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Comparative Study and Analysis of Non-Enzymatic Glucose (Neg) Sensors, Modelling and Simulation of a High-Performance Neg Sensor Using Finite Element Analysis

  • Ahana Fatima Alex
  • , Lewlyn L.R. Rodriguez

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    This research reports the design and simulation of a high performance non-enzymatic glucose (NEG) sensor. The function of high-performance sensor is simulated to observe its sensitivity in detecting the glucose level in blood. Non-Enzymatic Glucose sensor having a non-organic electrode namely ferrocyanide is modelled using Finite Element Method. The glucose concentration is measured by calculating the current generated when electrode reaction occurs in the strip. Sensitivity is observed for different glucose concentrations. The sensor could detect glucose concentrations at values as low as 0.1mmol/L by generating a corresponding current of 0.5 A/m2. The design has been compared with experimental results obtained from other research studies. Results indicate that ferrocyanide shows promising outcomes both in terms of sensitivity and selectivity in comparison to other electrode materials which are currently in use.

    Original languageEnglish
    Title of host publication2022 Advances in Science and Engineering Technology International Conferences, ASET 2022
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781665418010
    DOIs
    Publication statusPublished - 2022
    Event2022 Advances in Science and Engineering Technology International Conferences, ASET 2022 - Dubai, United Arab Emirates
    Duration: 21-02-202224-02-2022

    Publication series

    Name2022 Advances in Science and Engineering Technology International Conferences, ASET 2022

    Conference

    Conference2022 Advances in Science and Engineering Technology International Conferences, ASET 2022
    Country/TerritoryUnited Arab Emirates
    CityDubai
    Period21-02-2224-02-22

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 7 - Affordable and Clean Energy
      SDG 7 Affordable and Clean Energy

    All Science Journal Classification (ASJC) codes

    • Process Chemistry and Technology
    • Artificial Intelligence
    • Energy Engineering and Power Technology
    • Renewable Energy, Sustainability and the Environment
    • Electrical and Electronic Engineering
    • Industrial and Manufacturing Engineering
    • Mechanical Engineering
    • Waste Management and Disposal

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