Field-Assisted Sensitivity Amplification in a Noble Metal Nanoparticle Decorated WO3/GO Hybrid FET-Based Multisensory Array for Selective Detection of Breath Acetone

Radha Bhardwaj, Uttam Narendra Thakur, Pawan Ajmera, Rahul Singhal, Yossi Rosenwaks, Arnab Hazra*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Selective detection of acetone levels in exhaled human breath is important to diagnose complications of diabetes mellitus by the non-invasive route. In the current study, we are reporting a hybrid graphene oxide (GO) field-effect transistor (FET) based multisensory array for the selective detection of breath acetone by using a feature extraction and pattern recognition route. Backgated GO-FET was functionalized with WO3 flower-shaped nanostructures and noble metal (Au, Pd, Pt) nanoparticles to form hybrid FET sensors. By applying optimized gate voltages, the sensor response was enhanced several orders at room temperature. Therefore, an array of six sensors was tested in synthetic breath consisting of a complex mixture of multiple volatile organic compounds, various gases, 70% relative humidity and different levels of acetone. The sensors′ outcomes were then processed with phase space entire feature extraction method, and the different levels of acetone were differentiated in the synthetic breath by using Fisher discriminant analysis.

Original languageEnglish
Article numbere202100448
JournalChemNanoMat
Volume8
Issue number2
DOIs
StatePublished - Feb 2022

Keywords

  • FET sensors
  • breath acetone detection
  • feature extractions
  • hybrid graphene oxide
  • sensitivity amplification

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