Detection of harmful gases present in the environment

Abstract

The electronic nose (e-nose) is demonstrated in this research for detecting and identifying several forms of hazardous gases. We describe an e-noses for detecting several gases, including butane, acetone, methane, and ethanol. For dimensionality reduction in 3D representation, data processing approaches are based on the partial least square (PLS) method. The suggested system can be utilised for sensor optimization since different sensors with varied operating temperatures can be tested in many devices to find the best array for a specific detection or application. The results reveal that, depending on the sensor array characteristics, varying success rates in classification can be attained when discriminating contaminants. The preceding criteria lead to a new search for a portable, dependable, low-cost, and most efficient gas sensor. The major purpose of this study is to create a gas sensor array that can detect and monitor toxic and poisonous gases in the environment, as well as warn against dangerous organic compounds. Our goal is to create a sensor system that can distinguish the most significant decontamination gases while also being highly responsive, precise, low-effort, and low-power demanding.

Identification of chronic obstructive pulmonary disease using graph convolutional network in electronic nose

“…Electronic parts are mounted on a printed circuit board (PCB), making the sensors' responses more stable [20]. Metal oxide semiconductor gas sensors are utilized for their advantages: cheapness, durability, and high sensitivity [21], [22], as depicted in Table 1. Twenty gas sensors will contribute to measuring gas content The sampling steps are as follows.…”