MATHEMATICAL-MODELING OF FLOW-INJECTION SYSTEMS

Authors
Citation
Sd. Kolev, MATHEMATICAL-MODELING OF FLOW-INJECTION SYSTEMS, Analytica chimica acta, 308(1-3), 1995, pp. 36-66
Citations number
288
Categorie Soggetti
Chemistry Analytical
Journal title
ISSN journal
00032670
Volume
308
Issue
1-3
Year of publication
1995
Pages
36 - 66
Database
ISI
SICI code
0003-2670(1995)308:1-3<36:MOFS>2.0.ZU;2-B
Abstract
Analysis of the great variety of now-injection (FI) manifolds used in analytical practice nowadays has shown that most of them can be decomp osed into two basic now configurations, i.e., the single-line and the conjugated two-line system. The former system has one influent and one effluent stream through which it can contact with the environment. Th e conduit walls are totally impermeable. The most distinctive characte ristic of a conjugated two-line system is the existence of a now-throu gh section with two separate streams (e.g., donor and acceptor) which exchange matter continuously along a common semipermeable interface (e .g., membrane). It can be concluded that two of the cornerstones in th e modelling of FI manifolds are the successful mathematical descriptio n of the two basic now systems mentioned above. Numerous mathematical models of FI systems employing ideas from different scientific areas ( e.g., statistics, chemical engineering, artificial intelligence, chrom atography) have been developed so far. It should be pointed out that t he majority of them describe only single-line FI systems. A classifica tion of all these models based on the main principles on which they ar e built, is proposed. The models have been compared with respect to th eir predictive power, the complexity of their mathematical treatment, and the requirements for computation time when applied to single-line and conjugated two-line FI systems. It is concluded that the axially d ispersed plug now model deserves special attention because it offers a n acceptable compromise between the conflicting requirements for maxim al possible mathematical simplicity and maximal possible precision. It can be used as the basis for an unified approach to the modelling of FI systems.