MQ-135 Air Quality Sensor Hazardous Gas Detection Module | Gas & Air Quality Sensor

Description Key Features of MQ-135 Air Quality Sensor Hazardous Gas Detection Module Detects multiple hazardous and air-polluting gases Sensitive to NH₃, NOx, benzene, smoke, alcohol, and CO₂ Analog and digital output support Adjustable sensitivity using onboard potentiometer Stable and reliable long-term performance Fast response and recovery time Compact module design for easy integration Low cost and widely supported by Arduino libraries Ideal for air quality and pollution monitoring projects   Technical Specifications Parameter Specification Sensor Type Air Quality / Hazardous Gas Sensor Model MQ-135 Operating Voltage 5V DC Output Type Analog & Digital Detectable Gases NH₃, NOx, CO₂, Benzene, Alcohol, Smoke Heating Voltage 5V Response Time Fast Sensitivity Adjustment Yes (Onboard Potentiometer) Interface Analog & Digital Application Air Quality Monitoring Module Type PCB Mounted Compatibility & Integration The MQ-135 Air Quality Sensor Hazardous Gas Detection Module is compatible with: Arduino UNO / Nano / Mega ESP8266 NodeMCU ESP32 development boards Raspberry Pi (with ADC module) STM32 microcontrollers IoT air quality monitoring systems Smart city and environmental projects Because it provides analog output, the sensor allows fine-grained measurement of gas concentration trends over time. Common Applications The MQ-135 Air Quality Sensor Hazardous Gas Detection Module is widely used in: Indoor air quality monitoring Pollution detection systems Smart home air monitoring HVAC air quality control prototypes Industrial safety projects Environmental research and data logging IoT-based air quality dashboards Educational electronics and sensor labs Its ability to detect multiple gases makes it ideal for general air quality analysis rather than single-gas detection. Ideal for Education & Research The MQ-135 Air Quality Sensor Hazardous Gas Detection Module is extensively used in: Engineering and polytechnic colleges Environmental science projects IoT and smart city research Arduino and embedded systems training Student innovation and final-year projects Students can easily learn concepts such as gas sensing, analog signal processing, calibration, and environmental monitoring.