A novice’s approach to Arduino for scientific research

Single-board microcontrollers such as the Raspberry Pi and Arduino platforms have massively increased in use over the past decade, by both experts and hobbyists. Here I present a design for an Arduino based gaseous CO2 sensor that uses ready-made components to create a bespoke device as a low cost, DIY alternative to “off-the-shelf” products. The open-source nature of the Arduino platform, as well as its relatively clear programming environment, means there is a wealth of free online resources accessible to beginners and advanced users alike.

The ongoing purpose of my PhD research is to monitor CO2 being released from peatland rivers during erosion events. This talk will give a brief overview of how I chose the components to include on this monitoring device, the function each performs, and the code I used to generate a useful and informative output.
Initial tests using the SenseAir K30 CO2 sensor demonstrate, after an offset regression, a low error when compared to scientific standard equipment. This is combined with a comparably low cost and independent user control over data collection and system alteration or add-ons. Research that could benefit from the use of this device and other Arduino based systems are limited only by the creativity of the user.