SYSTEMATIC COMPARISON OF DATA-PROCESSING OPTIONS FOR KINETIC-BASED SINGLE-COMPONENT DETERMINATIONS OF NON-CATALYSTS .1. REVIEW, SYSTEMATIC CLASSIFICATION, MATHEMATICAL DESCRIPTIONS, PERFORMANCE-CHARACTERISTICSAND PERSPECTIVES

Authors
Citation
Md. Love et Hl. Pardue, SYSTEMATIC COMPARISON OF DATA-PROCESSING OPTIONS FOR KINETIC-BASED SINGLE-COMPONENT DETERMINATIONS OF NON-CATALYSTS .1. REVIEW, SYSTEMATIC CLASSIFICATION, MATHEMATICAL DESCRIPTIONS, PERFORMANCE-CHARACTERISTICSAND PERSPECTIVES, Analytica chimica acta, 299(2), 1994, pp. 195-208
Citations number
66
Categorie Soggetti
Chemistry Analytical
Journal title
ISSN journal
00032670
Volume
299
Issue
2
Year of publication
1994
Pages
195 - 208
Database
ISI
SICI code
0003-2670(1994)299:2<195:SCODOF>2.0.ZU;2-L
Abstract
This paper addresses several aspects of the applications of kinetic-ba sed methods for single-component determinations of non-catalysts. One goal is to review many of the different approaches to these kinetic-ba sed determinations. A second goal is to organize many of these differe nt approaches into a systematic classification scheme. A third goal is to present mathematical descriptions that help to differentiate among the different approaches. A fourth goal is to differentiate among imp ortant features of the different approaches with emphasis on the rugge dness of the different options. In this context, ruggedness is defined as the ability of a method to resist changes in experimental variable s. It is concluded that available options can be grouped into one or m ore of four general categories in this regard, namely those with no ab ility to resist changes in experimental variables, those that resist s uch changes via temporal optimization, those that can be used in modes that compensate for changing variables extrinsically and those that h ave built-in (intrinsic) variable compensation. A fifth goal is to pla ce the many different options to kinetic-based determinations into a s omewhat broader and more consistent perspective than may have been don e previously. In particular, an aim is to identify similarities among measurement and data-processing options applied to transient (kinetic) aspects of chemical, physico-chemical and physical processes.