4.7 Article

Determination of total arsenic and arsenic (III) in phosphate fertilizers and phosphate rocks by HG-AAS after multivariate optimization based on Box-Behnken design

Journal

TALANTA
Volume 80, Issue 2, Pages 974-979

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.talanta.2009.08.025

Keywords

Multivariate optimization; Slurry sampling; Phosphate rocks; Phosphate fertilizers; Arsenic; Hydride generation; Atomic absorption spectrometry

Funding

  1. Fundacao de Amparo a Pesquisa do Estado da Bahia (FAPESB)
  2. Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq)
  3. Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES)

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In the present paper, a procedure for the determination of total arsenic and arsenic (III) in phosphate fertilizers and phosphate rocks by slurry sampling (SS) with hydride generation atomic absorption spectrometry (HG-AAS) is proposed. Arsenic (III) is determinated directly and total arsenic is determinated after reduction reaction. The procedure was optimized for the flow rate of NaBH4, NaBH4 and hydrochloric acid concentrations using a full two-level factorial and also a Box-Behnken design. Slurry preparation with hydrochloric acid in an ultrasonic bath allowed the determination of arsenic (III) with limits of detection and quantification of 0.1 and 0.3 mu g L-1, respectively. The precision of expressed as relative standard deviation (RSD), was always lower than 3%. The accuracy of results, this method was confirmed by analysis of certified sediment reference materials, while the procedure also allows for calibration using aqueous external standards. This method (SS/HG-AAS) was used to determine total arsenic and arsenic (III) in two phosphate rock samples and two phosphate fertilizer samples. In these samples, total arsenic concentrations varied from 5.2 to 20.0 mg kg(-1), while As (III) concentrations varied from 2.1 to 5.5 mg kg(-1), in agreement with published values. All samples were also analyzed using acid digestion/HG-AAS. Both, a paired t-test and a linear regression model demonstrated no significant difference (95% CL) between the results obtained using these two sample preparation procedures. (C) 2009 Elsevier B.V. All rights reserved.

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