The goal of the chapter is to review the recent significant advances achieved in the study of 2-D maps. Fundamental aspects concerning the intimate structure of multicomponent mixtures and separations will be discusses. Description of the methods recently developed by the present authors for characterizing the separation pattern complexity of a 2-D multicomponent map will be presented. It will clearly appear that these methods allow one to describe complex 2-D separations in terms of SC number, homologous series eventually hidden, spot shape features and separation performances: for these reasons they are named as “Decoding Methods”. The most recent achievements reached from the application of these procedures will be reviewed as application examples of the present models and methods.
Decoding complex 2-D separations
DONDI, Francesco;PIETROGRANDE, Maria Chiara;MARCHETTI, Nicola;
2008
Abstract
The goal of the chapter is to review the recent significant advances achieved in the study of 2-D maps. Fundamental aspects concerning the intimate structure of multicomponent mixtures and separations will be discusses. Description of the methods recently developed by the present authors for characterizing the separation pattern complexity of a 2-D multicomponent map will be presented. It will clearly appear that these methods allow one to describe complex 2-D separations in terms of SC number, homologous series eventually hidden, spot shape features and separation performances: for these reasons they are named as “Decoding Methods”. The most recent achievements reached from the application of these procedures will be reviewed as application examples of the present models and methods.I documenti in SFERA sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
