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Case-based reasoning (CBR) for multicomponent analysis using sensor arrays: application to water quality evaluation.

Montserrat Colilla1, Carlos J Fernández, Eduardo Ruiz-Hitzky

  • 1Instituto de Ciencia de Materiales de Madrid, CSIC, Cantoblanco, 28049 Madrid, Spain.

The Analyst
|January 23, 2003
PubMed
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This study introduces case-based reasoning (CBR), a novel artificial intelligence method, for analyzing complex mixtures using electrochemical sensors. CBR offers a versatile tool for rapid ion analysis in various multicomponent systems, including mineral water.

Area of Science:

  • Analytical Chemistry
  • Artificial Intelligence
  • Electrochemistry

Background:

  • Multicomponent analysis presents challenges in accurately identifying and quantifying various substances simultaneously.
  • Electrochemical sensor arrays offer a promising platform for detecting multiple analytes but require sophisticated data treatment methods.

Purpose of the Study:

  • To introduce and validate a novel artificial intelligence approach, case-based reasoning (CBR), for multicomponent analysis.
  • To demonstrate the application of CBR in conjunction with electrochemical sensor arrays for rapid ion recognition and evaluation.
  • To showcase the method's utility using mineral water samples as an illustrative example.

Main Methods:

  • Implementation of a case-based reasoning (CBR) algorithm for data analysis.

Related Experiment Videos

  • Utilizing electrochemical sensor arrays for the detection of ions in aqueous solutions.
  • Application of the developed method to analyze mineral water samples for ion content.

    • Main Results:

    • The study successfully demonstrates the efficacy of CBR for multicomponent analysis using electrochemical sensor data.
    • The method proved suitable for analyzing aqueous solutions with mixtures of ions of varying nature and concentration.
    • Rapid recognition and evaluation of mineral water samples were achieved, validating the approach.

    Conclusions:

    • Case-based reasoning (CBR) provides a simple, convenient, and improved method for multicomponent analysis with electrochemical sensor arrays.
    • This versatile tool can be applied to a wide range of multicomponent systems for obtaining analytical information about ions.
    • The method facilitates the characterization and property assignment of examined samples.