Abstract
This paper introduces a miniaturized personal electronic nose (39 mm × 33 mm), which is managed through an app developed on a smartphone. The electronic nose (e-nose) incorporates four new generation digital gas sensors. These MOx-type sensors incorporate a microcontroller in the same package, being also smaller than the previous generation. This makes it easier to integrate them into the electronics and improves their performance. In this research, the application of the device is focused on the detection of atmospheric pollutants in order to complement the information provided by the reference stations. To validate the system, it has been tested with different concentrations of NOx including some tests specifically developed to study the behavior of the device in different humidity conditions. Finally, a mobile application has been developed to provide classification services. In this regard, a neural network has been developed, trained, and integrated into a smartphone to process the information retrieved from e-nose devices.
Highlights
Most research studies and media emphasize that air pollution is one of the greatest environmental health risks worldwide
In order to study the performance of the electronic nose for detecting and discriminating contaminants, some measurements have been made in the laboratory
A homemade gas line has been developed and used to perform pulses of NO2 and nitric oxide (NO) at different concentrations. This system (Figure 5) allows to mix up to four gases from gas cylinders at the desired concentration. It is composed by mass flow controllers, electrovalves, and a gas expansion module, and it is controlled by a PLC with a touch screen
Summary
Most research studies and media emphasize that air pollution is one of the greatest environmental health risks worldwide. It is often imperceptible to people, which makes it go unnoticed. According to the latest data from the World Health Organization (WHO), air pollution causes up to million deaths a year [1]. There are numerous research studies demonstrating the adverse effects of pollution on almost every system of the human body [2,3,4]. Reference air quality measurement systems are found in a few locations. It is generally due to the high cost of air quality monitoring stations, which makes it difficult to get real-time relevant data with sufficient spatial resolution
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