TY - JOUR
T1 - Response functions for SIMPLEX optimization of flow-injection analysis and related techniques
AU - Horstkotte, B.
AU - Duarte, Carlos
AU - Cerda, V.
PY - 2010
Y1 - 2010
N2 - 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. (C) 2010 Elsevier Ltd. All rights reserved.
AB - 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. (C) 2010 Elsevier Ltd. All rights reserved.
U2 - 10.1016/j.trac.2010.07.006
DO - 10.1016/j.trac.2010.07.006
M3 - Article
SN - 0165-9936
VL - 29
SP - 1224
EP - 1235
JO - TRAC-TRENDS IN ANALYTICAL CHEMISTRY
JF - TRAC-TRENDS IN ANALYTICAL CHEMISTRY
IS - 10
ER -