Modeling and predicting the solute polarity parameter in reversed-phase liquid chromatography using quantitative structure-property relationship approaches.

Golmohammadi, Hassan; Dashtbozorgi, Zahra; Khooshechin, Sajad

Golmohammadi, Hassan; Dashtbozorgi, Zahra; Khooshechin, Sajad.

Afiliación

Golmohammadi H; Young Researchers and Elite Club, Yadegar-e-Imam Khomeini (RAH) Shahr-e-Rey Branch, Islamic Azad University, Tehran, Iran.
Dashtbozorgi Z; Young Researchers and Elite Club, Central Tehran Branch, Islamic Azad University, Tehran, Iran.
Khooshechin S; Young Researchers and Elite Club, Central Tehran Branch, Islamic Azad University, Tehran, Iran.

J Sep Sci ; 40(23): 4495-4502, 2017 Dec.

Article en En | MEDLINE | ID: mdl-28941237

Palabras clave

enhanced replacement method; polarity parameter; quantitative structure-property relationships; reversed-phase liquid chromatography; support vector machine

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Sep Sci Año: 2017 Tipo del documento: Article País de afiliación: Irán Pais de publicación: Alemania

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