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Chiral separation and modeling of baclofen, bupropion, and etodolac profens on amylose reversed phase chiral column.
Ali, Imran; Suhail, Mohd; Alothman, Zeid A; Alwarthan, Abdulrahman.
Afiliação
  • Ali I; Department of Chemistry, Jamia Millia Islamia, (Central University), New Delhi, India.
  • Suhail M; Department of Chemistry, Jamia Millia Islamia, (Central University), New Delhi, India.
  • Alothman ZA; Department of Chemistry, College of Science, King Saud University, Riyadh, Kingdom of Saudi Arabia.
  • Alwarthan A; Department of Chemistry, College of Science, King Saud University, Riyadh, Kingdom of Saudi Arabia.
Chirality ; 29(7): 386-397, 2017 Jul.
Article em En | MEDLINE | ID: mdl-28608452
ABSTRACT
Chiral resolution of baclofen, bupropion, and etodolac profens was obtained with amylose derivatized chiral reversed stationary phase (carbamate groups). The eluent used for bupropion and etodolac was MeOH-water (2080, v/v) and for baclofen was water-methanol (955, v/v). The eluent run rates, finding wavelength and temperature, were 1.0 mL/min, 220 nm and 27 ± 1 °C for all the eluents. The magnitude of the retardation factors for S- and R-enantiomers of baclofen, bupropion, and etodolac were 1.37, 2.62, 2.25, 3.25, 1.8, and 3.0. The magnitudes of separation and resolution factors were 1.90, 1.44, and 1.67 and 2.77, 2.35, and 2.04. Limits of detection and quantitation were 1.0-2.0 and 5.1-10.0 µg/mL. Chiral recognition mechanisms were recognized by simulation and high-performance liquid chromatography (HPLC) experiments. It was seen that hydrogen interactions, hydrophobic interactions, and π-π exchanges were the chief interactions for chiral recognition mechanisms. The described methods may be exploited for the chiral separation of baclofen, bupropion, and etodolac profens in any unknown sample.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article