Your browser doesn't support javascript.
loading
Improving retention-time prediction in supercritical-fluid chromatography by multivariate modelling.
Molenaar, Stef R A; Savova, Mariyana V; Cross, Rebecca; Ferguson, Paul D; Schoenmakers, Peter J; Pirok, Bob W J.
Afiliação
  • Molenaar SRA; Van't Hoff Institute for Molecular Sciences, Analytical Chemistry Group, University of Amsterdam, Science Park 904, Amsterdam 1098 XH, the Netherlands; Centre for Analytical Sciences Amsterdam (CASA), the Netherlands. Electronic address: S.R.A.Molenaar@uva.nl.
  • Savova MV; Van't Hoff Institute for Molecular Sciences, Analytical Chemistry Group, University of Amsterdam, Science Park 904, Amsterdam 1098 XH, the Netherlands; Centre for Analytical Sciences Amsterdam (CASA), the Netherlands; TI-COAST, Science Park 904, Amsterdam 1098 XH, the Netherlands. Electronic address
  • Cross R; Chemical Development, Pharmaceutical Technology & Development, Operations, AstraZeneca, Macclesfield, United Kingdom.
  • Ferguson PD; New Modalities Product Development, Pharmaceutical Technology & Development, Operations, AstraZeneca, Macclesfield, United Kingdom.
  • Schoenmakers PJ; Van't Hoff Institute for Molecular Sciences, Analytical Chemistry Group, University of Amsterdam, Science Park 904, Amsterdam 1098 XH, the Netherlands; Centre for Analytical Sciences Amsterdam (CASA), the Netherlands.
  • Pirok BWJ; Van't Hoff Institute for Molecular Sciences, Analytical Chemistry Group, University of Amsterdam, Science Park 904, Amsterdam 1098 XH, the Netherlands; Centre for Analytical Sciences Amsterdam (CASA), the Netherlands.
J Chromatogr A ; 1668: 462909, 2022 Apr 12.
Article em En | MEDLINE | ID: mdl-35245878

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Dióxido de Carbono / Cromatografia com Fluido Supercrítico Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Chromatogr A Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Dióxido de Carbono / Cromatografia com Fluido Supercrítico Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Chromatogr A Ano de publicação: 2022 Tipo de documento: Article