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

被引:8
作者
Al-Okby, Mohammed Faeik Ruzaij [1 ,2 ]
Roddelkopf, Thomas [3 ]
Fleischer, Heidi [3 ]
Thurow, Kerstin [2 ]
机构
[1] Al Furat Al Awsat Tech Univ ATU, Tech Inst Babylon, Kufa 54003, Iraq
[2] Univ Rostock, Ctr Life Sci Automat Celisca, D-18119 Rostock, Germany
[3] Univ Rostock, Inst Automat, D-18119 Rostock, Germany
基金
欧洲研究理事会;
关键词
gas sensors; hazardous gases; nitrogen oxide index (NOx-Index); indoor air quality (IAQ); internet of things (IoT); volatile organic compounds index (VOC-index); NITROGEN-DIOXIDE; TOXICITY;
D O I
10.3390/s22218161
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
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 mu L
引用
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页数:20
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