0.25 Larjean 6.4 0.28 0.14 Langemossen 0.39 0.18 Keisersveer 6.7 0.24 0.22 Eysden 7.0 Lillan 0.45 Table 2 Values found for the Zn(II) complex stability (log K), the Corresponding fraction of free Zn(II), and the Resulting  for different European River Waters

18 Discussion K is in the range of 106.4 – 107 M-1
Free Zn(II) is about 30% of total Zn(II)  = [Zn(II)bound]/[total available ligand] Concentrate the ligands More accurate diffusion coefficients of Zn(II) complexes No interference from competing cations

19 Conclusions 30% free Zn(II), 70% Zn(II) complexes labile on the voltammetric time scale Flux of Zn(II) into an organism in the system with complexes compared with the system without complexes The actual interfacial uptake process is rate-determining: 30% The coupled diffusion of free and complexed Zn(II) is rate-determining: 50%


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