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1322505 
Journal Article 
Simultaneous determination of reaction order and rate constant of consecutive reactions by union optimization algorithm of NGA-TS 
Cao, T; Zhu, Z; Huang, X; Li, T 
2005 
Yes 
Canadian Journal of Analytical Sciences and Spectroscopy
ISSN: 1205-6685 
CANADIAN SOC ANALYTICAL SCIENCES & SPECTROSCOPY 
OTTAWA 
50 
182-191 
English 
Numeric genetic algorithm (NGA) and Tabu search (TS) are
both efficient optimization algorithms. They have advantages and shortcomings. A new optimization
algorithm, NGA-TS, is proposed to enhance the efficiency of the search algorithm and avoid
entrapment into local minima. Target testing factor Analysis (TTFA), combined with NGA-TS, is
applied to resolve the two-way kinetic-spectral data obtained in the process of spectroscopic
reactions, to obtain a clean spectrum of each component and calculate the kinetic parameters
including rate constants and reaction order. By numeric integration the kinetic spectrum of each
component can be calculated. The method can also be applied to resolve the reaction system with
arbitrary reaction order. With rate constants and reaction order optimized by NGA and NGA-TS
respectively, the simulated data matrix for a two-step consecutive reaction has been successfully
resolved and it is found that NGA-TS is more efficient than NGA. The data matrices measured for
the alkaline hydrolysis of diethyl phthalate and the electrodegradation process of sunset yellow
have been solved. 
TTFA; two-way kinetic-spectral data; reaction order; rate constant; NGA-TS 
IRIS
• Diethyl phthalate (DEP)
     Database searches
          Initial Litsearch
               Web of Science
               Merged reference set
          Jan 2020 update
               Web of Science
     Excluded: No Primary Data on Health Effects
          Not chemical specific