Description
Key Features of MQ-135 Air Quality Sensor Hazardous Gas Detection Module
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Detects multiple hazardous and air-polluting gases
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Sensitive to NH₃, NOx, benzene, smoke, alcohol, and CO₂
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Analog and digital output support
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Adjustable sensitivity using onboard potentiometer
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Stable and reliable long-term performance
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Fast response and recovery time
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Compact module design for easy integration
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Low cost and widely supported by Arduino libraries
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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:
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Arduino UNO / Nano / Mega
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ESP8266 NodeMCU
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ESP32 development boards
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Raspberry Pi (with ADC module)
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STM32 microcontrollers
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IoT air quality monitoring systems
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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:
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Indoor air quality monitoring
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Pollution detection systems
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Smart home air monitoring
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HVAC air quality control prototypes
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Industrial safety projects
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Environmental research and data logging
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IoT-based air quality dashboards
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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:
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Engineering and polytechnic colleges
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Environmental science projects
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IoT and smart city research
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Arduino and embedded systems training
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Student innovation and final-year projects
Students can easily learn concepts such as gas sensing, analog signal processing, calibration, and environmental monitoring.
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