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- Title
APPLICATION OF CENTRAL COMPOSITE DESIGN OPTIMIZATION TECHNIQUE FOR DETERMINATION OF COPPER IN FRUIT AND VEGETABLE SAMPLES WITH ADSORPTIVE STRIPPING VOLTAMMETRY IN THE PRESENCE OF CALCEIN.
- Authors
Deswati; Suyani, Hamzar; Rahmi, Izzati; Pardi, Hilfi
- Abstract
This study was to optimize the determination of copper by adsorptive stripping voltammetry (AdSV) in the presence calcein. 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 levels 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 were used for statistical data processing, Minitab 17. The obtained optimum conditions for the determination of copper were: calcein concentration 0.11 mM, pH 6.8, potential accumulation -0.88 V and time accumulation 42.34 s. The RSD 0.74%, recovery 99.88%, the linear calibration graph for the concentration (0.2-110.0) μg/L, and the detection limits 1.79 μg/L. This procedure was applied for the determination of copper in the fruit and vegetable samples with satisfactory results.
- Subjects
COPPER content of food; FRUIT; VEGETABLES; VOLTAMMETRY; HYDROGEN-ion concentration; DETECTION limit
- Publication
Rasayan Journal of Chemistry, 2017, Vol 10, Issue 4, p1359
- ISSN
0974-1496
- Publication type
Article
- DOI
10.7324/RJC.2017.1041810