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

作者：Rosas Castor Jose Martin; Portugal Lindomar; Ferrer Laura; Hinojosa Reyes Laura^*; Luis Guzman Mar Jorge; Hernandez Ramirez Aracely; Cerda Victor

来源：Food Chemistry, 2016, 204: 475-482.

DOI：10.1016/j.foodchem.2016.02.149

• Arsenic bioaccessibility
• Cloud point extraction
• Automation
• HG-AFS
• Corn and rice samples

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 1.34 mu g kg(-1) and 1.90 mu g kg(-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.

• 出版日期2016-8-1