• Title of article

    Chemical sensor array for multicomponent analysis of biological liquids Original Research Article

  • Author/Authors

    Andrey Legin، نويسنده , , Alla Smirnova، نويسنده , , Alisa Rudnitskaya، نويسنده , , Larisa Lvova، نويسنده , , Elena Suglobova، نويسنده , , Yuri Vlasov، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 1999
  • Pages
    5
  • From page
    131
  • To page
    135
  • Abstract
    The development of new methods of on-line monitoring of biological liquids such as human blood, blood plasma or dialysis solutions for artificial kidney is still an urgent task. Ion-selective chemical sensors (ISEs) are convenient instruments for this purpose and are widely used in commercial blood analysers. However, they have significant drawbacks. The promising way to overcome them is the use of array of sensors with cross-sensitivity together with pattern recognition methods. The present work has been concerned with the development of a multisensor system for simultaneous determination of Ca2+, Mg2+, Na+, HCO−3, Cl−, H+ and HPO2−4 ions in solution modelling human blood plasma. The sensor array included 30 sensors based on non-specific original PVC materials, both cation- and anion-sensitive. Sensing materials for the array were chosen on the basis of cross-sensitivity estimation results with the help of the method that we suggested earlier. Back-propagation artificial neural network was utilised for data processing. It was demonstrated that the sensor array approach allows to measure the content of all these species with an average precision of about 1–4% depending on the component in typical ranges for biological liquids, including Mg2+, HCO−3 and H2PO−4 determination and pH measurement without an oxide glass pH-electrode.
  • Keywords
    Cross-sensitivity estimation , Multisensor system , Biological liquids , Non-selective chemical sensors , Pattern recognition
  • Journal title
    Analytica Chimica Acta
  • Serial Year
    1999
  • Journal title
    Analytica Chimica Acta
  • Record number

    1027522