Tri-molybdenum phosphide (Mo3P) and multi-walled carbon nanotube junctions for volatile organic compounds (VOCs) detection

Abstract

Detection and analysis of volatile organic compounds' (VOCs) biomarkers lead to improvement in healthcare diagnosis and other applications such as chemical threat detection and food quality control. Here, we report on tri-molybdenum phosphide (Mo3P) and multiwalled carbon nanotube (MWCNT) junction-based vapor quantum resistive sensors (vQRSs), which exhibit more than one order of magnitude higher sensitivity and superior selectivity for biomarkers in comparison to pristine MWCNT junctions based vQRSs. Transmission electron microscope/scanning tunneling electron microscope with energy dispersive x-ray spectroscopy, x-ray diffraction, and x-ray photoelectron spectroscopy studies reveal the crystallinity and the presence of Mo and P elements in the network. The presence of Mo3P clearly enhanced the performance of vQRS as evidenced in sensitivity and selectivity studies. The vQRSs are stable over extended periods of time and are reproducible, making them a potential candidate for sensing related applications.

Document Details

Document Type
Pub Defense Publication
Publication Date
Sep 13, 2021
Source ID
10.1063/5.0059378

Entities

People

  • A. Karoui
  • Adetayo Adedeji
  • Alireza Kondori
  • Baleeswaraiah Muchharla
  • Bijandra Kumar
  • Brenna Daniel
  • Hani E. Elsayed-Ali
  • Kapil Kumar
  • Kishor Kumar Sadasivuni
  • Mehran Elahi
  • Mickael Castro
  • Mohammad Javad Asadi
  • Muni Raj Maurya
  • Praveen Malali
  • Wei Cao

Organizations

  • Elizabeth City State College
  • Illinois Institute of Technology
  • Maulana Azad National Institute of Technology, Bhopal
  • National Nuclear Security Administration
  • National Science Foundation
  • North Carolina College
  • Office of Naval Research
  • Old Dominion University

Tags

Readers

  • Analytical Chemistry
  • Nanocomposite Materials Science
  • Nanoscale Plasmonic Nanotechnology

Technology Areas

  • Microelectronics
  • Microelectronics - Graphene
  • Quantum Computing