Chemiresistive Sensor

Chemiresistive sensors, arrays of materials whose electrical resistance changes upon exposure to chemicals, are being actively researched for their potential in diverse applications, particularly within the Internet of Things. Current research focuses on improving data processing efficiency through techniques like quantum principal component analysis and optimizing sensor array designs for energy efficiency using ensemble learning methods that selectively activate subsets of sensors. These advancements, coupled with the development of rapid and accurate classification algorithms like ChemTime for multivariate time series data, aim to enhance the sensitivity, speed, and reliability of chemiresistive sensing for applications ranging from environmental monitoring to food quality control.