NDLI: Optimization Central Composite Design for The Simultaneous Determination of Cd(II) Ions in Fruit and Vegetable Samples by Adsorptive Stripping Voltammetry

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Optimization Central Composite Design for The Simultaneous Determination of Cd(II) Ions in Fruit and Vegetable Samples by Adsorptive Stripping Voltammetry

Content Provider	Semantic Scholar
Author	Deswati, Deswati Hg, Izzati Rahmi Suyani, Hamzar Zein, Rahmiana Alif, Admin
Copyright Year	2016
Abstract	This work describes a procedure for the simultaneous determination of cadmium in fruit and vegetable samples using adsorptive stripping voltammetry of complexes with calcon at a hanging mercury drop electrode (HMDE) has been optimized using central composite design (CCD). The selection of the experimental conditions was made using experimental of the influence of several parameters were studied : variations of calcon concentration, pH, accumulation potential and accumulation time. The design experiment was a central composite design with 4 factors/variables, 3 levels and 31 treatment combinations. From analysis of variance, it was decided to accept the second-order model and the independent variable, concluded that a significant effect on the response variable (peak current). Based on data analysis with central composite design, the determination of cadmium obtained optimum conditions were : calcon concentration 0.8435 mM, pH 8.0047, accumulation potential -0.6346 Volt and accumulation time 81.85 seconds with a maximum peak current 61.8146 nA. At the optimum condition were obtained relative standard deviation 0.84%, recovery 98.88%, the linear range up to 110 μg/L, limit of detection 1.009 μg/L and LOQ 3.363 μg/L. The procedure was successfully applied to the determination of cadmium in fruit and vegetable samples without prior treatment.
Starting Page	1493
Ending Page	1502
Page Count	10
File Format	PDF HTM / HTML
DOI	10.13005/ojc/320323
Volume Number	32
Alternate Webpage(s)	http://www.orientjchem.org/download/18548/
Alternate Webpage(s)	https://doi.org/10.13005/ojc%2F320323
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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