Literature DB >> 30722866

Automatic determination of arsenate in drinking water by flow analysis with dual membrane-based separation.

Ruben Vera1, Yanlin Zhang2, Clàudia Fontàs3, M Inês G S Almeida4, Enriqueta Anticó5, Robert W Cattrall6, Spas D Kolev7.   

Abstract

The sequential application of a polymer inclusion membrane (PIM), composed of poly(vinylidenefluoride-co-hexafluoropropylene) and the anionic extractant Aliquat 336, and a microporous polytetrafluoroethylene (PTFE) gas-permeable membrane was utilized for the first time to develop a flow analysis (FA) system, for the automatic determination of trace levels of arsenate (As(V)) in drinking water as arsine. The system incorporated a flow-through extraction cell for separation and preconcentration of arsenate and a gas-diffusion cell for the separation of arsine prior to its spectrophotometric determination based on the discoloration of a potassium permanganate solution. Under optimal conditions the FA system is characterized by a limit of detection of 3.0 μg L-1 As(V) and repeatability of 1.8% (n = 5, 25 μg L-1 As(V)) and 2.8% (n = 5, 50 μg L-1 As(V)). The newly developed FA method was successfully applied to the determination of arsenate in drinking water samples in the μg L-1 concentration range.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Arsenate; Drinking water; Flow analysis; Gas-diffusion separation; Hydride generation; Polymer inclusion membrane (PIM)

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Year:  2019        PMID: 30722866     DOI: 10.1016/j.foodchem.2018.12.122

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


  2 in total

1.  Arsenate removal from aqueous solutions by cuttlebone/copper oxide nanobiocomposite.

Authors:  Safieh Momeni; Raheleh Ahmadi; Iraj Nabipour
Journal:  Environ Sci Pollut Res Int       Date:  2019-11-20       Impact factor: 4.223

2.  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

  2 in total

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