Response functions for SIMPLEX optimization of flow-injection analysis and related techniques

Burkhard Horstkotte, Carlos Duarte, Víctor Cerdà*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

13 Scopus citations


Computational optimization strategies using algorithms (e.g., modified SIMPLEX method) present a fast, efficient alternative to univariant studies of chemical and physical experimental parameters of analytical flow systems.In this review, we give an overview of the applications of the SIMPLEX algorithm for optimizing analytical systems based on unsegmented flow techniques. We compare the different response functions used for evaluating the experimental data for optimization. We also discuss their advantages and shortcomings, and, with special focus on real-time applications, the problems involved in using SIMPLEX. We summarize in tabular form the analytical applications and the parameters optimized by the SIMPLEX method.

Original languageEnglish (US)
Pages (from-to)1224-1235
Number of pages12
JournalTrAC - Trends in Analytical Chemistry
Issue number10
StatePublished - Nov 1 2010


  • Analytical system
  • Computational optimization
  • Experimental data
  • Flow-injection analysis
  • Modified SIMPLEX method
  • Optimization
  • Response function
  • Sequential flow-injection analysis
  • Unsegmented flow technique

ASJC Scopus subject areas

  • Analytical Chemistry
  • Environmental Chemistry
  • Spectroscopy


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