Real-time, noise and drift resilient formaldehyde sensing at room temperature with aerogel filaments.

ABSTRACT: Formaldehyde, a known human carcinogen, is a common indoor air pollutant. However, its real-time and selective recognition from interfering gases remains challenging, especially for low-power sensors suffering from noise and baseline drift. We report a fully 3D-printed quantum dot/graphene-based aerogel sensor for highly sensitive and real-time recognition of formaldehyde at room temperature. By optimizing the morphology and doping of printed structures, we achieve a record-high and stable response of 15.23% for 1 part per million formaldehyde and an ultralow detection limit of 8.02 parts per billion consuming only ∼130-microwatt power. On the basis of measured dynamic response snapshots, we also develop intelligent computational algorithms for robust and accurate detection in real time de

SUBMITTER: Chen Z 

PROVIDER: S-EPMC10857368 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature