Artificial Neural Network Prediction of Retention of Amino Acids in Reversed-Phase HPLC under Application of Linear Organic Modifier Gradients and/or pH Gradients

A multi-layer artificial neural network (ANN) was used to model the retention behavior of 16 o-phthalaldehyde derivatives of amino acids in reversed-phase liquid chromatography under application of various gradient elution modes. The retention data, taken from literature, were collected in acetonitr...

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Detalles Bibliográficos
Autor principal: D’Archivio, Angelo Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6384946/
https://www.ncbi.nlm.nih.gov/pubmed/30754702
http://dx.doi.org/10.3390/molecules24030632

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6384946/
https://www.ncbi.nlm.nih.gov/pubmed/30754702
http://dx.doi.org/10.3390/molecules24030632

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