Cargando…
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...
Autor principal: | D’Archivio, Angelo Antonio |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
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 |
Ejemplares similares
-
Retention Modelling of Phenoxy Acid Herbicides in Reversed-Phase HPLC under Gradient Elution
por: Biancolillo, Alessandra, et al.
Publicado: (2020) -
Development and validation of reversed-phase HPLC gradient method for the estimation of efavirenz in plasma
por: Gupta, Shweta, et al.
Publicado: (2017) -
HPLC Gradient Retention of Tryptophan and its Metabolites on Three Stationary Phases in Context of Lipophilicity Assessment
por: Wicha-Komsta, Katarzyna, et al.
Publicado: (2020) -
Characterisation of Gas-Chromatographic Poly(Siloxane) Stationary Phases by Theoretical Molecular Descriptors and Prediction of McReynolds Constants
por: D’Archivio, Angelo A., et al.
Publicado: (2019) -
Gradient Retention
Factor Concept Applied to Method
Development for Peptide Analysis by Means of RP-HPLC
por: González-López, Nicolás Mateo, et al.
Publicado: (2022)