Direct quantitative analysis from the current curve data of pulse voltammetric techniques

• A three-dimensional data array with physical significance is constructed.
• Trilinear decomposition algorithm is employed to process the data array.
• Net faradaic and charging current can be simultaneously extracted.
• Sensitivity is enhanced because of the used extracted net faradaic current.
• Results of quantitative analysis can be directly achieved with the trilinear model.

Pulse technologies have been widely employed in analytical electrochemistry systems. Double layer charging current has been an obstacle to the accurate measurement of faradaic current despite the theoretical and experimental efforts. Conventional pulse approaches record the current at a later pulse time for minimizing the capacitative effects and reducing the background currents. In this study, a method for extracting the quantitative information directly from the current curve data of pulse voltammetry is developed using trilinear decomposition algorithm. Feasibility of the proposed method is proved and an application study is performed for quantitative analysis of bovine serum albumin (BSA). The method can simultaneously obtain net faradaic current and double layer charging current directly from the measured signals, and the quantitative information can be obtained as well. Thus the performance of voltammetric techniques can be improved. Because the net signals are used, the sensitivities are increased by about 160%, 90% and 25% for normal pulse voltammetry, differential pulse voltammetry and staircase voltammetry, respectively. Quantitative determination of BSA in solutions was carried out with a calibration model of six samples. The recoveries are in a range from 98.1% to 102.9%, which may prove the reliability of the proposed method.

Trilinear decomposition algorithm was employed to extract high sensitive quantitative information from the data array constructed by the decaying current curves measured with normal pulse voltammetry (NPV), differential pulse voltammetry (DPV) and staircase voltammetry (SV), and quantitative analysis of bovine serum albumin (BSA) in solutions was achieved.Figure optionsDownload as PowerPoint slide