Oct, 31, 2024

Vol.57 No.5

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  • KISE Journal of Korean Institute of Surface Engineering
  • Volume 55(3); 2022
  • Article

Review

KISE Journal of Korean Institute of Surface Engineering 2022;55(3):156-163. Published online: Jul, 12, 2022

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DOI : 10.5695/JSSE.2022.55.3.156

Suggestion for deep learning approach to solve the interference effect of ammonium ion on potassium ion-selective electrode

  • Min-Yeong Kima, Jae-Yeong Heoa, Eun Hun Ohc, Joo-Yul Leea, and Kyu Hwan Leea, b,*
    aDepartment of Electrochemistry, Surface Technology Division, Korea Institute of Materials Science (KIMS), Changwon, 51508, Republic of Korea bAdvanced Materials Engineering, University of Science and Technology (UST), Changwon, 51508, Republic of Korea c
Abstract

An ammonium ion with a size and charge similar to that of potassium can bind to valinomycin, which is used as an ion carrier for potassium, and cause a meaningful interference effect on the detection of potassium ions. Currently, there are few ion sensors

Keywords : K ion detection; ion-selective electrode; NH4 + interference behavior; K+ sensor; deep learning.