Literature DB >> 19269474

Determination of bioavailable soluble arsenic and phosphates in mine tailings by spectrophotometric Sequential Injection Analysis.

Belén E Ramírez Cordero1, María P Cañizares-Macías.   

Abstract

By using a simple Sequential Injection Analysis (SIA) manifold and in base to the kinetic reaction of the molybdenum with As(V) and P(V) was possible to determine As(III), As(V) and P(V) in simple, binary and ternary samples. The activation energies for the reaction between molybdenum and As(V) and P(V) were of 70.90 kJ mol(-1) and of 19.02 kJ mol(-1), respectively, therefore it was possible to determine both analytes in mixtures by using different reaction temperature. When the analyses were carried out at room temperature, only the P(V) supplied analytical signal; with increased temperature, the kinetics of reaction for As(V) also increased, and a signal was obtained, being 55 degrees C the optimum temperature. In order to determine As(III), it was oxidized into As(V) with KIO(3,) and the reaction was carried out in the same way as for As(V). To resolve mixtures, an equations system from six calibration curves with different sequences of SIA at different temperature was performed. The lineal ranges were between 0.5 microg mL(-1) and 10 microg mL(-1) with a repeatability and reproducibility between 0.7% and 5.2% and detection limits between 0.36 microg mL(-1) and 0.58 microg mL(-1). In binary mixtures of P(V)/As(V) the recoveries were close to 100% for both analytes at ratios lesser than 10:1. For As(V)/As(III) ratios between 1:1 and 5:1 the recoveries were ranged between 85% and 95%. The method was applied in mine tailings and in arsenopyrite. The results showed that the soluble arsenic was found oxidized as As(V). These results were compared with those obtained by atomic absorption spectrometry and both proved to be very close.

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Year:  2009        PMID: 19269474     DOI: 10.1016/j.talanta.2009.01.024

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  1 in total

1.  Open Source Automated Flow Analysis Instrument for Detecting Arsenic in Water.

Authors:  Julián Gutiérrez; Juan Pablo Mochen; Gabriel Eggly; Marcelo Pistonesi; Rodrigo Santos
Journal:  HardwareX       Date:  2022-03-09
  1 in total

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