Nature Communications · 2015 · 538 citations · 39 references
EngineeringMaterials EngineeringMaterials ScienceSemiconductor DevicesSensorsThin FilmsAcoustic SensorsOrganic Electronic MaterialsOrganic SemiconductorsPressure SensorsSoft SensorsAcoustic WavesFlexibilityOrganic Thin-film TransistorsPressure MappingPressure SensingResponse TimeSensingSensitivity
The utilization of organic devices as pressure‑sensing elements in artificial intelligence and healthcare applications represents a fascinating opportunity for next‑generation electronic products. The study aims to develop low‑cost, large‑area, ultra‑sensitive, flexible organic pressure sensors, presenting SGOTFTs as a platform that enables ultra‑sensitive pressure detection. SGOTFTs employ a suspended gate geometry that allows fine‑tuning of sensitivity. The SGOTFTs achieve an unprecedented sensitivity of 192 kPa⁻¹, a limit of detection below 0.5 Pa, and a 10 ms response time, enabling real‑time acoustic wave detection and practical spatial pressure mapping.
Abstract The utilization of organic devices as pressure-sensing elements in artificial intelligence and healthcare applications represents a fascinating opportunity for the next-generation electronic products. To satisfy the critical requirements of these promising applications, the low-cost construction of large-area ultra-sensitive organic pressure devices with outstanding flexibility is highly desired. Here we present flexible suspended gate organic thin-film transistors (SGOTFTs) as a model platform that enables ultra-sensitive pressure detection. More importantly, the unique device geometry of SGOTFTs allows the fine-tuning of their sensitivity by the suspended gate. An unprecedented sensitivity of 192 kPa −1 , a low limit-of-detection pressure of <0.5 Pa and a short response time of 10 ms were successfully realized, allowing the real-time detection of acoustic waves. These excellent sensing properties of SGOTFTs, together with their advantages of facile large-area fabrication and versatility in detecting various pressure signals, make SGOTFTs a powerful strategy for spatial pressure mapping in practical applications.
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Natural Sciences, Materials Engineering, Materials Science +12