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Determination of Arsenic Content in Water Using a Silver Coordination Polymer.
Reich, Natasha D; Nghiem, Athena A; Nicholas, Sarah; Bostick, Benjamin C; Campbell, Michael G.
Afiliação
  • Reich ND; Department of Chemistry, Barnard College, New York, New York 10027, United States.
  • Nghiem AA; Lamont-Doherty Earth Observatory, Columbia University, Palisades, New York 10964, United States.
  • Nicholas S; Brookhaven National Laboratory, NSLS-II, Upton, New York 11973, United States.
  • Bostick BC; Lamont-Doherty Earth Observatory, Columbia University, Palisades, New York 10964, United States.
  • Campbell MG; Department of Chemistry, Barnard College, New York, New York 10027, United States.
ACS Environ Au ; 2(2): 150-155, 2022 Mar 16.
Article em En | MEDLINE | ID: mdl-35662741
ABSTRACT
In this report, we describe a practical method for the colorimetric determination of dissolved inorganic arsenic content in water samples, using a silver coordination polymer as the sensing material. We demonstrate that a crystalline polymer framework can be used to stabilize silver(I) ions, greatly reducing both photosensitivity and water solubility, while still affording sufficient reactivity to detect arsenic in water samples at low parts-per-billion (ppb) levels. Test strips fabricated with the silver-based polymer are shown to be effective for field tests of groundwater under real-world operating conditions and display performance that is competitive with commercially available mercury-based test strips. Spectroscopic methods are also used to probe the reaction products formed, in order to better understand the sensing mechanism. Thus, our work provides the foundation for an improved field test that could be deployed to help manage groundwater usage in regions where arsenic contamination is problematic but sophisticated lab testing is not readily available.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article