Ethanol breath measuring system

Driving after drinking is considered extremely dangerous and severe limits to alcohol drink before driving are enforced in several countries. This paper describes a simple and cheap device which is capable of estimating the blood ethanol level from the expired breath. The device employs a 3 mm×6 mm gas sensor based on Nb2O5 thin-film which features good sensing performance towards ethanol. A suitable electronic circuit is employed in order to measure the conductivity of the gas sensor and to control its working temperature. The circuit is based on a small microcontroller board (Teensy 3.2) and some additional analog circuitry. Similar devices are already available off-theshelf, however, most of them do not guarantee an accuracy suitable for a quantitative measurement of breath ethanol. The proposed system, instead, has been developed trying to optimize accuracy, power consumption and size. Furthermore, such a system employs a novel gas sensor based on a Nb2O5 sensing film, which has not yet been employed in such a field. The system allows one to set the working temperature of the sensor at its optimal value (350 °C) and to simultaneously measure the sensor resistance in the range between 10 MΩ and approximately 1 GΩ. The quite low power consumption together with the very small size of the system make it very suitable for portable applications such as alcohol drive tests which can warn drivers before starting driving.

[1]  A. Trotta,et al.  Design of a microwave sensor for measurement of water in fuel contamination , 2019, Measurement.

[2]  T. Osotchan,et al.  Room temperature alcohol sensors based on PANi/MWCNT composite thin film , 2015, 2015 IEEE SENSORS.

[3]  Sunipa Roy,et al.  Alcohol sensing performance of ZnO nano-flower based resistive sensor: Comparative study , 2018, 2018 Emerging Trends in Electronic Devices and Computational Techniques (EDCT).

[4]  Marco Parvis,et al.  Employment of Nb2O5 thin-films for ethanol sensing , 2020, 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).

[5]  Marco Parvis,et al.  An Optical Sampling System for Distributed Atmospheric Particulate Matter , 2019, IEEE Transactions on Instrumentation and Measurement.

[6]  Luis Felipe Giraldo,et al.  Dynamics of Metabolism and Decision Making During Alcohol Consumption: Modeling and Analysis , 2017, IEEE Transactions on Cybernetics.

[7]  Luca Lombardo,et al.  Development and characterization of sensors for human health , 2019 .

[8]  Ultra-Low-Power Alcohol Vapor Sensors Based on Multi-Walled Carbon Nanotube , 2006, 2006 1st IEEE International Conference on Nano/Micro Engineered and Molecular Systems.

[9]  Anna Maria Lucia Lanzolla,et al.  Modelling study for assessment and forecasting variation of urban air pollution , 2008 .

[10]  Tsuyoshi Murata,et al.  {m , 1934, ACML.

[11]  Marco Parvis,et al.  High Sensitive and Selective Minisensor for Acetone Monitoring , 2020, IEEE Transactions on Instrumentation and Measurement.

[12]  F. Alam,et al.  Selective Detection of Alcohol Through Ethyl-Glucuronide Immunosensor Based on 2D Zinc Oxide Nanostructures , 2019, IEEE Sensors Journal.

[13]  Mohamed Elhoseny,et al.  The impact of the hybrid platform of internet of things and cloud computing on healthcare systems: opportunities, challenges, and open problems , 2017, Journal of Ambient Intelligence and Humanized Computing.