MQ-3 Smoke Sensor (ethanol)
π§ͺ MQ-3 Alcohol Gas Sensor Module β Overview
The MQ-3 is a high-sensitivity semiconductor gas sensor designed to detect alcohol vapors, primarily ethanol, in the air. It is widely used in applications such as breath alcohol testers, vehicle alcohol detection systems, and air quality monitoring devices. The sensor operates by measuring the change in resistance of its sensitive layer in the presence of alcohol vapors.
π Key Features
High Sensitivity to Alcohol: Specifically designed to detect ethanol vapors, making it ideal for breathalyzer applications.
Dual Output: Provides both analog and digital outputs for flexible integration with microcontrollers.
Adjustable Sensitivity: Features a built-in potentiometer to fine-tune the sensor's sensitivity.
Fast Response Time: Offers quick detection of alcohol vapors, ensuring timely responses in safety-critical applications.
Low Power Consumption: Operates at 5V with a current consumption of approximately 150mA.
Long Lifespan: Designed for extended use with proper calibration.
βοΈ Technical Specifications
Parameter | Specification |
---|---|
Operating Voltage | 5V DC |
Current Consumption | ~150mA |
Preheating Time | ~24 hours (for optimal accuracy) |
Analog Output Range | 0V to 5V |
Digital Output | TTL logic level (0V or 5V) |
Sensitivity Adjustment | Built-in potentiometer |
Response Time | Fast response with high sensitivity |
π οΈ Applications
Breath Alcohol Testers: Detect alcohol concentration in exhaled breath.
Vehicle Alcohol Detection Systems: Prevent vehicle operation if alcohol vapors are detected.
Air Quality Monitoring Devices: Monitor ethanol levels in various environments.
DIY Electronics Projects: Integrate into custom safety or monitoring systems.
π Wiring Guide for Arduino Integration
VCC β 5V (Arduino)
GND β GND (Arduino)
A0 (Analog Output) β A0 (Arduino)
D0 (Digital Output) β Digital Pin (e.g., D2 on Arduino)
π Resources & Tutorials
Datasheet: MQ-3 Sensor Datasheet
Tutorial: Using MQ-3 with Arduino
Video Guide: MQ-3 Gas Sensor Module Tutorial