Mathematical modelling of flow-injection systems

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Abstract

Analysis of the great variety of flow-injection (FI) manifolds used in analytical practice nowadays has shown that most of them can be decomposed into two basic flow 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. The conduit walls are totally impermeable. The most distinctive characteristic of a conjugated two-line system is the existence of a flow-through 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 the modelling of FI manifolds are the successful mathematical description of the two basic flow systems mentioned above. Numerous mathematical models of FI systems employing ideas from different scientific areas (e.g., statistics, chemical engineering, artificial intelligence, chromatography) have been developed so far. It should be pointed out that the majority of them describe only single-line FI systems. A classification of all these models based on the main principles on which they are built, is proposed. The models have been compared with respect to their 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 dispersed plug flow model deserves special attention because it offers an acceptable compromise between the conflicting requirements for maximal possible mathematical simplicity and maximal possible precision. It can be used as the basis for an unified approach to the modelling of FI systems.

References (286)

  • C.C. Painton et al.

    Anal. Chim. Acta

    (1983)
  • J. Ruzicka et al.

    Anal. Chim. Acta

    (1986)
  • J. Ruzicka et al.

    Anal. Chim. Acta

    (1977)
  • S. Angelova et al.

    Anal. Chim. Acta

    (1983)
  • A. Fernández et al.

    Anal. Chim. Acta

    (1984)
  • M.A. Gómez-Nieto et al.

    Talanta

    (1985)
  • C.García de Maria et al.

    Anal. Chim. Acta

    (1989)
  • J. Toei

    Talanta

    (1988)
  • J. Wang et al.

    Anal. Chim. Acta

    (1984)
  • J.T. Vanderslice et al.

    Talanta

    (1981)
  • P.L. Kempster et al.

    Talanta

    (1989)
  • S.D. Kolev et al.

    Anal. Chim. Acta

    (1988)
  • S.R. Bysouth et al.

    Anal. Chim. Acta

    (1986)
  • A. Fernández et al.

    Anal. Chim. Acta

    (1987)
  • A. Ríos et al.

    Talanta

    (1987)
  • M. del Valle et al.

    Anal. Chim. Acta

    (1990)
  • G.D. Clark et al.

    Talanta

    (1991)
  • S.D. Kolev et al.

    Anal. Chim. Acta

    (1988)
  • Y. Li et al.

    Anal. Chim. Acta

    (1994)
  • Y. Narusawa et al.

    Anal. Chim. Acta

    (1994)
  • I.C. van Nugteren-Osinga et al.

    Anal. Chim. Acta

    (1988)
  • I.C. van Nugteren-Osinga et al.

    Anal. Chim. Acta

    (1989)
  • I.C. van Nugteren-Osinga et al.

    Anal. Chim. Acta

    (1990)
  • B.F. Johnson et al.

    Talanta

    (1992)
  • F. Dondi et al.

    J. Chromatogr.

    (1984)
  • F. Dondi et al.

    J. Chromatogr.

    (1984)
  • A.U. Ramsing et al.

    Anal. Chim. Acta

    (1981)
  • D. Chen et al.

    Anal. Chim. Acta

    (1990)
  • H.C. Smit et al.

    Anal. Chim. Acta

    (1988)
  • J.M. Reijn et al.

    Anal. Chim. Acta

    (1980)
  • J.H.M. van den Berg et al.

    Anal. Chim. Acta

    (1980)
  • S.H. Brooks et al.

    Anal. Chim. Acta

    (1990)
  • H. Poppe

    Anal. Chim. Acta

    (1980)
  • J.M. Reijn et al.

    Anal. Chim. Acta

    (1981)
  • J.M. Reijn et al.

    Anal. Chim. Acta

    (1983)
  • D. Betteridge et al.

    Anal. Chim. Acta

    (1984)
  • J. Ruzicka et al.

    Anal. Chim. Acta

    (1990)
  • P.D. Wentzell et al.

    Anal. Chim. Acta

    (1993)
  • M.J.E. Golay et al.

    J. Chromatogr.

    (1979)
  • J.G. Atwood et al.

    J. Chromatogr.

    (1981)
  • S.R. Bysouth et al.

    Anal. Chim. Acta.

    (1992)
  • C.C. Painton et al.

    Anal. Chim. Acta

    (1984)
  • J.T. Vanderslice et al.

    Anal. Chim. Acta

    (1986)
  • H. Wada et al.

    Anal. Chim. Acta

    (1986)
  • J. Ruzicka et al.

    Flow Injection Analysis

    (1981)
  • J. Ruzicka et al.

    Flow Injection Analysis

    (1988)
  • M. Valcŕcel et al.

    Flow-Injection Analysis: Principles and Applications

    (1987)
  • M. Valcárcel et al.

    Automatic Methods of Analysis

    (1988)
  • B. Karlberg et al.

    Flow Injection Analysis: A Practical Guide

    (1989)
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