Quantitative Structure–Retention Relationships with Non-Linear Programming for Prediction of Chromatographic Elution Order

In this work, we employed a non-linear programming (NLP) approach via quantitative structure–retention relationships (QSRRs) modelling for prediction of elution order in reversed phase-liquid chromatography. With our rapid and efficient approach, error in prediction of retention time is sacrificed i...

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Detalles Bibliográficos
Autores principales: Liu, J. Jay, Alipuly, Alham, Bączek, Tomasz, Wong, Ming Wah, Žuvela, Petar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6678770/
https://www.ncbi.nlm.nih.gov/pubmed/31336981
http://dx.doi.org/10.3390/ijms20143443

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6678770/
https://www.ncbi.nlm.nih.gov/pubmed/31336981
http://dx.doi.org/10.3390/ijms20143443

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