Literature DB >> 26988526

An evaluation of the bioaccessibility of arsenic in corn and rice samples based on cloud point extraction and hydride generation coupled to atomic fluorescence spectrometry.

José Martín Rosas Castor1, Lindomar Portugal2, Laura Ferrer2, Laura Hinojosa-Reyes3, Jorge Luis Guzmán-Mar4, Aracely Hernández-Ramírez4, Víctor Cerdà2.   

Abstract

A simple, inexpensive and rapid method was proposed for the determination of bioaccessible arsenic in corn and rice samples using an in vitro bioaccessibility assay. The method was based on the preconcentration of arsenic by cloud point extraction (CPE) using o,o-diethyldithiophosphate (DDTP) complex, which was generated from an in vitro extract using polyethylene glycol tert-octylphenyl ether (Triton X-114) as a surfactant prior to its detection by atomic fluorescence spectrometry with a hydride generation system (HG-AFS). The CPE method was optimized by a multivariate approach (two-level full factorial and Doehlert designs). A photo-oxidation step of the organic species prior to HG-AFS detection was included for the accurate quantification of the total As. The limit of detection was 1.34μgkg(-1) and 1.90μgkg(-1) for rice and corn samples, respectively. The accuracy of the method was confirmed by analyzing certified reference material ERM BC-211 (rice powder). The corn and rice samples that were analyzed showed a high bioaccessible arsenic content (72-88% and 54-96%, respectively), indicating a potential human health risk.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Arsenic bioaccessibility; Automation; Cloud point extraction; Corn and rice samples; HG-AFS

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Year:  2016        PMID: 26988526     DOI: 10.1016/j.foodchem.2016.02.149

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  1 in total

1.  Development of sensitive and accurate solid-phase microextraction procedure for preconcentration of As(III) ions in real samples.

Authors:  Adil Elik; Mustafa Tuzen; Baki Hazer; Savaş Kaya; K P Katin; Nail Altunay
Journal:  Sci Rep       Date:  2021-03-09       Impact factor: 4.379

  1 in total

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