Repository logo
  • English
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Português
  • Português do Brasil
  • Suomi
  • Svenska
  • Türkçe
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Log In
    or
    New user? Click here to register.Have you forgotten your password?
Repository logo
  • Communities & Collections
  • Research Outputs
  • Projects
  • People
  • Statistics
  • English
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Português
  • Português do Brasil
  • Suomi
  • Svenska
  • Türkçe
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Log In
    or
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. Scholalry Output
  3. Publications
  4. Graphene Oxide-Based Sensor for Human Breath Monitoring
 
  • Details
Options

Graphene Oxide-Based Sensor for Human Breath Monitoring

Date Issued
2023-12-01
Author(s)
Vadera, Nikhil
Dhanekar, Saakshi
DOI
10.1109/LSENS.2023.3330796
Abstract
This letter presents a human nose breath sensor based on partially reduced graphene oxide (PrGO) operating at room temperature. The sensing layer is developed by drop casting graphene oxide (GO) on a glass substrate with silver electrodes and was partially reduced thermally at 150 °C. The results with GO film have also been compared. The developed sensor was successful in detecting various breath patterns by observing the frequency and amplitude of the sensor's current change to exposure to nose breath. The sensor was capable of differentiating between slow, normal, and fast breathing based on the response and recovery times. This sensor can be very useful for characterization of diseases, such as asthma, chronic obstructive pulmonary disease, sleep apnea, and cardiac arrest, where the person's respiration rate is measured.
Subjects
  • asthma detection

  • breath sensor

  • diagnostics

  • graphene oxide (GO)

  • sensor materials

  • Sensor phenomena

Copyright © 2016-2025  Indian Institute of Technology Jodhpur

Developed and maintained by Dr. Kamlesh Patel and Team, S. R. Ranganathan Learning Hub, IIT Jodhpur.

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Cookie settings
  • Privacy policy
  • End User Agreement
  • Send Feedback