Highly Selective Ethanol MEMS Sensor and U-Disk Detector Based on Solid Phase Extraction for Breath Alcohol Detection

Area of Science:

• Materials Science
• Chemical Sensors
• Traffic Safety Engineering

Background:

• Drunk driving poses a significant global traffic safety risk, contributing to 50-60% of accidents.
• Existing metal oxide gas sensors lack selectivity, leading to cross-interference in drunk driving detection.
• Volatile organic compounds (VOCs) in exhaled breath can interfere with ethanol detection.

Purpose of the Study:

• To develop a highly selective ethanol sensor for drunk driving detection.
• To address the cross-interference problem in breath analysis using temperature modulation.
• To create a portable and sensitive drunk driving detection device.

Main Methods:

• Utilized selective extraction and programmed temperature desorption (PTD) technology.
• Developed a temperature-modulated on-chip PTD ethanol sensor with ZSM-5 and Pt@SnO2.
• Optimized temperature modulation parameters (heating/cooling rates, adsorption time) for precise ethanol quantification.

Main Results:

• Achieved high selectivity for ethanol detection in exhaled breath.
• Minimized interference from other VOCs, with a maximum deviation equivalent to 5.20 ppm ethanol.
• Integrated the sensor into a portable U-disk drunk driving detector with superior sensitivity and anti-interference.

Conclusions:

• The developed sensor effectively solves the cross-interference issue in ethanol detection.
• The portable drunk driving detector demonstrates significant improvements over commercial products.
• The rapid ethanol extraction by ZSM-5 is key to the sensor's high selectivity.