抽象的

Optimization Central Composite Design for the Simultaneous Determination of Copper in Fruit and Vegetable Samples with Adsorptive Stripping Voltammetry in the Presence of Calcein

Deswati S, Suyani H, Rahmi I and Pardi H

The purpose of this study was to optimize the simultaneous determination of trace copper by adsorptive stripping voltammetry in the presence calcein as a complexing agent. The independent factors that affect the response were calcein concentration. pH, potential accumulation and time accumulation. The research design was used a central composite design (CCD) with 4 variables. 5 level and 31 a combination of treatments. The first step of 2k factorial design optimization is: to give the highest level of code values (+1.68). the lowest level (-1.68) and code (0) as the center point. Programs that will be used for statistical data processing, namely Minitab 17 using CCD. Based on data analysis with response surface method, the obtained optimum conditions for the simultaneous determination of copper is calcein concentration 0.11 mM, pH 6.8, potential accumulation -0.88 V and time accumulation 42.34 s. The linear calibration graph for the concentration (0.2 -110.0) μg/L, with detection limits 1.79 μg/L. This procedure was successfully applied for the determination of in the fruit and vegetable samples with satisfactory results.