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

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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