One of the challenges in Analytical chemistry is the analysis of complicated real samples. Analytical methods commonly suffer from interference and several limitations for the analysis of these samples. These limitations may be due to inherent problems of method or the nature of the sample matrix. Although electrochemical methods have several advantages, they are not exempt from this rule. Different parameters should be investigated to improve electrochemical methods for the analysis of real samples, selectivity being the most important. Inherent selectivity of dynamic electrochemical techniques is achieved when the analyte reacts in different values of applied parameters compared to potentially interfering species. In other words, the choice of applied parameter (e.g. potential in voltammetry) determines the selectivity of the measurement.
Extensive studies have been performed to improve selectivity, by modification of the surface of the electrodes combined with chemical selectivity. In addition, other important parameters may be affected with this modification such as sensitivity, stability, repeatability and reproducibility. In this Research Topic we would like to investigate the challenges of electrochemical sensors based on dynamic electrochemical methods for analysis of complicated real samples such as biological and clinical samples, and also introduce simple, fast, accurate and efficient methods for problem solving. The ultimate goal of this Research Topic is to provide electrochemical methods that can be standardized for routine sample analysis.
We welcome Original Research contributions that study the following topics:
- Design of novel dynamic electrochemical methods or strategies to analyse real samples which have complicated matrices.
- Investigation of chemical or instrumental methods to improve analytical features of electrochemical sensors including selectivity and accuracy.
- Improvement of stability, repeatability and reproducibility of dynamic electrochemical sensors.
- Theoretical studies, chemometrics and signal processing methods to improve the efficiency of dynamic electrochemical methods.
One of the challenges in Analytical chemistry is the analysis of complicated real samples. Analytical methods commonly suffer from interference and several limitations for the analysis of these samples. These limitations may be due to inherent problems of method or the nature of the sample matrix. Although electrochemical methods have several advantages, they are not exempt from this rule. Different parameters should be investigated to improve electrochemical methods for the analysis of real samples, selectivity being the most important. Inherent selectivity of dynamic electrochemical techniques is achieved when the analyte reacts in different values of applied parameters compared to potentially interfering species. In other words, the choice of applied parameter (e.g. potential in voltammetry) determines the selectivity of the measurement.
Extensive studies have been performed to improve selectivity, by modification of the surface of the electrodes combined with chemical selectivity. In addition, other important parameters may be affected with this modification such as sensitivity, stability, repeatability and reproducibility. In this Research Topic we would like to investigate the challenges of electrochemical sensors based on dynamic electrochemical methods for analysis of complicated real samples such as biological and clinical samples, and also introduce simple, fast, accurate and efficient methods for problem solving. The ultimate goal of this Research Topic is to provide electrochemical methods that can be standardized for routine sample analysis.
We welcome Original Research contributions that study the following topics:
- Design of novel dynamic electrochemical methods or strategies to analyse real samples which have complicated matrices.
- Investigation of chemical or instrumental methods to improve analytical features of electrochemical sensors including selectivity and accuracy.
- Improvement of stability, repeatability and reproducibility of dynamic electrochemical sensors.
- Theoretical studies, chemometrics and signal processing methods to improve the efficiency of dynamic electrochemical methods.
