Resolution of the overlapping peaks in the case of linear sweep anodic stripping voltammetry via curve fitting

Романенко, С. В.; Stromberg, A. G.; Selivanova, E. V.; Романенко, Е. С.

doi:10.1016/j.chemolab.2004.04.002

Cited by 26 publications

(9 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The goal is to find a set of parameters, H, that minimizes the following objective function J (Romanenko and Stromberg, 2004):…”

Section: Overall Probability Of Error Criterion Based On Gaussian Curmentioning

confidence: 99%

Non-supervised image segmentation based on multiobjective optimization

Nakib

Oulhadj

Siarry

2008

Pattern Recognition Letters

View full text Add to dashboard Cite

“…The goal is to find a set of parameters, H, that minimizes the following objective function J (Romanenko and Stromberg, 2004):…”

Section: Overall Probability Of Error Criterion Based On Gaussian Curmentioning

confidence: 99%

Non-supervised image segmentation based on multiobjective optimization

Nakib

Oulhadj

Siarry

2008

Pattern Recognition Letters

View full text Add to dashboard Cite

“…The analyzed experimental signal is expressed as a composition of previously simulated curves [102] or using an arbitrary fitting function presented in [103] for square-wave voltammograms. In [104] a curve fitting method is proposed based on the six-parametrical model and verified by resolving the mixture of overlapping peaks as in the case of anodic stripping voltammetry.…”

Section: Separation Of Overlapping Signalsmentioning

confidence: 99%

Signal Processing in Electrochemistry

Jakubowska

2011

Electroanalysis

View full text Add to dashboard Cite

This review presents and promotes preprocessing methods applied in electrochemistry prior to data exploration, calibration and classification. Smoothing by digital filtering, baseline correction, separation of overlapping signals, and also transformations to extract the relevant features of the curve are the algorithms of which the application, operation, and optimization of parameters are described. The presentation completes the description of the procedure enabling orthogonal correction of the signals. The theoretical consideration is demonstrated by examples of the practical application of the described algorithms in electrochemistry in recent years. Software packages useful in signal processing in electrochemistry are also listed. The paper underlines the point that particular methods show the different effects of signal processing and in the case of the improper selection of the algorithm or its parameters, undesirable distortions of the curves may be observed. Therefore a knowledge of signal processing methodology is necessary before its application.

show abstract

“…The curve-fitting method used in our work is based on the simulation of a complex signal as the sum of single peak models, using iterative least-squares minimization. As in the case of deconvolution, the curve-fitting method has been used successfully in previously published studies [33,34,35]. …”

Section: Introductionmentioning

confidence: 99%

The Application of Curve Fitting on the Voltammograms of Various Isoforms of Metallothioneins–Metal Complexes

Rodrigo

Molina-López

Jiménez

et al. 2017

IJMS

View full text Add to dashboard Cite

The translation of metallothioneins (MTs) is one of the defense strategies by which organisms protect themselves from metal-induced toxicity. MTs belong to a family of proteins comprising MT-1, MT-2, MT-3, and MT-4 classes, with multiple isoforms within each class. The main aim of this study was to determine the behavior of MT in dependence on various externally modelled environments, using electrochemistry. In our study, the mass distribution of MTs was characterized using MALDI-TOF. After that, adsorptive transfer stripping technique with differential pulse voltammetry was selected for optimization of electrochemical detection of MTs with regard to accumulation time and pH effects. Our results show that utilization of 0.5 M NaCl, pH 6.4, as the supporting electrolyte provides a highly complicated fingerprint, showing a number of non-resolved voltammograms. Hence, we further resolved the voltammograms exhibiting the broad and overlapping signals using curve fitting. The separated signals were assigned to the electrochemical responses of several MT complexes with zinc(II), cadmium(II), and copper(II), respectively. Our results show that electrochemistry could serve as a great tool for metalloproteomic applications to determine the ratio of metal ion bonds within the target protein structure, however, it provides highly complicated signals, which require further resolution using a proper statistical method, such as curve fitting.

show abstract

Resolution of the overlapping peaks in the case of linear sweep anodic stripping voltammetry via curve fitting

Cited by 26 publications

References 17 publications

Non-supervised image segmentation based on multiobjective optimization

Non-supervised image segmentation based on multiobjective optimization

Signal Processing in Electrochemistry

The Application of Curve Fitting on the Voltammograms of Various Isoforms of Metallothioneins–Metal Complexes

Contact Info

Product

Resources

About