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

Abstract

Air pollution and leakages of hazardous and toxic gases and chemicals are among the dangers that frequently occur at automated chemical and life science laboratories. This type of accident needs to be processed as soon as possible to avoid the harmful side effects that can happen when a human is exposed. Nitrogen oxides and volatile organic compounds are among the most prominent indoor air pollutants, which greatly affect the lifestyles in these places. In this study, a commercial MOX gas sensor, SGP41, was embedded in an IoT environmental sensor node for hazardous gas detection and alarm. The sensor can detect several parameters, including nitrogen oxide index (NOx-Index) and volatile organic compound index (VOC-Index). Several tests were conducted to detect the leakage of nitrogen oxides and volatile organic compounds in different concentrations and volumes, as well as from different leakage distances, to measure the effect of these factors on the response speed and recovery time of the sensors used. These factors were also compared between the different sensors built into the sensor node to give a comprehensive picture of the system used. The system testing results revealed that the SGP41 sensor is capable of implementing the design purposes for the target parameters, can detect a small NO2 gas leakage starting from 0.3% volume, and can detect all the tested VOC solvents ≥ 100 µL

Design of smoke detection system using deep learning and sensor fusion with recursive feature elimination cross-validation

“…SGP41 has a wide range of VOC gases, one of which is acetone, acetonitrile, benzene, diethyl ether, ethanol, hexane, isopropanol, methanol, and toluene where these gases are an indication of a gas leak that can spread to a fire. SGP41 can measure these gases with a fast step response time, low concentrations, and varied gas distances than the BME688 [36]. The sensors are selected based on the needs, accuracy, and range of the type of parameter measurement being detected.…”

Smart Chemical Material Store System Using IOT and Raspberry PI

“…Mohammed Faeik Ruzaij Al-Okby and others in 2022 [22]coordinated a commercial MOX gas sensor, SGP41, into an IoT natural sensor hub to identify and caution of perilous gasses. The analysts appeared that the sensor identified a few parameters, counting the nitrogen oxide list (NOx-Index) and the unstable natural compounds file (VOC-Index).…”

Index Air Quality Monitoring for Light and Active Mobility

“…Moreover, this platform has been proposed as a personal environmental device with the aim of providing a cost-effective personal environmental exposure monitoring device evaluating the detrimental effects of pollutants (by measuring the levels of CO, CO 2 , O 3 , H 2 S, as well as temperature, pressure, motion, and the relative concentration of VOCs) on human health [40]. However, to the best of authors' knowledge, just a few works in the literature report systematic measurement data relevant to the BME688 sensor [33,41]. Nonetheless, it should be noted that such works focus on the behavior of the BME688 exposed to VOCs such as hexane and ethanol, while this paper is mainly concerned with the study of CO 2 concentration and of the IAQ index, together with raw data made available from the sensor including the effects of temperature and relative humidity.…”