Smart mid-infrared metasurface microspectrometer gas sensing system.

ABSTRACT: Smart, low-cost and portable gas sensors are highly desired due to the importance of air quality monitoring for environmental and defense-related applications. Traditionally, electrochemical and nondispersive infrared (IR) gas sensors are designed to detect a single specific analyte. Although IR spectroscopy-based sensors provide superior performance, their deployment is limited due to their large size and high cost. In this study, a smart, low-cost, multigas sensing system is demonstrated consisting of a mid-infrared microspectrometer and a machine learning algorithm. The microspectrometer is a metasurface filter array integrated with a commercial IR camera that is consumable-free, compact ( ~ 1 cm³) and lightweight ( ~ 1 g). The machine learning algorithm is trained to analyze

SUBMITTER: Meng J 

PROVIDER: S-EPMC11156923 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature