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Formaldehyde, a known human carcinogen, is a common indoor air pollutant.However, its real-time and selective recognition from interfering gases remainschallenging, especially for low-power sensors suffering from noise and baselinedrift. We report a fully 3D-printed quantum dot/graphene-based aerogel sensorfor highly sensitive and real-time recognition of formaldehyde at roomtemperature. By optimising the morphology and doping of the printed structures,we achieve a record-high response of 15.23 percent for 1 parts-per-millionformaldehyde and an ultralow detection limit of 8.02 parts-per-billionconsuming only 130 uW power. Based on measured dynamic response snapshots, wealso develop an intelligent computational algorithm for robust and accuratedetection in real time despite simulated substantial noise and baseline drift,hitherto unachievable for room-temperature sensors. Our framework in combiningmaterials engineering, structural design and computational algorithm to capturedynamic response offers unprecedented real-time identification capabilities offormaldehyde and other volatile organic compounds at room temperature.

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