Publication | Open Access
High Sensitivity Gas Detection Using a Macroscopic Three-Dimensional Graphene Foam Network
558
Citations
22
References
2011
Year
EngineeringGas SensorChemistryGraphene NanomeshesChemical EngineeringGraphene-based Nano-antennasCarbon-based MaterialUltra-high SensitivityMaterials SciencePhysicsHigh SensitivityNanotechnologyGas DetectionChemical EnvironmentSensorsNanomaterialsFlexible ElectronicsNatural SciencesGraphene FiberApplied PhysicsGrapheneGraphene Nanoribbon
Nanostructures offer ultra‑high chemical sensitivity but are complex, costly, and unreliable, whereas conventional solid‑state and polymer sensors are reliable yet less sensitive at room temperature. A macroscopic three‑dimensional graphene foam network achieves ppm‑level detection of NH₃ and NO₂ at room temperature, is mechanically robust, flexible, affordable, and allows fully reversible, low‑power operation through Joule‑heating.
Nanostructures are known to be exquisitely sensitive to the chemical environment and offer ultra-high sensitivity for gas-sensing. However, the fabrication and operation of devices that use individual nanostructures for sensing is complex, expensive and suffers from poor reliability due to contamination and large variability from sample-to-sample. By contrast, conventional solid-state and conducting-polymer sensors offer excellent reliability but suffer from reduced sensitivity at room-temperature. Here we report a macro graphene foam-like three-dimensional network which combines the best of both worlds. The walls of the foam are comprised of few-layer graphene sheets resulting in high sensitivity; we demonstrate parts-per-million level detection of NH(3) and NO(2) in air at room-temperature. Further, the foam is a mechanically robust and flexible macro-scale network that is easy to contact (without Lithography) and can rival the durability and affordability of traditional sensors. Moreover, Joule-heating expels chemisorbed molecules from the foam's surface leading to fully-reversible and low-power operation.
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