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Updated: Dec 28, 2025

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CLIP: Carbon Dioxide testing suitable for Low power microelectronics and IOT interfaces using Room temperature Ionic

Ashlesha Bhide1, Badrinath Jagannath1, Ambalika Tanak1

  • 1Department of Biomedical Engineering, University of Texas at Dallas, 800W Campbell Rd., Richardson, TX, 75080, USA.

Scientific Reports
|February 15, 2020
PubMed
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This summary is machine-generated.

A novel electrochemical sensor prototype using room-temperature ionic liquid (RTIL) offers a portable, low-power solution for monitoring carbon dioxide (CO2) levels. This technology enables accurate room occupancy detection and enhances building management for improved air quality and energy efficiency.

Area of Science:

  • Materials Science
  • Electrochemistry
  • Sensor Technology

Background:

  • Maintaining indoor air quality and energy efficiency in buildings necessitates monitoring carbon dioxide (CO2) levels.
  • Smart building systems can utilize CO2 sensing for occupancy detection based on human respiration.
  • Existing CO2 sensing methods may lack portability, low power consumption, or non-invasive capabilities.

Purpose of the Study:

  • To develop and demonstrate the feasibility of an electrochemical sensor prototype for CO2 detection in human breath.
  • To create a portable, low-power, non-invasive CO2 sensor suitable for smart building management and occupancy monitoring.
  • To evaluate the performance characteristics of the developed RTIL-based CO2 sensor.

Main Methods:

  • Development of an electrochemical sensor prototype utilizing a room-temperature ionic liquid (RTIL) sensing element.

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  • Integration of the RTIL sensing element with low-power microelectronics and IoT interfaces for passive monitoring.
  • Characterization of the sensor's performance including dynamic range, response/reset times, sensitivity, and selectivity using AC-based electrochemical impedance spectroscopy and DC-based chronoamperometry.

    • Main Results:

    • The prototype demonstrated a wide dynamic range (400-8000 ppm), fast response (~10 s), and reset times (~6 s).
    • A high calibration response (R² of 0.956) and sensitivity (29 pF/ppm) towards CO2 were achieved.
    • The sensor exhibited three times greater selectivity for CO2 over nitrogen (N2) and oxygen (O2) at ambient conditions.

    Conclusions:

    • The developed RTIL-based electrochemical sensor prototype is feasible for CO2 detection in exhaled breath.
    • Its portability, low power, and IoT compatibility make it suitable for passive room occupancy monitoring in smart buildings.
    • The sensor's performance metrics indicate its potential as an effective tool for improving indoor air quality and energy management.