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Retention prediction using quantitative structure-retention relationships combined with the hydrophobic subtraction model in reversed-phase liquid chromatography.
Wen, Yabin; Amos, Ruth I J; Talebi, Mohammad; Szucs, Roman; Dolan, John W; Pohl, Christopher A; Haddad, Paul R.
Afiliación
  • Wen Y; Australian Centre for Research on Separation Science (ACROSS), School of Physical Sciences-Chemistry, University of Tasmania, Hobart, Australia.
  • Amos RIJ; Australian Centre for Research on Separation Science (ACROSS), School of Physical Sciences-Chemistry, University of Tasmania, Hobart, Australia.
  • Talebi M; Australian Centre for Research on Separation Science (ACROSS), School of Physical Sciences-Chemistry, University of Tasmania, Hobart, Australia.
  • Szucs R; Pfizer Global Research and Development, Sandwich, UK.
  • Dolan JW; LC Resources, McMinnville, OR, USA.
  • Pohl CA; Thermo Fisher Scientific, Sunnyvale, CA, USA.
  • Haddad PR; Australian Centre for Research on Separation Science (ACROSS), School of Physical Sciences-Chemistry, University of Tasmania, Hobart, Australia.
Electrophoresis ; 40(18-19): 2415-2419, 2019 09.
Article en En | MEDLINE | ID: mdl-30953374
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Cromatografía de Fase Inversa / Modelos Químicos Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Año: 2019 Tipo del documento: Article
Texto completo
Imprimir
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PubMed Links
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Cromatografía de Fase Inversa / Modelos Químicos Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Año: 2019 Tipo del documento: Article