Simultaneous determination of potassium and sodium by optode spectra and an artificial neural network algorithm

Wing Hong CHAN*, Albert W M LEE, Daniel W J KWONG, Yi Zeng Liang, Ke Min Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

24 Citations (Scopus)

Abstract

An optode device that contains two optical ion-selective membranes for potassium and sodium was used to obtain optode spectra of mixtures of these two ions. Such spectra are a non-linear function of the concentrations of the two ions. A back-propagation artificial neural network (BP-ANN) model was used to analyse these mixture optode spectra. The results showed that the BP-ANN technique is satisfactory for treating such non-linearity embedded in the data. In addition, an index for addressing the quality of the model approximation was defined and shown to be highly effective in controlling over-fitting in BP-ANN training.

Original languageEnglish
Pages (from-to)657-661
Number of pages5
JournalThe Analyst
Volume122
Issue number7
DOIs
Publication statusPublished - Jul 1997

Scopus Subject Areas

  • Analytical Chemistry
  • Biochemistry
  • Environmental Chemistry
  • Spectroscopy
  • Electrochemistry

User-Defined Keywords

  • Neural network
  • Non-linear multivariate calibration
  • Optode spectrum
  • Over-fitting
  • Potassium and sodium determination

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