relation: https://khub.utp.edu.my/scholars/15507/
title: Development of rGO based Gas Sensor for Acetone Detection
creator: Hawari, H.F.
creator: Faisal Ahmad Zaki, A.
description: Gas sensor is device that is widely used to measure gas emission in industry. It is usually part of a safety system that help to alert people in case of any hazardous gas or Volatile Organic Compound (VOC) leakage. VOC such as Acetone if exposed to high levels of inhalation would cause can eye and nasal irritation. The demand of gas sensor is increasing nowadays due safety compliance and environmental policies. However, issues such as rust, corrosion and high temperature operation have become a factor to improve existing gas sensor. Graphene is seen as a material with superior electrical conductivity, high resistance on corrosion and high sensitivity which can improve gas sensing measurement. In this research, a reduce graphene oxide (rGO) based sensor was successfully developed to detect Acetone at room temperature. Once the sensor platform was coated with rGO as the sensing material, the electrical characterization will be conducted. Quartz Crystal Microbalance (QCM) was the first sensor platform used to test the rGO sensing material where the frequency oscillation will be measured upon exposure to different VOC concentration level. Next, rGO sensing material will be coated on Interdigitated Electrode (IDE) based platform where the sensors performance will also be studied. The graphene sensor was very sensitive and was able to detect up till 10 ppm of Acetone. Furthermore, the IDE sensor repeatability result was observed to be consistent up to error value of 0.17. © 2021 IEEE.
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 2021
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Hawari, H.F. and Faisal Ahmad Zaki, A.  (2021) Development of rGO based Gas Sensor for Acetone Detection.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124004724&doi=10.1109%2fSENNANO51750.2021.9642683&partnerID=40&md5=bba0b0dc932291753a4cc5e5a64a2bf6
relation: 10.1109/SENNANO51750.2021.9642683
identifier: 10.1109/SENNANO51750.2021.9642683