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MQ-7 CO Carbon Monoxide Coal Gas Sensor
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MQ-7 CO Carbon Monoxide Coal Gas Sensor

Detect CO safely in class labs. MQ‑7 sensor brings real‑world environmental science to life!

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MQ‑7 CO Carbon Monoxide Coal Gas Sensor – Environmental Sensors
The MQ‑7 is a compact, low‑cost semiconductor sensor that detects carbon monoxide (CO) concentrations in air, especially the “coal gas” mixtures common in industrial and residential environments. Built around a tin‑oxide (SnO₂) heating element, the sensor changes its electrical resistance proportionally to the amount of CO present, delivering a reliable analog output that can be read directly by Arduino, Raspberry Pi, or any micro‑controller with an ADC. It is housed in a sturdy metal can, includes a built‑in heater control circuit, and comes pre‑calibrated for the 20 ppm – 2000 ppm range.

What students will learn

  • The chemistry of oxidation‑reduction reactions that underlie semiconductor gas sensing.
  • How to design, assemble, and program a real‑time monitoring circuit, interpreting voltage changes as CO concentration.
  • Data‑logging techniques, calibration curves, and error analysis for environmental measurements.
  • The societal impact of CO detection; safety, air‑quality monitoring, and public‑health policy, linking science to engineering, technology, and mathematics.

Key features

  • Wide detection range: 20 ppm – 2000 ppm CO.
  • Fast response (≤ 30 s) and recovery times.
  • Low power consumption (heater ≈ 150 mA at 5 V).
  • Analog voltage output (0 – 5 V) plus digital comparator pin for alarm thresholds.
  • Robust metal housing, compatible with breadboards and PCB mounts.
  • Comes with a calibration kit and detailed datasheet for classroom use.

Why it shines in STEAM education
The MQ‑7 turns an abstract environmental hazard into a hands‑on investigative project. Students blend Science (gas‑phase chemistry, sensor physics), Technology (micro‑controller programming, IoT data streaming), Engineering (circuit design, enclosure fabrication), Arts (visualizing trends with graphs, designing alerts), and Mathematics (log‑scale calibration, statistical analysis). Its immediate, measurable output sparks curiosity, encourages problem‑solving, and provides a concrete platform for interdisciplinary projects, from building a smart home safety system to conducting a school‑wide air‑quality audit.

MQ-7 CO Carbon Monoxide Coal Gas Sensor | TheSteamPod