RESUMEN
The use of multiple parameter assays of entire metabolic pathways is potentially a powerful tool for unraveling mechanisms of disorders or drug action and classification of neurological diseases. Coulometric electrode series array sensors, coupled with liquid chromatography (n-ELC), provide a route to multiplying the resolving power of conventional LC by factors of 10 to 50. Since the original description of the n-ELC concept by Matson et al. (1), fundamental issues of optimizing sensor design and integration with computer controlled LC systems have been addressed. Femtogram level potential time (ET) separations can now be performed for multiple components in both isocratic and gradient modes. A 56-component isocratic method for the study of the kynurenine system in Huntington's Disease (HD) is presented as an indication of the analytical definitions and nomenclature used to qualify an n-ELC procedure, and an indication of the implications of multiparameter data bases on data handling and experimental design.