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Evaluating a Novel Gas Sensor for Ambient Monitoring in Automated Life Science Laboratories.

Mohammed Faeik Ruzaij Al-Okby^1,2, Thomas Roddelkopf³, Heidi Fleischer³

¹Technical Institute of Babylon, Al-Furat Al-Awsat Technical University (ATU), Kufa 54003, Iraq.

Sensors (Basel, Switzerland)

|November 11, 2022

Summary

A new IoT sensor node using the SGP41 MOX sensor effectively detects hazardous gas leaks, including nitrogen oxides (NOx) and volatile organic compounds (VOCs), crucial for lab safety.

Keywords:

gas sensors hazardous gases indoor air quality (IAQ)internet of things (IoT)nitrogen oxide index (NOx-Index)volatile organic compounds index (VOC-index)

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Chemiluminescence-based Assays for Detection of Nitric Oxide and its Derivatives from Autoxidation and Nitrosated Compounds

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Published on: February 16, 2022

Area of Science:

Environmental Science
Chemical Engineering
Sensor Technology

Background:

Automated chemical and life science laboratories face risks from hazardous gas leaks.
Exposure to pollutants like nitrogen oxides (NOx) and volatile organic compounds (VOCs) poses health risks.
Rapid detection and response are critical to mitigate harmful effects.

Purpose of the Study:

To develop and test an IoT environmental sensor node for detecting hazardous gas leakages.
To evaluate the performance of a commercial MOX gas sensor (SGP41) for detecting NOx and VOCs.
To assess the impact of concentration, volume, and distance on sensor response and recovery times.

Main Methods:

Integrated a commercial MOX gas sensor (SGP41) into an IoT sensor node.
Conducted tests to detect varying concentrations, volumes, and leakage distances of NOx and VOCs.
Compared sensor performance across different parameters and sensors within the node.

Main Results:

The SGP41 sensor successfully detected nitrogen oxide index (NOx-Index) and volatile organic compound index (VOC-Index).
The system detected nitrogen dioxide (NO2) gas leakage as low as 0.3% volume.
All tested volatile organic compound (VOC) solvents were detected at volumes of 100 µL or greater.

Conclusions:

The developed IoT sensor node with the SGP41 sensor is effective for hazardous gas detection in laboratory environments.
The system demonstrates capability in identifying small gas leakages, enhancing safety protocols.
The sensor's performance validates its suitability for monitoring critical air pollutants in specialized settings.