Electroanalysis of the binding and adsorption of Hg2+ with seleno aminoacids by differential pulse and elimination voltammetry at the Au-disk electrode

Gilsanz, C.; Gusmão, Rui; Chekmeneva, Elena; Serrano, Núria; Dı́az-Cruz, José Manuel; Ariño, Cristina; Esteban, Miquel

doi:10.1016/j.electacta.2011.04.102

Cited by 9 publications

(6 citation statements)

References 30 publications

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“…An alternative chemometric method to study the complexation processes of this titration is based on the use of the new algorithm Gaussian Peak Adjustment (GPA), since it is able to correct the large displacement observed in the potential axis and the changes in the width of signals, i.e., to solve data matrices which present a great loss of linearity. 24,25 The evolution of the DPP signals was analyzed by taking as reference the values of the potential peak of each species in the Cu(II) to BAP titration. Component assignments are maintained, then free metal is component 2 and the first complex would be component 4; in the same way, the anodic signal located at a more negative potential is assigned to component 1 while the other anodic signal needs to be explained with a new component (component 6).…”

Section: Bap To Cu(ii) Titrationmentioning

confidence: 99%

Application of different chemometric strategies to voltammetric and UV-vis spectroscopic data to obtain a complexation model: study of the Cu(ii) binding with the phytohormone 6-benzylaminopurine

Cavanillas

Alberich

Serrano

et al. 2012

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The complexation processes of Cu(II) by the phytohormone and the possible antitumoral agent 6-benzylaminopurine (BAP) were studied by Differential Pulse Polarography (DPP) and ultraviolet-visible spectroscopy (UV-vis) in combination with chemometric programs such as Multivariate Curve Resolution by Alternating Least-Squares (MCR-ALS) and Gaussian Peak Adjustment (GPA). All data confirm the formation of the predominant 1 : 1 and 1 : 2 Cu(2+) : BAP complexes. The corroboration of the presented stoichiometries was performed by ElectroSpray Ionization-Mass Spectrometric (ESI-MS) experiments of the Cu(II)-BAP system at different ratios.

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Section: Bap To Cu(ii) Titrationmentioning

confidence: 99%

Application of different chemometric strategies to voltammetric and UV-vis spectroscopic data to obtain a complexation model: study of the Cu(ii) binding with the phytohormone 6-benzylaminopurine

Cavanillas

Alberich

Serrano

et al. 2012

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“…GPA was successfully applied to the study of different complexation systems. [10][11][12][13] Furthermore, a more sophisticated function (asymmetric logistic peak) was implemented to the PSF methodology to deal with highly asymmetric signals. 14 Nevertheless, the advantage of PSF methodology is compromised by the lack of a clear link between the successive voltammograms of an experimental dataset, which are tted independently (except for the fact that the parameters optimised for every voltammogram are used as initial estimations in the tting of the next one).…”

Section: Introductionmentioning

confidence: 99%

Parametric Signal Fitting by Gaussian Peak Adjustment: implementation of 2D transversal constraints and its application for the determination of pKa and complexation constants by differential pulse voltammetry

Cavanillas

Serrano

Dı́az-Cruz

et al. 2013

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A new method, GPA2D, is presented as a significant improvement of the previously described Gaussian Peak Adjustment (GPA) which includes, for the first time, transversal constraints to increase the consistency of the resolution along the different signals of a voltammetric dataset. The constraints deal with the evolution of peak potentials versus pH and with the implementation of chemical equilibrium constants. Moreover, pkavolt, a new tool for the pKa determination, is proposed as an example of the great versatility of the PSF-GPA (Parametric Signal Fitting by Gaussian Peak Adjustment) methodology. GPA2D and pkavolt have been successfully tested on the systems Cd(ii):phytochelatin, Cu(ii):6-benzylaminopurine, Cd(ii):1,10-phenanthroline, Zn(ii):oxalate and captopril drug by determining formation constants (metal complex systems) or pKa values (captopril).

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“…Complexation processes were proposed according to the Gaussian Peak Adjustment (GPA) analysis of the DPV titration data. The main complexes were 1:1 Hg:SeMet and Hg:SeCyst …”

Section: Introductionmentioning

confidence: 99%

“…The main complexes were 1:1 Hg:SeMet and Hg:SeCyst. 17 We have previously studied the voltammetric behavior of SeCyst at physiological pH in competitive systems, using two complexation models: 18 (i) competitive binding of Zn 2+ and Cd 2+ toward SeCyst and (ii) competitive binding of SeCyst and glutathione (GSH) toward Cd 2+ . In the first case, the presence of two spectroscopically active components, supported by DPV results, allowed us to propose the formation of the ternary ZnCd(SeCyst) complex.…”

Section: Introductionmentioning

confidence: 99%

Chemometric Analysis of Voltammetric Data on Metal Ion Binding by Selenocystine

et al. 2012

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The behavior of selenocystine (SeCyst) alone or in the presence of various metal ions (Bi(3+), Cd(2+), Co(2+), Cu(2+), Cr(3+), Ni(2+), Pb(2+), and Zn(2+)) was studied using differential pulse voltammetry (DPV) over a wide pH range. Voltammetric data matrices were analyzed using chemometric tools recently developed for nonlinear data: pHfit and Gaussian Peak Adjustment (GPA). Under the experimental conditions tested, no evidence was found for the formation of metal complexes with Bi(3+), Cu(2+), Cr(3+), and Pb(2+). In contrast, SeCyst formed electroinactive complexes with Co(2+) and Ni(2+) and kinetically inert but electroactive complexes with Cd(2+) and Zn(2+). Titrations with Cd(2+), Co(2+), Ni(2+), and Zn(2+) produced data that were reasonably consistent with the formation of stable 1:1 M(SeCyst) complexes.

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Electroanalysis of the binding and adsorption of Hg2+ with seleno aminoacids by differential pulse and elimination voltammetry at the Au-disk electrode

Cited by 9 publications

References 30 publications

Application of different chemometric strategies to voltammetric and UV-vis spectroscopic data to obtain a complexation model: study of the Cu(ii) binding with the phytohormone 6-benzylaminopurine

Application of different chemometric strategies to voltammetric and UV-vis spectroscopic data to obtain a complexation model: study of the Cu(ii) binding with the phytohormone 6-benzylaminopurine

Parametric Signal Fitting by Gaussian Peak Adjustment: implementation of 2D transversal constraints and its application for the determination of pKa and complexation constants by differential pulse voltammetry

Chemometric Analysis of Voltammetric Data on Metal Ion Binding by Selenocystine

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