The SGP30 air quality sensor offers a complete sensor system integrated into a very small 2.45 x 2.45 x 0.9mm3 DFN package featuring an I2C interface and fully calibrated air quality output signals. Sensirion’s MOXSens® Technology enables highly sensitive and reliable measurements of typical indoor chemical pollutants like volatile organic compounds (VOC’s). Higher concentrations of these pollutants affect humans negatively causing irritation in skin, eyes and nose, headaches, reduced cognitive abilities and respiratory issues1,2.
The SGP further combines multiple metal-oxide (MOX) sensing elements on one chip to provide additional air quality signals such as equivalent CO2 using the Hydrogen signal from the sensor3. The SGP30 enables easy and quick integration of the sensor with in-built digital signal processing, I2C interface and lowers total cost of implementation. Thanks to Sensirion’s dynamic baseline compensation algorithms and on-chip calibration along with humidity compensation, the sensor is able to read out accurate air quality measurements (Figure 1).
Figure 1: Block diagram of SGP30 (Source: Sensirion)
Traditional metal-oxide gas sensors suffer from poor long-term stability caused by irreversible contamination from siloxanes. This contamination results in significant loss of VOC sensitivity as well as a detrimental increase of response time. Sensirion’s proprietary MOXSens® Technology provides the SGP30 with unmatched robustness against siloxanes, resulting in unique long-term stability and accuracy (Figure 2).
Figure 2: Testing long-term stability of MOX Sensors (Source: Sensirion)
Start Developing with Sensirion’s Environmental Sensing Shield
The Environmental Sensing Shield (ESS) is a sensor shield that features Sensirion’s SHTC1 humidity and temperature sensor along with the SGP30 air quality sensor. It uses the popular Arduino footprint, which has been adopted by many reference designs and development kits. Sensirion is offering sample code for a number of platforms, including Future Electronics' Nebula IoT reference design board.
1 Allen et al., Environ. Health Perspect. 124, 805 (2015)
2 Kjaergaard et al. Atmosph. Environ. 25a, 1417 (1991)
3 Tadesse at al., J. Exp. Phys. 65, 85 (1980)