PVA Coated Glass Substrates for Acetone Detection

Authors

  • Marlina Jahava Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, 76100 Durian Tunggal, Melaka, Malaysia
  • Mohd Hafiz Jali Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, 76100 Durian Tunggal, Melaka, Malaysia
  • Muhammad Azizi Abdul Rahman Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, 76100 Durian Tunggal, Melaka, Malaysia
  • Md. Ashadi Md Johari Faculty of Electrical and Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka, 76100 Durian Tunggal, Melaka, Malaysia
  • Aminah Ahmad Faculty of Electrical and Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka, 76100 Durian Tunggal, Melaka, Malaysia
  • Haziezol Helmi Mohd Yusof Faculty of Electronics and Computer Engineering, Universiti Teknikal Malaysia Melaka, 76100 Durian Tunggal, Melaka, Malaysia
  • Siti Halma Johari Faculty of Electrical and Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka, 76100 Durian Tunggal, Melaka, Malaysia
  • Sulaiman Wadi Harun Faculty of Engineering, University of Malaya, 59100 Kuala Lumpur, Malaysia
  • Siddharth Thokchom School of Technology, Assam Don Bosco University, India

DOI:

https://doi.org/10.37934/araset.33.2.187197

Keywords:

Acetone, Polyvinyl Alcohol PVA, Glass Substrate, Diabetes

Abstract

Technology advancement in photonics has progressively tailor human need in healthcare industries. Inventing a new medical device or application for the mental and health sectors have make disease diagnosis easier. Without prevention, the number of sufferers may rise quickly. Studies have identified a way to diagnose diabetes illness by measuring a person's acetone level. The existing blood test have inferiority in term of invasive and dangerous if not handled properly. In this report, acetone concentration has been detected using a simple, low-cost Polyvinyl Alcohol (PVA) coated glass substrate platform as a potential diagnosis tool for diabetes patient. Based on the experiment results, the proposed sensor exhibits exceptional sensing performances for acetone detection in term of sensitivity, linearity, repeatability, stability and hysteresis

Author Biographies

Marlina Jahava, Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, 76100 Durian Tunggal, Melaka, Malaysia

m012210028@student.utem.edu.my

Mohd Hafiz Jali, Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, 76100 Durian Tunggal, Melaka, Malaysia

mohd.hafiz@utem.edu.my

Muhammad Azizi Abdul Rahman, Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, 76100 Durian Tunggal, Melaka, Malaysia

Aziziman97@gmail.com

Md. Ashadi Md Johari, Faculty of Electrical and Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka, 76100 Durian Tunggal, Melaka, Malaysia

ashadi@utem.edu.my

Aminah Ahmad, Faculty of Electrical and Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka, 76100 Durian Tunggal, Melaka, Malaysia

aminah@utem.edu.my

Haziezol Helmi Mohd Yusof, Faculty of Electronics and Computer Engineering, Universiti Teknikal Malaysia Melaka, 76100 Durian Tunggal, Melaka, Malaysia

haziezol@utem.edu.my

Siti Halma Johari, Faculty of Electrical and Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka, 76100 Durian Tunggal, Melaka, Malaysia

siti.halma@utem.edu.my

Sulaiman Wadi Harun, Faculty of Engineering, University of Malaya, 59100 Kuala Lumpur, Malaysia

swharun@um.edu.my

Siddharth Thokchom, School of Technology, Assam Don Bosco University, India

siddharth.th93@hotmail.com

Downloads

Published

2023-11-02

How to Cite

Marlina Jahava, Mohd Hafiz Jali, Muhammad Azizi Abdul Rahman, Md. Ashadi Md Johari, Aminah Ahmad, Haziezol Helmi Mohd Yusof, Siti Halma Johari, Sulaiman Wadi Harun, & Siddharth Thokchom. (2023). PVA Coated Glass Substrates for Acetone Detection. Journal of Advanced Research in Applied Sciences and Engineering Technology, 33(2), 187–197. https://doi.org/10.37934/araset.33.2.187197

Issue

Vol. 33 No. 2: January (2024)

Section

Articles