Gravity: I2C Ozone Sensor (0-10ppm)
Module with an ozone detection sensor that performs measurements in the range of up to 10 ppm with a resolution of 0.01 ppm.
Overview
Gravity: I2C Ozone Sensor (0-10ppm) is based on electrochemical principles and it can measure the ambient O3 concentration accurately and conveniently. With high anti-interference ability, high stablility and high sensitivity, this arduino-compatible ozone sensor can be widely applied to fields like portable device, air quality monitoring device, disinfection cabinets and smart home.
This compact dfrobot ozone sensor supports I2C output, it is compatible with many mainboards like Arduino Uno, esp32, Raspberry Pi and so on. Its resolution can reach to 10ppb. It supports wide range input voltage: 3.3V to 5.5V.
Moreover, the lifetime is as long as 2 years. With simple Gravity interface and practical sample code, you can build your own ozone concentration monitor easily and conveniently.
Features:
- High sensitivity
- Low power consumption
- Excellent stability and anti-interference ability
- IIC Interface
- Temperature compensation, excellent linear output
- Long lifetime
- Compatible with both 3.3V and 5V micro-controllers
- Polarity protection
Tech specs
- Detection of Gases: Ozone
- Operating Voltage: 3.3 to 5.5V DC
- Output Signal: IIC output
- Measurement Range: 0 to 10ppm
- Resolution: 0.01ppm (10ppb)
- Preheat Time: 3 minutes
- Response Time: ≤90 seconds
- Recovery Time: ≤90 seconds
- Operating Temperature: -20℃ to 50℃
- Operating Humidity: 15 to 95%RH (no condensation)
- Storage Temperature: -20℃ to 50℃
- Lifetime: >2 years (in the air)
- Board Dimension: 1.06" x 1.46" / 27mm x 37mm
Get Inspired
… about the value of air quality, while simultaneously introducing them to some core STEM concepts, Arduino has you covered. The Arduino Greenhouse Kit and the Arduino Explore IoT Kit include experiments involving air quality, allowing users to build their own sensors and tracking tools to measure a range of data points like humidity, moisture, and the presence of particles like CO2. These projects both work using the Arduino MKR IoT Carrier Rev2, which has a VOC sensor. Use AI to monitor air quality [October 10, 2024 update] The Nicla family now includes the Arduino Nicla Sense Env, ready to provide real-time data on air quality – monitoring temperature and humidity and detecting TVOCs, NO2, O3, and other gasses – both indoors and outdoors, thanks to AI-ready Renesas sensors. Find out more. Share your projects Have you created a project to monitor or improve the air quality inside your home? If so, share it on our Project Hub! Whether you're passionate about conservation or simply curious about the possibilities, now is your chance to join the community and make a difference. Don't miss out — embrace innovation while honoring our planet.
