Low-cost and portable volatile organic compound (VOC) sensors, such as metal oxide (MOx) sensors have been developed and implemented in many indoor environments. But there is a lack of comprehensive studies on how accurate and reliable these sensors are and how to interpret the data from such sensors. This study aims to address these gaps in knowledge and data by conducting a comprehensive evaluation of current low-cost VOC sensors. The performance and limitations of the sensors were assessed in terms of stability, sensitivity, accuracy, detection limits, and recovery time for 11 individual VOCs of indoor air quality (IAQ) concern including toluene, formaldehyde, acetone, dichloromethane, tetrachloroethylene, 1,1,1-trichloroethane, m-xylene, naphthalene, acetaldehyde, phenol, and benzene. A standard procedure was developed for investigating the sensors in a 50 L stainless steel chamber with various VOC concentration levels that are relevant to realistic indoor environmental conditions. A total of seven types of commercially available off-the-shelf sensors with different configurations of various operating temperatures and sleep cycles, were tested. Sensor’s performances were quantified and evaluated based on their sensitivity, accuracy and stability and were classified into three levels: high, medium and low performances. Results show that six sensors exhibited reliable detection capabilities for at least one of the following compounds: acetaldehyde, acetone, benzene, phenol, tetrachloroethylene, and toluene while the sensor’s performance level varied among the compounds and sensor configurations. Among 40 tested sensor-configuration pairs, 11 showed high performance for acetaldehyde detection, 10 for acetone, 5 for tetrachloroethylene, 1 each for benzene, phenol, and toluene, while others showed medium to low performance. The test results revealed the limitations of most existing low-cost sensors including poor compound specificity, low sensitivity, low stability and poor accuracy. Future improvements are needed on sensing materials, on-chip signal processing, and interpretation of sensor data for IAQ assessment. These findings will help develop guidance for selecting and using low-cost VOC sensors for IAQ monitoring and control as well as for new sensor development and evaluation.
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