Your browser doesn't support javascript.
loading
An evaluation of M2+ interference correction approaches associated with As and Se in ICP-MS using a multi-day dataset along with ICP-MS/MS/HR-ICP-MS based analysis and hierarchical modeling as a means of assessing bias in fortified drinking waters and single component matrices.
Smith, Skyler W; Martin, Roy W; Hanks, Nicole; Creed, Patricia A; Kovalcik, Kasey; Wilson, Robert A; Kubachka, Kevin; Brisbin, Judith A; Figueroa, Julio A Landero; Creed, John T.
Afiliação
  • Smith SW; University of Cincinnati, U.S. Environmental Protection Agency (USEPA) Research Trainee, Center for Environmental Solutions and Emergency Response (CESER), Cincinnati, OH 45268, USA.
  • Martin RW; U.S. Food and Drug Administration, Forensic Chemistry Center, Cincinnati, OH 45237, USA.
  • Hanks N; USEPA, Center for Environmental Measurement and Modeling (CEMM), Cincinnati, OH 45268, USA.
  • Creed PA; Student Service Contractor, USEPA, CESER, Cincinnati, OH 45268, USA.
  • Kovalcik K; USEPA, CESER, 26 W. Martin Luther King Drive, Cincinnati, OH 45268, USA.
  • Wilson RA; USEPA, Center for Environmental Measurement and Modeling (CEMM), Research Triangle Park, NC 27711, USA.
  • Kubachka K; U.S. Food and Drug Administration, Forensic Chemistry Center, Cincinnati, OH 45237, USA.
  • Brisbin JA; U.S. Food and Drug Administration, Forensic Chemistry Center, Cincinnati, OH 45237, USA.
  • Figueroa JAL; USEPA, Office of Ground Water and Drinking Water, Cincinnati, OH 45268, USA.
  • Creed JT; University of Cincinnati, Department of Chemistry, Cincinnati, OH 45221, USA.
J Anal At Spectrom ; 37: 898-909, 2022 Mar 18.
Article em En | MEDLINE | ID: mdl-35903413

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article