Gas concentration analysis of resistive gas sensor array

The concept of Mobile Electronic Nose (MoLen) is very promising for Sensing as a Service (S
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aaS) applications. In Internet of Things (IoT) era, MoLen can be implemented in many real-world applications such as food quality assessment, medical applications, gas leakage detection, home or automotive safety system, environment monitoring, etc. The most important component of MoLen is gas sensor array used to detect and to collect the odor data. In this study, the resistive gas sensor is used to detect various gasses associated with beef spoilage. Metal-Oxide Semiconductor (MOS) gas sensor is one example of resistive gas sensor which is utilized to arrange MoLen gas sensor array. This work has following contributions to assist researchers and practitioners for MoLen applications. First, the mathematical model is proposed to analyze various gas concentrations based on low-cost MOS gas sensor. Second, we demonstrate gas sensor response and MoLen capability to detect various gasses associated with beef spoilage based on proposed model. The experimental result shows that the MoLen and the proposed model are feasible to be implemented for real-world applications.