Enhanced and Sustainable Indoor Carbon Dioxide Monitoring by Using Ambient Light to Power Advanced Biological Sensors

Abstract

Enhancing carbon dioxide (CO2) detection is crucial for improving indoor air quality and environmental surveillance. Traditional CO2 sensors face drawbacks like high costs, large sizes, environmental impact, and reliance on external power, limiting their practicality for continuous indoor monitoring. In this research, an innovative indoor CO2‐sensing system using a self‐powered bio‐solar cell (BSC) platform is introduced. Utilizing cyanobacteria as a sensitive biocatalyst and sustainable power source, the system offers a cost‐effective, eco‐friendly, and maintenance‐free alternative to conventional sensors. It operates by monitoring electron‐transfer processes in cyanobacteria during photosynthesis, converting CO2 and water into oxygen and chemical energy, enabling accurate CO2 level monitoring. The system responds to CO2 fluctuations and issues alerts when levels are outside the recommended range of 500–1000 ppm for human health and productivity. A self‐sustaining configuration of eight BSCs—one for sensing and others for power generation—ensures continuous operation without external power. An integrated energy‐harvesting board efficiently manages power distribution to a microcontroller and display system for real‐time data visualization, with the array producing up to 400 μW. Additionally, a machine‐learning model interprets BSC outputs to accurately quantify CO2 levels, enhancing the sensor's adaptive performance.