DESCRIPTION
The sensing element is a Si-based microhotplate with a robust and highly sensitive metal oxide (MOx) chemiresistor. The signal conditioner ASIC controls the sensor temperatures and measures the MOx conductivity, which is a function of the gas concentration. The measurement results are easily read using an I2C interface with the user’s microprocessor, which processes the data. The firmware configurable platform quickly enables different ZMOD4410 features based on machine learning algorithms and embedded artificial intelligence (AI) with Renesas pre-trained models and algorithms. This is used to determine and output TVOC concentration, IAQ rating according to UBA, estimated carbon dioxide (eCO2) level, and a relative IAQ rating based on total VOC. Alternate algorithms and firmware implementations can output an absolute TVOC concentration to meet Public Building Air Quality (PBAQ) standards, odor level changes, and discrimination between sulfur-based odors. With the ultra-low operating current consumption implementation, the ZMOD4410 is an excellent choice for low-voltage and ultra-low power battery applications.